20.2.5 GPU Implementations and Algorithms for Image Processing and Computer Vision

OpenVidia,
Online2006.
WWW Link. Code, Open Source. Code, GPU. Code, Computer Vision. Opensource computer vision algorithms for computer graphics hardware. Uses OpenGL, Cg, CUDA. Primarily from the Toronto group.
See also University of Toronto. BibRef 0600

GPU4Vision,
Online2009.
WWW Link. Code, Computer Vision. Code, GPU. Opensource computer vision algorithms for NVIDIA hardware.
See also Graz University of Technology. BibRef 0900

AccelerEyes,
2008
WWW Link. Code, Computer Vision. Code, GPU. Matlab toolbox to generate code for GPUs.

Babenko, P.[Pavel], Shah, M.[Mubarak],
MinGPU: a minimum GPU library for computer vision,
RealTimeIP(3), No. 4, December 2008, pp. xx-yy.
Springer DOI 0811
BibRef

Gobron, S.[Stéphane], Devillard, F.[François], Heit, B.[Bernard],
Retina simulation using cellular automata and GPU programming,
MVA(18), No. 6, December 2007, pp. 331-342.
Springer DOI 0711
BibRef

Ho, T.Y.[Tze-Yui], Lam, P.M.[Ping-Man], Leung, C.S.[Chi-Sing],
Parallelization of cellular neural networks on GPU,
PR(41), No. 8, August 2008, pp. 2684-2692.
Elsevier DOI 0805
Cellular neural networks; SIMD; GPU BibRef

Aiger, D.[Dror], Kedem, K.[Klara],
A GPU-based Algorithm For Approximately Finding The Largest Common Point Set In The Plane Under Similarity Transformation,
IJIG(9), No. 2, April 2009, pp. 287-298. 0905

See also Approximate input sensitive algorithms for point pattern matching. BibRef

Kim, K.H.[Kwan-Ho], Lee, S.J.[Seung-Jin], Kim, J.Y.[Joo-Young], Kim, M.S.[Min-Su], Yoo, H.J.[Hoi-Jun],
A Configurable Heterogeneous Multicore Architecture With Cellular Neural Network for Real-Time Object Recognition,
CirSysVideo(19), No. 11, November 2009, pp. 1612-1622.
IEEE DOI 0912
Neural network approach to recognition. BibRef

Topping, R.[Rusty],
Graphics processing units revolutionize hyperspectral data processing,
SPIE(Newsroom), October 29, 2009.
DOI Link 0910
Advanced image-processing algorithms achieve improvements in performance of up to two orders of magnitude compared with current optimal implementations. BibRef

Quinton, J.C.[Jean-Charles],
A generic library for structured real-time computations: GPU implementation applied to retinal and cortical vision processes,
MVA(21), No. 4, June 2010, pp. xx-yy.
Springer DOI 1006
BibRef

Liu, Y.C.[Yong-Chao], Schmidt, B.[Bertil], Liu, W.G.[Wei-Guo], Maskell, D.L.[Douglas L.],
CUDA-MEME: Accelerating motif discovery in biological sequences using CUDA-enabled graphics processing units,
PRL(31), No. 14, 15 October 2010, pp. 2170-2177.
Elsevier DOI 1003
CUDA; MEME; GPU; Motif discovery BibRef

Lu, P.J.[Peter J.], Oki, H.[Hidekazu], Frey, C.A.[Catherine A.], Chamitoff, G.E.[Gregory E.], Chiao, L.[Leroy], Fincke, E.M.[Edward M.], Foale, C.M.[C. Michael], Magnus, S.H.[Sandra H.], McArthur Jr., W.S.[William S.], Tani, D.M.[Daniel M.], Whitson, P.A.[Peggy A.], Williams, J.N.[Jeffrey N.], Meyer, W.V.[William V.], Sicker, R.J.[Ronald J.], Au, B.J.[Brion J.], Christiansen, M.[Mark], Schofield, A.B.[Andrew B.], Weitz, D.A.[David A.],
Orders-of-magnitude performance increases in GPU-accelerated correlation of images from the International Space Station,
RealTimeIP(5), No. 3, September 2010, pp. 179-193.
WWW Link. 1011
BibRef

Park, I.K.[In Kyu], Germann, M.[Marcel], Breitenstein, M.D.[Michael D.], Pfister, H.[Hanspeter],
Fast and automatic object pose estimation for range images on the GPU,
MVA(21), No. 5, August 2010, pp. 749-766.
WWW Link. 1011
BibRef

van de Sande, K.E.A., Gevers, T., Snoek, C.G.M.,
Empowering Visual Categorization With the GPU,
MultMed(13), No. 1, 2011, pp. 60-70.
IEEE DOI 1102
BibRef

Schmid, J.[Jérôme], Guitián, J.A.I.[José A. Iglesias], Gobbetti, E.[Enrico], Magnenat-Thalmann, N.[Nadia],
A GPU framework for parallel segmentation of volumetric images using discrete deformable models,
VC(27), No. 2, February 2011, pp. 85-95.
WWW Link. 1103
BibRef

He, L.Q.[Li-Qiang], Zhang, G.Y.[Guang-Yong], Zhang, Y.Y.[Yan-Yan],
Speeding Up Best Neighborhood Matching Algorithm For High-definition Image on GPU Platform,
IJIG(11), No. 1, January 2011, pp. 315-337.
DOI Link 1108
BibRef

Ferreira, J.F.[João Filipe], Lobo, J.[Jorge], Dias, J.[Jorge],
Bayesian real-time perception algorithms on GPU: Real-time implementation of Bayesian models for multimodal perception using CUDA,
RealTimeIP(6), No. 3, September 2011, pp. 171-186.
WWW Link. 1108
BibRef

Herout, A.[Adam], Jošth, R.[Radovan], Juránek, R.[Roman], Havel, J.[Jirí], Hradiš, M.[Michal], Zemcík, P.[Pavel],
Real-time object detection on CUDA,
RealTimeIP(6), No. 3, September 2011, pp. 159-170.
WWW Link. 1108
BibRef

Martínez-Zarzuela, M., Díaz-Pernas, F.J., Antón-Rodríguez, M., Díez-Higuera, J.F., González-Ortega, D., Boto-Giralda, D., López-González, F., de la Torre, I.,
Multi-scale neural texture classification using the GPU as a stream processing engine,
MVA(22), No. 6, November 2011, pp. 947-966.
WWW Link. 1110
GPU implementation for texture BibRef

Gembris, D.[Daniel], Neeb, M.[Markus], Gipp, M.[Markus], Kugel, A.[Andreas], Männer, R.[Reinhard],
Correlation analysis on GPU systems using NVIDIA™s CUDA,
RealTimeIP(6), No. 4, December 2011, pp. 275-280.
WWW Link. 1111
BibRef

Hahmann, S.[Stefanie], Bonneau, G.P.[Georges-Pierre], Barbier, S.[Sébastien], Elber, G.[Gershon], Hagen, H.[Hans],
Volume-preserving FFD for programmable graphics hardware,
VC(27), No. 3, March 2011, pp. 231-245.
WWW Link. 1203
BibRef

Urena, R.[Raquel], Martinez-Canada, P.[Pablo], Gomez-Lopez, J.M.[Juan Manuel], Morillas, C.[Christian], Pelayo, F.[Francisco],
Real-time tone mapping on GPU and FPGA,
JIVP(2012), No. 1 2012, pp. xx-yy.
DOI Link 1203
BibRef

Varray, F.[Francois], Cachard, C.[Christian], Ramalli, A.[Alessandro], Tortoli, P.[Piero], Basset, O.[Olivier],
Simulation of ultrasound nonlinear propagation on GPU using a generalized angular spectrum method,
JIVP(2011), No. 1 2011, pp. xx-yy.
DOI Link 1203
BibRef

Pieters, B.[Bart], Hollemeersch, C.F.[Charles-Frederik], de Cock, J.[Jan], Lambert, P.[Peter], van de Walle, R.[Rik],
Data-parallel intra decoding for block-based image and video coding on massively parallel architectures,
SP:IC(27), No. 3, March 2012, pp. 220-237.
Elsevier DOI 1203
GPU; H.264/AVC; Intra prediction; JPEG XR; Massively parallel; Parallel processing BibRef

Pieters, B.[Bart], de Cock, J.[Jan], Hollemeersch, C.F.[Charles-Frederik], Wielandt, J.[Jeroen], Lambert, P.[Peter], van de Walle, R.[Rik],
Ultra High Definition video decoding with Motion JPEG XR using the GPU,
ICIP11(377-380).
IEEE DOI 1201
BibRef

Chien, S.Y., Lok, K.H., Lu, Y.C.,
Low-Decoding-Latency Buffer Compression for Graphics Processing Units,
MultMed(14), No. 2, 2012, pp. 250-263.
IEEE DOI 1204
BibRef

Singhal, N.[Nitin], Yoo, J.W.[Jin Woo], Choi, H.Y.[Ho Yeol], Park, I.K.[In Kyu],
Implementation and Optimization of Image Processing Algorithms on Embedded GPU,
IEICE(E95-D), No. 5, May 2012, pp. 1475-1484.
WWW Link. 1202
BibRef

Seiller, N.[Nicolas], Singhal, N.[Nitin], Park, I.K.[In Kyu],
Object oriented framework for real-time image processing on GPU,
ICIP10(4477-4480).
IEEE DOI 1009
BibRef

Singhal, N.[Nitin], Park, I.K.[In Kyu], Cho, S.[Sungdae],
Implementation and optimization of image processing algorithms on handheld GPU,
ICIP10(4481-4484).
IEEE DOI 1009
BibRef

Park, I.K.[In Kyu], Singhal, N.[Nitin], Lee, M.H.[Man Hee], Cho, S.[Sungdae],
Efficient design and implementation of visual computing algorithms on the GPU,
ICIP09(2321-2324).
IEEE DOI 0911
BibRef

Jošth, R.[Radovan], Antikainen, J.[Jukka], Havel, J.[Jirí], Heroutt, A.[Adam], Zemcík, P.[Pavel], Hauta-Kasari, M.[Markku],
Real-time PCA calculation for spectral imaging (using SIMD and GP-GPU),
RealTimeIP(7), No. 2, June 2012, pp. 95-103.
WWW Link. 1202
BibRef

Wang, K., Shen, Z.,
A GPU-Based Parallel Genetic Algorithm for Generating Daily Activity Plans,
ITS(13), No. 3, September 2012, pp. 1474-1480.
IEEE DOI 1209
BibRef

Abramov, A., Pauwels, K., Papon, J., Worgotter, F., Dellen, B.,
Real-Time Segmentation of Stereo Videos on a Portable System With a Mobile GPU,
CirSysVideo(22), No. 9, September 2012, pp. 1292-1305.
IEEE DOI 1209

See also Occlusion Handling in Video Segmentation via Predictive Feedback. BibRef

Zhu, X.Q.[Xiao-Qiang], Jin, X.G.[Xiao-Gang], Liu, S.J.[Sheng-Jun], Zhao, H.L.[Han-Li],
Analytical solutions for sketch-based convolution surface modeling on the GPU,
VC(27), No. 11, November 2011, pp. 1115-1125.
WWW Link. 1210
BibRef

Zhu, X.Q.[Xiao-Qiang], Jin, X.G.[Xiao-Gang], You, L.H.[Li-Hua],
High-quality tree structures modelling using local convolution surface approximation,
VC(31), No. 1, January 2015, pp. 69-82.
WWW Link. 1503
BibRef

Durdevic, D.M.[Dorde M.], Tartalja, I.I.[Igor I.],
HFPaC: GPU friendly height field parallel compression,
GeoInfo(17), No. 1, January 2013, pp. 207-233.
WWW Link. 1302
BibRef

Atkinson, I.C.[Ian C.], Liu, G.[Geng], Obeid, N.[Nady], Thulborn, K.R.[Keith R.], Hwu, W.M.[Wen-Mei],
Rapid computation of sodium bioscales using gpu-accelerated image reconstruction,
IJIST(23), No. 1, March 2013, pp. 29-35.
DOI Link 1303
BibRef

Gómez-Luna, J.[Juan], González-Linares, J.M.[José María], Benavides, J.I.[José Ignacio], Guil, N.[Nicolás],
An optimized approach to histogram computation on GPU,
MVA(24), No. 5, July 2013, pp. 899-908.
Springer DOI 1306
BibRef

Ishii, I.[Idaku], Ichida, T.[Tomoki], Gu, Q.Y.[Qing-Yi], Takaki, T.[Takeshi],
500-fps face tracking system,
RealTimeIP(8), No. 4, December 2013, pp. 379-388.
Springer DOI 1312
BibRef
Earlier: A1, A2, A4, Only:
GPU-based face tracking at 500 fps,
ICIP11(557-560).
IEEE DOI 1201
BibRef

Fang, L.Y.[Liu-Yang], Wang, M.[Mi], Li, D.R.[De-Ren], Pan, J.[Jun],
CPU/GPU near real-time preprocessing for ZY-3 satellite images: Relative radiometric correction, MTF compensation, and geocorrection,
PandRS(87), No. 1, 2014, pp. 229-240.
Elsevier DOI 1412
ZY-3 image BibRef

Fang, L.Y.[Liu Yang], Wang, M.[Mi], Li, D.R.[De Ren], Zhang, B.X.[Bing Xian],
Research on GPU-Based Real-Time MTF Compensation Algorithm,
ISIDF11(1-5).
IEEE DOI 1111
BibRef

Hsiao, C.C.[Chih-Chieh], Chu, S.L.[Slo-Li], Hsieh, C.C.[Chiu-Cheng],
An Adaptive Thread Scheduling Mechanism With Low-Power Register File for Mobile GPUs,
MultMed(16), No. 1, January 2014, pp. 60-67.
IEEE DOI 1412
file organisation BibRef

Momcilovic, S., Ilic, A., Roma, N., Sousa, L.,
Dynamic Load Balancing for Real-Time Video Encoding on Heterogeneous CPU+GPU Systems,
MultMed(16), No. 1, January 2014, pp. 108-121.
IEEE DOI 1412
graphics processing units BibRef

Ilic, A., Momcilovic, S.[Svetislav], Roma, N.[Nuno], Sousa, L.[Leonel],
Adaptive Scheduling Framework for Real-Time Video Encoding on Heterogeneous Systems,
CirSysVideo(26), No. 3, March 2016, pp. 597-611.
IEEE DOI 1603
Collaboration BibRef

Momcilovic, S.[Svetislav], Roma, N.[Nuno], Sousa, L.[Leonel],
Exploiting task and data parallelism for advanced video coding on hybrid CPU + GPU platforms,
RealTimeIP(11), No. 3, March 2016, pp. 571-587.
WWW Link. 1604
BibRef

Asaduzzaman, A.[Abu], Gummadi, D.[Deepthi],
Investigating the Impact of Data Parallelism and GPU Technology on Computer Gaming,
IJCVSP(4), No. 1, 2014, pp. 1.
WWW Link. 1407
BibRef

Yin, J.[Jian], Yu, H.[Hui], Xu, W.Z.[Wei-Zhi], Wang, Y.X.[Yu-Xuan], Tian, Z.[Zhu], Zhang, Y.P.[Ying-Ping], Chen, B.[Bochuan],
Highly parallel GEMV with register blocking method on GPU architecture,
JVCIR(25), No. 7, 2014, pp. 1566-1573.
Elsevier DOI 1410
GEMV BibRef

Moussalli, R.[Roger], Absalyamov, I.[Ildar], Vieira, M.R.[Marcos R.], Najjar, W.[Walid], Tsotras, V.J.[Vassilis J.],
High performance FPGA and GPU complex pattern matching over spatio-temporal streams,
GeoInfo(19), No. 2, April 2015, pp. 405-434.
Springer DOI 1504
BibRef

Li, S.A.[Shih-An], Chen, C.Y.[Ching-Yi], Chen, C.H.[Ching-Han],
Design of a shift-and-add based hardware accelerator for color space conversion,
RealTimeIP(10), No. 2, June 2015, pp. 193-206.
WWW Link. 1506
BibRef

Kim, S.[Seong_Ki], Kim, Y.J.[Young J.],
GPGPU-Perf: Efficient, interval-based DVFS algorithm for mobile GPGPU applications,
VC(31), No. 6-8, June 2015, pp. 1045-1054.
WWW Link. 1506
BibRef

Park, S.I.[Seung In], Cao, Y.[Yong], Watson, L.T.[Layne T.], Quek, F.[Francis],
Performance analysis of a novel GPU computation-to-core mapping scheme for robust facet image modeling,
RealTimeIP(10), No. 3, September 2015, pp. 485-500.
Springer DOI 1509
BibRef

Fernández, F.G.[Francisco Gómez], Buemi, M.E.[María Elena], Rodríguez, J.M.[Juan Manuel], Jacobo-Berlles, J.C.[Julio C.],
Performance of dynamic texture segmentation using GPU,
RealTimeIP(11), No. 2, February 2016, pp. 375-383.
Springer DOI 1602
BibRef

Andersson, F.[Fredrik], Carlsson, M.[Marcus], Nikitin, V.V.[Viktor V.],
Fast Algorithms and Efficient GPU Implementations for the Radon Transform and the Back-Projection Operator Represented as Convolution Operators,
SIIMS(9), No. 2, 2016, pp. 637-664.
DOI Link 1608
BibRef

Papaefthymiou, M.[Margarita], Hildenbrand, D.[Dietmar], Papagiannakis, G.[George],
An inclusive Conformal Geometric Algebra GPU animation interpolation and deformation algorithm,
VC(32), No. 6-8, June 2016, pp. 751-759.
WWW Link. 1608
BibRef

Lee, D.K.[Dong-Kyu], Sim, D.Y.[Dongg-Yu], Cho, K.[Keeseong], Oh, S.J.[Seoung-Jun],
Fast motion estimation for HEVC on graphics processing unit (GPU),
RealTimeIP(12), No. 2, August 2016, pp. 549-562.
Springer DOI 1608
BibRef

de Souza, D.F.[Diego F.], Ilic, A.[Aleksandar], Roma, N.[Nuno], Sousa, L.[Leonel],
GPU-assisted HEVC intra decoder,
RealTimeIP(12), No. 2, August 2016, pp. 531-547.
Springer DOI 1608
BibRef

Greengard, S.[Samuel],
GPUs Reshape Computing,
CACM(59), No. 9, September 2016, pp. 14-16.
DOI Link 1609
BibRef

Yang, P.[Po], Clapworthy, G.[Gordon], Dong, F.[Feng], Codreanu, V.[Valeriu], Williams, D.[David], Liu, B.Q.[Bao-Quan], Roerdink, J.B.T.M.[Jos B.T.M.], Deng, Z.K.[Zhi-Kun],
GSWO: A programming model for GPU-enabled parallelization of sliding window operations in image processing,
SP:IC(47), No. 1, 2016, pp. 332-345.
Elsevier DOI 1610
Parallel computing BibRef

Graca, C.[Carlos], Falcao, G.[Gabriel], Figueiredo, I.N.[Isabel N.], Kumar, S.I.[Sun-Il],
Hybrid multi-GPU computing: accelerated kernels for segmentation and object detection with medical image processing applications,
RealTimeIP(13), No. 1, March 2017, pp. 227-244.
Springer DOI 1704
BibRef

Roters, J.[Jan], Jiang, X.Y.[Xiao-Yi],
FestGPU: a framework for fast robust estimation on GPU,
RealTimeIP(13), No. 4, December 2017, pp. 759-772.
Springer DOI 1712
BibRef

Acharya, K.A.[K. Aniruddha], Babu, R.V.[R. Venkatesh], Vadhiyar, S.S.[Sathish S.],
A real-time implementation of SIFT using GPU,
RealTimeIP(14), No. 2, February 2018, pp. 267-277.
Springer DOI 1804
BibRef

Gadeski, E.[Etienne], Fard, H.O.[Hamidreza Odabai], Le Borgne, H.[Hervé],
GPU deformable part model for object recognition,
RealTimeIP(14), No. 2, February 2018, pp. 279-291.
Springer DOI 1804
BibRef

Amamra, A.[Abdenour], Aouf, N.[Nabil],
GPU-based real-time RGBD data filtering,
RealTimeIP(14), No. 2, February 2018, pp. 323-340.
WWW Link. 1804
BibRef

Soua, M.[Mahmoud], Kachouri, R.[Rostom], Akil, M.[Mohamed],
GPU parallel implementation of the new hybrid binarization based on Kmeans method (HBK),
RealTimeIP(14), No. 2, February 2018, pp. 363-377.
WWW Link. 1804
BibRef

Hossam, M.A., Ebied, H.M., Abdel-Aziz, M.H., Tolba, M.F.,
Accelerated hyperspectral image recursive hierarchical segmentation using GPUs, multicore CPUs, and hybrid CPU/GPU cluster,
RealTimeIP(14), No. 2, February 2018, pp. 413-432.
Springer DOI 1804
BibRef

Garcia-Garcia, A.[Alberto], Orts-Escolano, S.[Sergio], Garcia-Rodriguez, J.[Jose], Cazorla, M.[Miguel],
Interactive 3D object recognition pipeline on mobile GPGPU computing platforms using low-cost RGB-D sensors,
RealTimeIP(14), No. 3, March 2018, pp. 585-604.
Springer DOI 1804
BibRef

Jiang, B.[Bo],
Real-time multi-resolution edge detection with pattern analysis on graphics processing unit,
RealTimeIP(14), No. 2, February 2018, pp. 293-321.
WWW Link. 1804
BibRef

Zhang, Y.H.[Yue-Heng], Zheng, X.[Xinqi], Wang, Z.H.[Zhen-Hua], Ai, G.[Gang], Huang, Q.[Qing],
Implementation of a Parallel GPU-Based Space-Time Kriging Framework,
IJGI(7), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

HajiRassouliha, A.[Amir], Taberner, A.J.[Andrew J.], Nash, M.P.[Martyn P.], Nielsen, P.M.F.[Poul M.F.],
Suitability of recent hardware accelerators (DSPs, FPGAs, and GPUs) for computer vision and image processing algorithms,
SP:IC(68), 2018, pp. 101-119.
Elsevier DOI 1810
Review, Image processing, Digital signal processor (DSP), Graphics processing unit (GPU) BibRef

Georgis, G.[Georgios], Lentaris, G.[George], Reisis, D.[Dionysios],
Acceleration techniques and evaluation on multi-core CPU, GPU and FPGA for image processing and super-resolution,
RealTimeIP(16), No. 4, August 2019, pp. 1207-1234.
Springer DOI 1908
BibRef

Gulo, C.A.S.J.[Carlos A. S. J.], de Arruda, H.F.[Henrique F.], de Araujo, A.F.[Alex F.], Sementille, A.C.[Antonio C.], Tavares, J.M.R.S.[João Manuel R. S.],
Efficient parallelization on GPU of an image smoothing method based on a variational model,
RealTimeIP(16), No. 4, August 2019, pp. 1249-1261.
Springer DOI 1908
BibRef

Doycheva, K.[Kristina], Koch, C.[Christian], König, M.[Markus],
Implementing textural features on GPUs for improved real-time pavement distress detection,
RealTimeIP(16), No. 5, October 2019, pp. 1383-1394.
WWW Link. 1911
BibRef

Pfleger, S.G.[Sergio G.], Plentz, P.D.M.[Patricia D. M.], Rocha, R.C.O.[Rodrigo C. O.], Pereira, A.D.[Alyson D.], Castro, M.[Márcio],
Real-time video denoising on multicores and GPUs with Kalman-based and Bilateral filters fusion,
RealTimeIP(16), No. 5, October 2019, pp. 1629-1642.
Springer DOI 1911
BibRef

Elliethy, A.[Ahmed], Sharma, G.[Gaurav],
Accelerated parametric chamfer alignment using a parallel, pipelined GPU realization,
RealTimeIP(16), No. 5, October 2019, pp. 1661-1680.
WWW Link. 1911
BibRef

Sriramakrishnan, P.[Padmanaban], Kalaiselvi, T.[Thiruvenkadam], Somasundaram, K.[Karuppanagounder], Rajeswaran, R.[Rangasami],
A rapid knowledge-based partial supervision fuzzy c-means for brain tissue segmentation with CUDA-enabled GPU machine,
IJIST(29), No. 4, 2019, pp. 547-560.
DOI Link 1911
brain scans, GPU CUDA, labeled patterns, parallel computing, tissue segmentation BibRef

Honzátko, D.[David], Kruliš, M.[Martin],
Accelerating block-matching and 3D filtering method for image denoising on GPUs,
RealTimeIP(16), No. 6, December 2019, pp. 2273-2287.
WWW Link. 1912
BibRef

Mehrez, A.[Ahmed], Morgan, A.A.[Ahmed A.], Hemayed, E.E.[Elsayed E.],
Speeding up spatiotemporal feature extraction using GPU,
RealTimeIP(16), No. 6, December 2019, pp. 2379-2407.
WWW Link. 1912
BibRef

Yamaguchi, T., Ichimura, T., Fujita, K., Kato, A., Nakagawa, S.,
Matched Filtering Accelerated by Tensor Cores on Volta GPUs With Improved Accuracy Using Half-Precision Variables,
SPLetters(26), No. 12, December 2019, pp. 1857-1861.
IEEE DOI 2001
application program interfaces, coprocessors, filtering theory, geophysical signal processing, graphics processing units, half precision arithmetic BibRef

Ban, Z.H.[Zhi-Hua], Liu, J.G.[Jian-Guo], Fouriaux, J.[Jeremy],
GMMSP on GPU,
RealTimeIP(17), No. 2, April 2020, pp. 245-257.
WWW Link. 2004
BibRef

Paoletti, M.E.[Mercedes E.], Haut, J.M.[Juan M.], Tao, X.[Xuanwen], Miguel, J.P.[Javier Plaza], Plaza, A.[Antonio],
A New GPU Implementation of Support Vector Machines for Fast Hyperspectral Image Classification,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Liu, S., Chen, J., Ai, Y., Rahardja, S.,
An Optimized Quantization Constraints Set for Image Restoration and its GPU Implementation,
IP(29), 2020, pp. 6043-6053.
IEEE DOI 2005
Discrete cosine transforms, Image restoration, Quantization (signal), Graphics processing units, GPU parallelism BibRef

Caba, J.[Julián], Díaz, M.[María], Barba, J.[Jesús], Guerra, R.[Raúl], de la Torre, J.A.[Jose A.], López, S.[Sebastián],
FPGA-Based On-Board Hyperspectral Imaging Compression: Benchmarking Performance and Energy Efficiency against GPU Implementations,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Nunes, L.S.N.[Lucas Saad Nogueira], Bordim, J.L.[Jacir Luiz], Ito, Y.[Yasuaki], Nakano, K.[Koji],
A Rabin-Karp Implementation for Handling Multiple Pattern-Matching on the GPU,
IEICE(E103-D), No. 12, December 2020, pp. 2412-2420.
WWW Link. 2012
BibRef

Jia, C.M.[Chuan-Min], Luo, F.L.[Fa-Lei], Zhang, X.F.[Xin-Feng], Wang, S.Q.[Shi-Qi], Wang, S.S.[Shan-She], Ma, S.W.[Si-Wei],
Fast Non-Local Adaptive In-Loop Filter Optimization on GPU,
MultMed(23), 2021, pp. 39-51.
IEEE DOI 2012
Graphics processing units, Video coding, Standards, Encoding, Image reconstruction, Optimization, Image coding, Video coding, NSS, GPU BibRef

Zhang, F.[Fan], Zhao, C.X.[Chen-Xi], Han, S.T.[Song-Tao], Ma, F.[Fei], Xiang, D.L.[De-Liang],
GPU-Based Parallel Implementation of VLBI Correlator for Deep Space Exploration System,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Ferraz, O.[Oscar], Silva, V.[Vitor], Falcao, G.[Gabriel],
Hyperspectral Parallel Image Compression on Edge GPUs,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Lam, H.M.[Hing-Mo], Guo, F.[Fan], Qiu, H.[Hezi], Zhang, M.[Min], Jiao, H.L.[Hai-Long], Zhang, S.D.[Sheng-Dong],
Pseudo Multi-Port SRAM Circuit for Image Processing in Display Drivers,
CirSysVideo(31), No. 5, 2021, pp. 2056-2062.
IEEE DOI 2105
BibRef

Ignatov, A.[Andrey], Byeoung-Su, K.[Kim], Timofte, R.[Radu], Pouget, A.[Angeline], Song, F.[Fenglong], Li, C.[Cheng], Xiao, S.[Shuai], Fu, Z.Q.[Zhong-Qian], Maggioni, M.[Matteo], Huang, Y.[Yibin], Cheng, S.[Shen], Lu, X.[Xin], Zhou, Y.F.[Yi-Feng], Chen, L.[Liangyu], Liu, D.[Donghao], Zhang, X.Y.[Xiang-Yu], Fan, H.Q.[Hao-Qiang], Sun, J.[Jian], Liu, S.C.[Shuai-Cheng], Kwon, M.[Minsu], Lee, M.J.[Myung-Je], Yoo, J.[Jaeyoon], Kang, C.B.[Chang-Beom], Wang, S.J.[Shin-Jo], Huang, B.[Bin], Zhou, T.[Tianbao], Liu, S.[Shuai], Lei, L.[Lei], Feng, C.Y.[Chao-Yu], Huang, L.G.[Li-Guang], Lei, Z.K.[Zhi-Kun], Chen, F.F.[Fei-Fei],
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report,
MAI21(2515-2524)
IEEE DOI 2109
Runtime, Image resolution, Neural networks, Graphics processing units, Mobile handsets, Pattern recognition, Noise measurement BibRef

Miron, C.[Casian], Pasarica, A.[Alexandru], Timofte, R.[Radu],
Efficient CNN Architecture for Multi-modal Aerial View Object Classification,
NTIRE21(560-565)
IEEE DOI 2109
Training, Target recognition, Systems architecture, Graphics processing units, Computer architecture BibRef

de Cea-Dominguez, C.[Carlos], Moure, J.C.[Juan C.], Bartrina-Rapesta, J.[Joan], Aulí-Llinàs, F.[Francesc],
Real-time 16K video coding on a GPU with complexity scalable BPC-PaCo,
SP:IC(99), 2021, pp. 116503.
Elsevier DOI 2111
High throughput image and video coding, GPU, CUDA, JPEG2000, HTJ2K BibRef

En-Nejjary, D.[Driss], Pinet, F.[François], Kang, M.A.[Myoung-Ah],
Spatial Data Sequence Selection Based on a User-Defined Condition Using GPGPU,
IJGI(10), No. 12, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Rougeron, G.[Gilles], Garrec, J.L.[Jérémie Le], Andriot, C.[Claude],
Optimal positioning of terrestrial LiDAR scanner stations in complex 3D environments with a multiobjective optimization method based on GPU simulations,
PandRS(193), 2022, pp. 60-76.
Elsevier DOI 2210
Terrestrial liDAR, Survey design, 3D point clouds, Multiobjective problem, Simulation modeling, GPU computing BibRef

Li, C.[Chao], Xu, R.[Rui], Lv, Y.[Yong], Zhao, Y.H.[Yong-Hui], Jing, W.P.[Wei-Peng],
Edge Real-Time Object Detection and DPU-Based Hardware Implementation for Optical Remote Sensing Images,
RS(15), No. 16, 2023, pp. 3975.
DOI Link 2309
BibRef

Oh, J.[Junseok], Yoon, D.[Donghwee], Kim, I.[Injung],
One-shot Ultra-high-Resolution Generative Adversarial Network That Synthesizes 16K Images On A Single GPU,
IVC(139), 2023, pp. 104815.
Elsevier DOI Code:
WWW Link. 2311
One-shot image synthesis, UHR image synthesis, Seamless subregion-wise super-resolution, Generative adversarial network (GAN) BibRef

Li, Z.[Ziya], Qiu, X.L.[Xiao-Lan], Yang, J.[Jun], Meng, D.[Dadi], Huang, L.[Lijia], Song, S.[Shujie],
An Efficient BP Algorithm Based on TSU-ICSI Combined with GPU Parallel Computing,
RS(15), No. 23, 2023, pp. 5529.
DOI Link 2312
BibRef

Yang, T.[Tao], Zhang, X.Y.[Xin-Yu], Xu, Q.B.[Qing-Bo], Zhang, S.X.[Shuang-Xi], Wang, T.[Tong],
An Embedded-GPU-Based Scheme for Real-Time Imaging Processing of Unmanned Aerial Vehicle Borne Video Synthetic Aperture Radar,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Yang, T.[Tao], Wang, T.[Tong], Zheng, N.N.[Nan-Nan], Zhang, S.X.[Shuang-Xi], Meng, F.T.[Fan-Teng], Zhang, X.Y.[Xin-Yu], Wu, Q.[Qirui],
Miniaturization Design of High-Integration Unmanned Aerial Vehicle-Borne Video Synthetic Aperture Radar Real-Time Imaging Processing Component,
RS(16), No. 7, 2024, pp. 1273.
DOI Link 2404
BibRef

Qiu, X.[Xihe], Hao, T.[Teqi], Shi, S.J.[Shao-Jie], Tan, X.Y.[Xiao-Yu], Xiong, Y.J.[Yu-Jie],
Chain-of-LoRA: Enhancing the Instruction Fine-Tuning Performance of Low-Rank Adaptation on Diverse Instruction Set,
SPLetters(31), 2024, pp. 875-879.
IEEE DOI 2404
Task analysis, Training, Computational modeling, Adaptation models, Predictive models, Optimization, Graphics processing units, instruction fine-tuning BibRef

Wang, P.[Puwei], Liao, S.[Simon],
Real-time 3-D image analysis via Jacobi moments,
PRL(181), 2024, pp. 57-63.
Elsevier DOI 2405
Jacobi moments, GPU acceleration, Real-time moment computing, 3-D image analysis BibRef

Han, Q.[Qing], Sun, M.N.[Meng-Nan], Zheng, B.[Bing], Fu, M.[Min],
Optical Imaging Model Based on GPU-Accelerated Monte Carlo Simulation for Deep-Sea Luminescent Objects,
RS(16), No. 13, 2024, pp. 2429.
DOI Link 2407
BibRef

Chang, Q.[Qiong], Xu, X.[Xin], Zha, A.[Aolong], Er, M.J.[Meng Joo], Sun, Y.Q.[Yong-Qing], Li, Y.[Yun],
TinyStereo: A Tiny Coarse-to-Fine Framework for Vision-Based Depth Estimation on Embedded GPUs,
SMCS(54), No. 8, August 2024, pp. 5196-5208.
IEEE DOI 2408
Feature extraction, Graphics processing units, Costs, Real-time systems, Error analysis, Stereo vision, Estimation, super-resolution residual net BibRef

Ignatov, A.[Andrey], Timofte, R.[Radu], Liu, S.[Shuai], Feng, C.[Chaoyu], Bai, F.[Furui], Wang, X.T.[Xiao-Tao], Lei, L.[Lei], Yi, Z.[Ziyao], Xiang, Y.[Yan], Liu, Z.[Zibin], Li, S.Q.[Shao-Qing], Shi, K.M.[Ke-Ming], Kong, D.[Dehui], Xu, K.[Ke], Kwon, M.[Minsu], Wu, Y.[Yaqi], Zheng, J.[Jiesi], Fan, Z.H.[Zhi-Hao], Wu, X.[Xun], Zhang, F.[Feng], No, A.[Albert], Cho, M.[Minhyeok], Chen, Z.[Zewen], Zhang, X.[Xiaze], Li, R.[Ran], Wang, J.[Juan], Wang, Z.M.[Zhi-Ming], Conde, M.V.[Marcos V.], Choi, U.J.[Ui-Jin], Perevozchikov, G.[Georgy], Ershov, E.[Egor], Hui, Z.[Zheng], Dong, M.C.[Meng-Chuan], Lou, X.[Xin], Zhou, W.[Wei], Pang, C.[Cong], Qin, H.[Haina], Cai, M.X.[Ming-Xuan],
Learned Smartphone ISP on Mobile GPUS with Deep Learning, Mobile Ai & AIM 2022 Challenge: Report,
AIM22(44-70).
Springer DOI 2304
BibRef

Gabrielyan, Y.[Yeva], Yeghiazaryan, V.[Varduhi], Voiculescu, I.[Irina],
Parallel Partitioning: Path Reducing and Union-Find Based Watershed for the GPU,
ICIP22(1501-1505)
IEEE DOI 2211
Machine learning algorithms, Signal processing algorithms, Graphics processing units, Transforms, Speech recognition, Union-Find BibRef

Abbas, A.[Ahmed], Swoboda, P.[Paul],
RAMA: A Rapid Multicut Algorithm on GPU,
CVPR22(8183-8192)
IEEE DOI 2210
Machine learning algorithms, Costs, Tracking, Shape, Pose estimation, Graphics processing units, Optimization methods, grouping and shape analysis BibRef

Wang, L.[Linnan], Yu, C.[Chenhan], Salian, S.[Satish], Kierat, S.[Slawomir], Migacz, S.[Szymon], Florea, A.F.[Alex Fit],
Searching the Deployable Convolution Neural Networks for GPUs,
CVPR22(12217-12226)
IEEE DOI 2210
Convolution, Computational modeling, Neural networks, Graphics processing units, Production, Pattern recognition, Vision applications and systems BibRef

Chien, C.H.[Chiang-Heng], Fan, H.Y.[Hong-Yi], Abdelfattah, A.[Ahmad], Tsigaridas, E.[Elias], Tomov, S.[Stanimire], Kimia, B.[Benjamin],
GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision,
CVPR22(15744-15755)
IEEE DOI 2210
Geometry, Face recognition, Pose estimation, Graphics processing units, Optimization methods, Optimization methods BibRef

Lei, H.[Huan], Akhtar, N.[Naveed], Mian, A.[Ajmal],
Picasso: A CUDA-based Library for Deep Learning over 3D Meshes,
CVPR21(13849-13859)
IEEE DOI 2111
Deep learning, Interpolation, Runtime, Tensors, Semantics, Libraries BibRef

Ridnik, T.[Tal], Lawen, H.[Hussam], Noy, A.[Asaf], Ben, E.[Emanuel], Sharir, B.G.[Baruch Gilad], Friedman, I.[Itamar],
TResNet: High Performance GPU-Dedicated Architecture,
WACV21(1399-1408)
IEEE DOI 2106
Training, Deep learning, Biological system modeling, Graphics processing units, Throughput BibRef

Mikhailiuk, A.[Aliaksei], Wilmot, C.[Clifford], Perez-Ortiz, M.[Maria], Yue, D.C.[Ding-Cheng], Mantiuk, R.K.[Rafal K.],
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization,
ICPR21(2559-2566)
IEEE DOI 2105
Message passing, Graphics processing units, Approximation algorithms, Sampling methods, Real-time systems, Quality assessment BibRef

Roch, P.[Peter], Nejad, B.S.[Bijan Shahbaz], Handte, M.[Marcus], Marrón, P.J.[Pedro José],
Systematic Optimization of Image Processing Pipelines Using GPUS,
ISVC20(II:633-646).
Springer DOI 2103
BibRef

Yeghiazaryan, V., Voiculescu, I.,
Path Reducing Watershed for the GPU,
WACV18(577-585)
IEEE DOI 1806
artificial intelligence, convolutional neural network, convolutional neural networks, Vegetation BibRef

Golyanik, V., Nasri, M., Stricker, D.,
Towards scheduling hard real-time image processing tasks on a single GPU,
ICIP17(4382-4386)
IEEE DOI 1803
Graphics processing units, Image processing, Kernel, Real-time systems, Servers, Task analysis, Time Division Multiplexing BibRef

Bruns, V., Martínez-del-Amor, M.Á., Sparenberg, H.,
GPU-friendly EBCOT variant with single-pass scan order and raw bit plane coding,
ICIP17(3230-3234)
IEEE DOI 1803
EBCOT, GPGPU, JPEG 2000 BibRef

Oki, T.[Takuro], Miyamoto, R.[Ryusuke],
Efficient GPU Implementation of Informed-Filters for Fast Computation,
PSIVT17(302-313).
Springer DOI 1802
BibRef

Lin, Y.S., Chen, W.C., Chien, S.Y.,
Unrolled Memory Inner-Products: An Abstract GPU Operator for Efficient Vision-Related Computations,
ICCV17(4587-4595)
IEEE DOI 1802
graphics processing units, neural nets, storage management, CNN, UMI representation, Tensile stress BibRef

Hernandez-Juarez, D., Espinosa, A., Moure, J.C., Vázquez, D., López, A.M.,
GPU-Accelerated Real-Time Stixel Computation,
WACV17(1054-1062)
IEEE DOI 1609
Computational modeling, Dynamic programming, Estimation, Image segmentation, Optimization, Real-time systems, Roads BibRef

Ouerghi, S., Tlili, F.,
CUDA accelerated visual relative motion estimation,
ISIVC16(302-307)
IEEE DOI 1704
Cameras BibRef

Parker, C.[Christopher], Daiter, M.[Matthew], Omar, K.[Kareem], Levi, G.[Gil], Hassner, T.[Tal],
The CUDA LATCH Binary Descriptor: Because Sometimes Faster Means Better,
LocalFea16(III: 685-697).
Springer DOI 1611

See also LATCH: Learned arrangements of three patch codes. Learned Arrangement of Three Patches.
See also LATCH: Learned arrangements of three patch codes. BibRef

Zhang, W., Xiao, S., Shi, X.,
Low-poly style image and video processing,
WSSIP15(97-100)
IEEE DOI 1603
Graphics style. graphics processing units. BibRef

de Goussencourt, T.[Timothee], Bertolino, P.[Pascal],
Using the unity® game engine as a platform for advanced real time cinema image processing,
ICIP15(4146-4149)
IEEE DOI 1512
Compositing; Depth map; Previz on-set; Real-time; Unity; Virtual Production BibRef

Rahmani, H., Topal, C., Akinlar, C.,
A parallel Huffman coder on the CUDA architecture,
VCIP14(311-314)
IEEE DOI 1504
Huffman codes BibRef

Chatfield, K.[Ken], Simonyan, K.[Karen], Zisserman, A.[Andrew],
Efficient On-the-fly Category Retrieval Using ConvNets and GPUs,
ACCV14(I: 129-145).
Springer DOI 1504
BibRef

Mahmoudi, S.A.[Sidi Ahmed], Manneback, P.[Pierre],
Efficient exploitation of heterogeneous platforms for images features extraction,
IPTA12(91-96)
IEEE DOI 1503
edge detection BibRef

Faro, A., Giordano, D., Palazzo, S.,
Integrating unsupervised and supervised clustering methods on a GPU platform for fast image segmentation,
IPTA12(85-90)
IEEE DOI 1503
graphics processing units BibRef

Bosek, B., Horwath, L., Matecki, G., Pawlik, A.,
High performance GPGPU based system for matching people in a live video feed,
IPTA12(448-454)
IEEE DOI 1503
computational geometry BibRef

Goossens, B.[Bart], de Vylder, J.[Jonas], Philips, W.[Wilfried],
Quasar: A new heterogeneous programming framework for image and video processing algorithms on CPU and GPU,
ICIP14(2183-2185)
IEEE DOI 1502
Algorithm design and analysis BibRef

Shrivastava, P.[Prateek], Das, S.[Sukhendu],
GPU Based Particle Coding Scheme for Virtual Cutting of Meshfree Particle Systems,
ISVC14(I: 550-559).
Springer DOI 1501
BibRef

McGraw, T.[Tim], Herring, D.[Donald],
High-Order Diffusion Tensor Connectivity Mapping on the GPU,
ISVC14(II: 396-405).
Springer DOI 1501
BibRef

Castro-Palazuelos, D.[David], Robles-Valdez, D.[Daniel], Torres-Roman, D.[Deni],
An Efficient GPU-Based Implementation of the R-MSF-Algorithm for Remote Sensing Imagery,
CASI14(1030-1038).
Springer DOI 1411
BibRef

Su, T.H.[Tong-Hua], Li, S.Z.[Song-Ze], Ma, P.J.[Pei-Jun], Deng, S.C.[Sheng-Chun], Liang, G.S.[Guang-Sheng],
Scalable Prototype Learning Using GPUs,
ICIAR14(I: 309-319).
Springer DOI 1410
BibRef

Kryjak, T.[Tomasz], Gorgon, M.[Marek],
Real-Time Implementation of Background Modelling Algorithms in FPGA Devices,
SBMI15(519-526).
Springer DOI 1511
BibRef

Bulat, B.[Bartlomiej], Kryjak, T.[Tomasz], Gorgon, M.[Marek],
Implementation of Advanced Foreground Segmentation Algorithms GMM, ViBE and PBAS in FPGA and GPU: A Comparison,
ICCVG14(124-131).
Springer DOI 1410
BibRef

Sadeghi, M.A.[Mohammad Amin], Forsyth, D.A.[David A.],
30Hz Object Detection with DPM V5,
ECCV14(I: 65-79).
Springer DOI 1408
BibRef

Fatemi, H.[Hamed], Jaberipur, G.[Ghassem],
Double (0, 1, 2) representation modulo-(2n^3) adders,
WSSIP14(119-122) 1406
Adders BibRef

Leung, K.C.[Kai-Cheung], Eyers, D., Tang, X.X.[Xiao-Xin], Mills, S., Huang, Z.Y.[Zhi-Yi],
Investigating large-scale feature matching using the Intel® Xeon Phi™ coprocessor,
IVCNZ13(148-153)
IEEE DOI 1412
feature extraction BibRef

Alvarez-Cedillo, J.[Jesús], Herrera-Lozada, J.[Juan], Rivera-Zarate, I.[Israel],
Implementation Strategy of NDVI Algorithm with Nvidia Thrust,
PSIVT13(184-193).
Springer DOI 1412
BibRef

Piñeyro, M.[Martn], Keldjian, J.[Julieta], Pardo, A.[Alvaro],
GPU Based Implementation of Film Flicker Reduction Algorithms,
CIARP13(II:463-470).
Springer DOI 1311
BibRef

de Assis Zampirolli, F.[Francisco], Filipe, L.[Leonardo],
Distance Transform Separable by Mathematical Morphology in GPU,
CIARP13(I:41-48).
Springer DOI 1311
BibRef

Poostchi, M.[Mahdieh], Palaniappan, K.[Kannappan], Bunyak, F.[Filiz], Becchi, M.[Michela], Seetharaman, G.[Guna],
Efficient GPU Implementation of the Integral Histogram,
DevCen12(I:266-278).
Springer DOI 1304
BibRef

Wang, K.[Kai], Wang, L.[Lifu], Lu, J.[Jian], Sun, Y.[Yi], Zhao, S.P.[Shu-Ping],
A GPU-based implementation on super-resolution reconstruction,
ICIP12(849-852).
IEEE DOI 1302
BibRef

Park, A.[Anjin], Kim, J.[Jinwook],
GPU accelerated view synthesis from multiple RGB-D images,
ICIP12(573-576).
IEEE DOI 1302
BibRef

Hartung, S.[Steven], Shukla, H.[Hemant], Miller, J.P.[J. Patrick], Pennypacker, C.R.[Carlton R.],
GPU acceleration of image convolution using spatially-varying kernel,
ICIP12(1685-1688).
IEEE DOI 1302
BibRef

Monteiro, E.[Eduarda], Maule, M.[Marilena], Sampaio, F.[Felipe], Diniz, C.[Claudio], Zatt, B.[Bruno], Bampi, S.[Sergio],
Real-time block matching motion estimation onto GPGPU,
ICIP12(1693-1696).
IEEE DOI 1302
BibRef

Galluzzo, F.[Francesca], Speciale, N.[Nicolo], Bernard, O.[Olivier],
A rigorous and efficient GPU implementation of level-set sparse field algorithm,
ICIP12(1705-1708).
IEEE DOI 1302
BibRef

Sun, X.[Xiuyu], Wang, Z.Q.[Zhi-Qiang], Chen, G.[George],
Parallel active contour with Lattice Boltzmann scheme on modern GPU,
ICIP12(1709-1712).
IEEE DOI 1302
BibRef

Dai, C.G.[Chen-Guang], Ji, S.[Song], Yang, J.Y.[Jing-Yu],
Dense computing task analysis of multi-view matching method and GPU implementation,
CVRS12(183-188).
IEEE DOI 1302
BibRef

Rodríguez, J.M.[Juan Manuel], Fernández, F.G.[Francisco Gómez], Buemi, M.E.[María Elena], Jacobo-Berlles, J.[Julio],
Dynamic Textures Segmentation with GPU,
CIARP12(607-614).
Springer DOI 1209
BibRef

Nitsche, M.A.[Matías Alejandro], de Cristóforis, P.[Pablo],
Real-time On-board Image Processing Using an Embedded GPU for Monocular Vision-based Navigation,
CIARP12(591-598).
Springer DOI 1209
BibRef

Eibner, G.[Gottfried], Fuhrmann, A.[Anton], Purgathofer, W.[Werner],
GPU-based Multi-resolution Image Analysis for Synthesis of Tileable Textures,
ISVC12(II: 479-488).
Springer DOI 1209
BibRef

Karas, P.[Pavel], Svoboda, D.[David], Zemcík, P.[Pavel],
GPU Optimization of Convolution for Large 3-D Real Images,
ACIVS12(59-71).
Springer DOI 1209
BibRef

Amresh, A.[Ashish], Femiani, J.[John], Fünfzig, C.[Christoph],
Methods for Approximating Loop Subdivision Using Tessellation Enabled GPUs,
ISVC12(I: 115-125).
Springer DOI 1209
BibRef

Schreiber, D.[David], Beleznai, C.[Csaba], Rauter, M.[Michael],
GPU-Accelerated Human Detection Using Fast Directional Chamfer Matching,
ECVW13(614-621)
IEEE DOI 1309
BibRef
Earlier: A2, A1, A3:
Pedestrian detection using GPU-accelerated multiple cue computation,
ECVW11(58-65).
IEEE DOI 1106
BibRef

Schreiber, D.[David], Rauter, M.[Michael],
A CPU-GPU hybrid people counting system for real-world airport scenarios using arbitrary oblique view cameras,
ECVW12(83-88).
IEEE DOI 1207
BibRef
Earlier:
A GPU accelerated Fast Directional Chamfer Matching algorithm and a detailed comparison with a highly optimized CPU implementation,
ECVW12(68-75).
IEEE DOI 1207
Chamfer Matching BibRef

Sah, S.[Sudhakar], Vanek, J.[Jan], Roh, Y.J.[Young-Jun], Wasnik, R.[Ratul],
GPU Accelerated Real Time Rotation, Scale and Translation Invariant Image Registration Method,
ICIAR12(I: 224-233).
Springer DOI 1206
BibRef

Neumann, D.[Dominik], Lugauer, F.[Felix], Bauer, S.[Sebastian], Wasza, J.[Jakob], Hornegger, J.[Joachim],
Real-time RGB-D mapping and 3-D modeling on the GPU using the random ball cover data structure,
ConDepth11(1161-1167).
IEEE DOI 1201
BibRef

Sundaram, N.[Narayanan], Keutzer, K.[Kurt],
Long term video segmentation through pixel level spectral clustering on GPUs,
CVGPU11(475-482).
IEEE DOI 1201
BibRef

Lu, C.T.[Chih-Te], Hang, H.M.[Hsueh-Ming],
Multiview encoder parallelized fast search realization on NVIDIA CUDA,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Schwarzkopf, A.[Andreas], Kalbe, T.[Thomas], Bajaj, C.[Chandrajit], Kuijper, A.[Arjan], Goesele, M.[Michael],
Volumetric Nonlinear Anisotropic Diffusion on GPUs,
SSVM11(62-73).
Springer DOI 1201
BibRef

Rodríguez-Sánchez, R.[Rafael], Martínez, J.L.[José Luis], Fernández-Escribano, G.[Gerardo], Sánchez, J.L.[José Luis], Claver, J.M.[José Manuel],
A Fast GPU-Based Motion Estimation Algorithm for H.264/AVC,
MMMod12(551-562).
Springer DOI 1201
BibRef

Yu, F.C.[Feng-Chao], Liu, H.F.[Hua-Feng], Shi, P.C.[Peng-Cheng],
Pet image reconstruction: GPU-accelerated particle filter framework,
ICIP11(417-420).
IEEE DOI 1201
BibRef

Nagendra, P.[Pavan],
Performance characterization of automotive computer vision systems using Graphics Processing Units (GPUs),
ICIIP11(1-4).
IEEE DOI 1112
BibRef

Zhu, L.[Li], Shen, Y.C.[Yan-Chun],
Research and design of GPU-based network video stream decoding and playing system,
IASP11(257-260).
IEEE DOI 1112
BibRef

Gupta, R.[Raj], Sailaja, R.M.[Reddy M.], Panda, S.[Swagatika], Sharma, S.[Sushant], Mittal, A.[Anurag],
Foreground-background separation on GPU using order based approaches,
ICCVGIP10(448-455).
DOI Link 1111
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Montoya-Franco, F.[Felipe], Serna-Morales, A.F.[Andrés F.], Prieto, F.[Flavio],
3D Object Modeling with Graphics Hardware Acceleration and Unsupervised Neural Networks,
ISVC11(I: 664-673).
Springer DOI 1109
BibRef

Nuno-Maganda, M.A.[Marco Aurelio], Morales-Sandoval, M.[Miguel], Torres-Huitzil, C.[Cesar],
A Hardware Coprocessor Integrated with OpenCV for Edge Detection Using Cellular Neural Networks,
ICIG11(957-962).
IEEE DOI 1109
BibRef

Dong, L.F.[Lan-Fang], Chen, J.H.[Jia-Hui], Wang, J.[Jin],
A Real-Time Isoline Tracing Algorithm Based on CUDA,
ICIG11(864-867).
IEEE DOI 1109
BibRef

Li, M.[Meng], Dong, L.F.[Lan-Fang],
Visualization Three-Dimensional Geological Modeling Using CUDA,
ICIG11(852-857).
IEEE DOI 1109
BibRef

Birkbeck, N.[Neil], Sofka, M.[Michal], Zhou, S.K.[S. Kevin],
Fast boosting trees for classification, pose detection, and boundary detection on a GPU,
ECVW11(36-41).
IEEE DOI 1106
BibRef

van den Braak, G.J.[Gert-Jan], Nugteren, C.[Cedric], Mesman, B.[Bart], Corporaal, H.[Henk],
Fast Hough Transform on GPUs: Exploration of Algorithm Trade-Offs,
ACIVS11(611-622).
Springer DOI 1108
BibRef

Song, J.S.[Joong-Seok], Seo, Y.H.[Young-Ho], Park, J.I.[Jong-Il],
Fast generating of a digital hologram using general-purpose computation on graphics processing units,
FCV11(1-2).
IEEE DOI 1102
BibRef

Domanski, L.[Luke], Sun, C.M.[Chang-Ming], Hassan, R.[Raquibul], Vallotton, P.[Pascal], Wang, D.D.[Da-Dong],
Linear Feature Detection on GPUs,
DICTA10(649-656).
IEEE DOI 1012
BibRef

Emami, A.[Ali], Bigdeli, A.[Abbas], Postula, A.[Adam],
High Throughput Variable Size Non-square Gabor Engine with Feature Pooling Based on GPU,
DICTA10(393-399).
IEEE DOI 1012
BibRef

Yang, Y.[Yin], Zhong, Z.[Zichun], Rong, G.D.[Guo-Dong], Guo, X.[Xiaohu], Wang, J.[Jing], Solberg, T., Mao, W.H.[Wei-Hua],
Real-Time GPU-Aided Lung Tumor Tracking,
PSIVT10(495-500).
IEEE DOI 1011
BibRef

Suarez, J.[Jordane], Belhadj, F.[Farès], Boyer, V.[Vincent],
Comics Stylizations of 3D Scenes Using GPU,
ISVC10(III: 524-533).
Springer DOI 1011
BibRef

Mourning, C.[Chad], Nykl, S.[Scott], Xu, H.H.[Hui-Hui], Chelberg, D.[David], Liu, J.D.[Jun-Dong],
GPU Acceleration of Robust Point Matching,
ISVC10(III: 417-426).
Springer DOI 1011
BibRef

Zang, C.[Chuantao], Hashimoto, K.[Koichi],
A New Approach of GPU Accelerated Visual Tracking,
ACIVS10(II: 354-365).
Springer DOI 1012
BibRef

Goossens, B.[Bart], Luong, H.[Hiêp], Aelterman, J.[Jan], Pižurica, A.[Aleksandra], Philips, W.[Wilfried],
A GPU-Accelerated Real-Time NLMeans Algorithm for Denoising Color Video Sequences,
ACIVS10(II: 46-57).
Springer DOI 1012
BibRef

Garcia, V.[Vincent], Debreuve, E.[Eric], Nielsen, F.[Frank], Barlaud, M.[Michel],
K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching,
ICIP10(3757-3760).
IEEE DOI 1009
BibRef

Bayazit, M.[Mark], Couture-Beil, A.[Alex], Mori, G.[Greg],
Real-time Motion-based Gesture Recognition Using the GPU,
MVA09(9-).
PDF File. 0905
BibRef

May, M.[Michael], Turner, M.J.[Martin J.], Morris, T.[Tim],
Analysing False Positives and 3D Structure to Create Intelligent Thresholding and Weighting Functions for SIFT Features,
PSIVT11(I: 190-201).
Springer DOI 1111
BibRef
Earlier:
Scale Invariant Feature Transform: A Graphical Parameter Analysis,
BMVCWS10(xx-yy).
HTML Version. 1009
GPU method for SIFT Computation.
See also Distinctive Image Features from Scale-Invariant Keypoints. BibRef

Kubertschak, T.[Tim], Nestler, R.[Rico], Machleidt, T.[Torsten], Franke, K.H.[Karl-Heinz],
Speeding Up Powerful State-of-the-Art Restoration Methods with Modern Graphics Processors,
ICCVG10(II: 81-88).
Springer DOI 1009
BibRef

Wojciechowski, A.[Adam], Wróblewski, G.[Grzegorz],
GPU Calculated Camera Collisions Detection within a Dynamic Environment,
ICCVG10(II: 357-366).
Springer DOI 1009
BibRef

Sánchez, J.R.[Jairo R.], Álvarez, H.[Hugo], Borro, D.[Diego],
GFT: GPU Fast Triangulation of 3D Points,
ICCVG10(II: 235-242).
Springer DOI 1009

See also Junction assisted 3D pose retrieval of untextured 3D models in monocular images. BibRef

Krzeszowski, T.[Tomasz], Kwolek, B.[Bogdan], Wojciechowski, K.[Konrad],
GPU-Accelerated Tracking of the Motion of 3D Articulated Figure,
ICCVG10(I: 155-162).
Springer DOI 1009
Tracking, People. BibRef

Bauer, S.[Sebastian], Kohler, S.[Sebastian], Doll, K.[Konrad], Brunsmann, U.[Ulrich],
FPGA-GPU architecture for kernel SVM pedestrian detection,
ECVW10(61-68).
IEEE DOI 1006
BibRef

Ichimura, N.[Naoyuki],
GPU computing with orientation maps for extracting local invariant features,
ECVW10(1-8).
IEEE DOI 1006
BibRef

Sharma, O.[Ojaswa], Zhang, Q.[Qin], Anton, F.[Franccois], Bajaj, C.[Chandrajit],
Multi-domain, higher order level set scheme for 3D image segmentation on the GPU,
CVPR10(2211-2216).
IEEE DOI 1006
BibRef

Vineet, V.[Vibhav], Narayanan, P.J.,
Solving Multilabel MRFs Using Incremental alpha-Expansion on the GPUs,
ACCV09(III: 633-643).
Springer DOI 0909
BibRef

Kim, J.S.[Jun-Sik], Hwangbo, M.[Myung], Kanade, T.[Takeo],
Realtime affine-photometric KLT feature tracker on GPU in CUDA framework,
EmbedCV09(886-893).
IEEE DOI 0910
BibRef

Schweitzer, M.[Michael], Wuensche, H.J.[Hans-Joachim],
Efficient keypoint matching for robot vision using GPUs,
EmbedCV09(808-815).
IEEE DOI 0910
BibRef

Kim, J.S.[Jun-Sik], Hwangbo, M.[Myung], Kanade, T.[Takeo],
Parallel algorithms to a parallel hardware: Designing vision algorithms for a GPU,
EmbedCV09(862-869).
IEEE DOI 0910
BibRef

de Ruvo, P., Distante, A., Stella, E., Marino, F.,
A GPU-based vision system for real time detection of fastening elements in railway inspection,
ICIP09(2333-2336).
IEEE DOI 0911
BibRef

Sun, W.[Wen], Lu, Y.[Yan], Wu, F.[Feng], Li, S.P.[Shi-Peng],
Real-time screen image scaling and its GPU acceleration,
ICIP09(3285-3288).
IEEE DOI 0911
BibRef

Zamith, M., Montenegro, A., Passos, E., Clua, E., Conci, A., Leal-Toledo, R., Mourao, P.T.,
Real Time Feature-Based Parallel Morphing in GPU Applied to Texture-Based Animation,
WSSIP09(1-4).
IEEE DOI 0906
BibRef

Crookes, D., Boyle, K., Miller, P., Gillan, C.,
GPU Implementation of the Affine Transform for 3D Image Registration,
IMVIP09(151-155).
IEEE DOI 0909
BibRef

Wakatani, A.,
Effectiveness of a strip-mining approach for VQ image coding using GPGPU implementation,
IVCNZ09(35-38).
IEEE DOI 0911
BibRef

Carr, P.,
GPU Accelerated Multimodal Background Subtraction,
DICTA08(279-286).
IEEE DOI 0812
BibRef

Ohmer, J.F., Redding, N.J.,
GPU-Accelerated KLT Tracking with Monte-Carlo-Based Feature Reselection,
DICTA08(234-241).
IEEE DOI 0812
BibRef

Diao, M.[Mamadou], Kim, J.[Jongman],
Multimedia Mining on Manycore Architectures: The Case for GPUs,
ISVC09(II: 619-630).
Springer DOI 0911
BibRef

Hagan, A.[Aaron], Zhao, Y.[Ye],
Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster,
ISVC09(II: 960-969).
Springer DOI 0911
BibRef

Lopes, N.[Noel], Ribeiro, B.[Bernardete],
A Hybrid Face Recognition Approach Using GPUMLib,
CIARP10(96-103).
Springer DOI 1011
BibRef

Lopes, N.[Noel], Ribeiro, B.[Bernardete],
Fast Pattern Classification of Ventricular Arrhythmias Using Graphics Processing Units,
CIARP09(603-610).
Springer DOI 0911
BibRef

Park, S.I.[Seung In], Ponce, S.P., Huang, J.[Jing], Cao, Y.[Yong], Quek, F.,
Low-cost, high-speed computer vision using NVIDIA's CUDA architecture,
AIPR08(1-7).
IEEE DOI 0810
BibRef

Williams, J.L.[Jorge Luis], Hiromoto, R.E.[Robert E.],
On the Performance and Scalability of a GPU-Limited Commodity Cluster,
ISVC08(II: 1044-1055).
Springer DOI 0812
BibRef

Loten, T.[Tom], Green, R.[Richard],
Embedded computer vision framework on a multimedia processor,
IVCNZ08(1-5).
IEEE DOI 0811
BibRef

Allusse, Y.[Yannick], Horain, P.[Patrick], Agarwal, A.[Ankit], Saipriyadarshan, C.[Cindula],
GpuCV: A GPU-Accelerated Framework for Image Processing and Computer Vision,
ISVC08(II: 430-439).
Springer DOI 0812
BibRef

Goradia, R.[Rhushabh], Ajmera, P.[Prekshu], Chandran, S.[Sharat],
GPU-Based Hierarchical Computations for View Independent Visibility,
ICCVGIP08(560-567).
IEEE DOI 0812
BibRef

Han, B.[Bo], Zhou, B.F.[Bing-Feng],
High Speed Visual Saliency Computation on GPU,
ICIP07(I: 361-364).
IEEE DOI 0709
BibRef

Ready, J.M., Taylor, C.N.,
GPU Acceleration of Real-time Feature Based Algorithms,
Motion07(8-8).
IEEE DOI 0702
BibRef

Grossauer, H.[Harald], Thoman, P.[Peter],
GPU-Based Multigrid: Real-Time Performance in High Resolution Nonlinear Image Processing,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Cassagnabère, C.[Christophe], Rousselle, F.[François], Renaud, C.[Christophe],
CPU-GPU Multithreaded Programming Model: Application to the Path Tracing with Next Event Estimation Algorithm,
ISVC06(II: 265-275).
Springer DOI 0611
BibRef

Min, C.K.[Chang-Ki], Medioni, G.[Gerard],
Tensor Voting Accelerated by Graphics Processing Units (GPU),
ICPR06(III: 1103-1106).
IEEE DOI 0609

See also Inferring Segmented Dense Motion Layers Using 5D Tensor Voting. BibRef

Schiwietz, T.[Thomas], Westermann, R.[Rüdiger],
GPU-PIV,
VMV04(151-158). 0411
BibRef

Fritz, N.[Nicolas], Lucas, P.[Philipp], Slusallek, P.[Philipp],
CGiS, a new Language for Data-parallel GPU Programming,
VMV04(241-248). 0411
BibRef

Hong, J.Y.[Jin Young], Wang, M.D.,
High speed processing of biomedical images using programmable GPU,
ICIP04(IV: 2455-2458).
IEEE DOI 0505
BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Multi-Processor Algorithms, Connection Machine, Hypercube .