7.8.3 Pyramid Representations

Chapter Contents (Back)
Representation, Pyramid. Pyramid Structure. Hierarchical.
See also Scale Space and Multi-Scale Techniques.

Tanimoto, S.L., Pavlidis, T.,
A Hierarchical Data Structure for Picture Processing,
CGIP(4), No. 2, June 1975, pp. 104-119.
Elsevier DOI Quadtree. Pyramids. Hierarchy of fine to coarse resolution versions of a picture.
See also Structured Computer Vision: Machine Perception through Hierarchical Computational Structures. BibRef 7506

Tanimoto, S.L.[Steven L.],
Pictorial Feature Distortion in a Pyramid,
CGIP(5), No. 3, September 1976, pp. 333-352.
Elsevier DOI BibRef 7609

Tanimoto, S.L.,
Regular Hierarchical Image and Processing Structures in Machine Vision,
CVS78(165-174). BibRef 7800
And:
A Formalism for Image Processing in Pyramids,
PRAI-78(181-183). BibRef

Sloan, Jr., K.R., Tanimoto, S.L.,
Progressive Refinement of Raster Images,
TC(28), No. 11, November 1979, pp. 871-874. BibRef 7911

Tanimoto, S.L., Ligocki, T.J., Ling, R.,
A Prototype Pyramid Machine for Hierarchical Cellular Logic,
PCV88(43-83). BibRef 8800

Tanimoto, S.L.,
A Pyramid Model for Binary Picture Complexity,
PRIP77(25-28). BibRef 7700

Rosenfeld, A.,
Quadtrees and Pyramids: Hierarchical Representation of Images,
PDA83(29-42). BibRef 8300

Stout, Q.F.,
Pyramid Algorithms Optimal for the Worst Case,
PCV88(147-168). BibRef 8800

Burt, P.J.[Peter J.],
Tree and Pyramid Structures for Coding Hexagonally Sampled Binary Images,
CGIP(14), No. 3, November 1980, pp. 271-280.
Elsevier DOI
See also Pyramid processor for building large-area, high-resolution image by parts. BibRef 8011

Burt, P.J.[Peter J.],
Fast Hierarchical Correlations with Gaussian-Like Kernels,
ICPR80(828-830). BibRef 8000

Shneier, M.O.[Michael O.],
Two Hierarchical Linear Feature Representations: Edge Pyramids and Edge Quadtrees,
CGIP(17), No. 3, November 1981, pp. 211-224.
Elsevier DOI BibRef 8111
Earlier: DARPA81(89-98). BibRef

Peuquet, D.J.[Donna J.],
A raster-mode algorithm for interactive modification of line drawing data,
CGIP(10), No. 2, June 1979, pp. 142-158.
Elsevier DOI 0501
BibRef

Peuquet, D.J.[Donna J.],
A Hybrid Data Structure for the Storage and Manipulation of Very Large Spatial Data Sets,
CVGIP(24), No. 1, October 1983, pp. 14-27.
Elsevier DOI BibRef 8310

Burton, F.W.[F. Warren], Kollias, J.G.[John G.], Alexandridis, N.A.[Nikitas A.],
An Implementation of the Exponential Pyramid Data Structure with Application to Determination of Symmetries in Pictures,
CVGIP(25), No. 2, February 1984, pp. 218-225.
Elsevier DOI BibRef 8402

Uhr, L.,
Pyramid Multi-Computer Structures, and Augmented Pyramids,
CSIP83(95-112). BibRef 8300

Li, Z.N., Uhr, L.,
Pyramid Vision Using Key Features to Integrate Image-Driven Bottom-Up and Model-Driven Top-Down Processes,
SMC(17), 1987, pp. 250-263. BibRef 8700

Uhr, L.,
Highly Parallel, Hierarchical, Recognition Cone Perceptual Structures,
PCV88(249-292). BibRef 8800

Wu, A.Y., Rosenfeld, A.,
Top-Down Cellular Pyramids,
PRL(2), No. 1, 1983, pp. 47-52. BibRef 8300

Naor, J., Peleg, S.,
Hierarchical Image Representation for compression, Filtering and Normalization,
PRL(2), No. 1, 1983, pp. 43-46. BibRef 8300

Peleg, S., Federbusch, O., Hummel, R.,
Custom-Made Pyramids,
PCV88(125-146). BibRef 8800

Miller, R., Stout, Q.F.,
Simulating Essential Pyramids,
TC(37), 1988, pp. 1643-1648. BibRef 8800
Earlier: CVPR88(912-917).
IEEE DOI BibRef
Earlier:
The Pyramid Computer for Image Processing,
ICPR84(240-242). BibRef

Schiller, M.[Michael],
Image compression technique,
US_Patent4,723,298, Feb 2, 1988
WWW Link. Simple pyramid. BibRef 8802

Combridge, B.L.[Brian L.], Robson, D.[David], Timson, D.R.E.[Daniel R.E.],
Method of processing video image data for use in the storage or transmission of moving digital images,
US_Patent5,067,015, Nov 19, 1991
WWW Link. Pyramid BibRef 9111

Jolion, J.M.[Jean-Michel], Rosenfeld, A.[Azriel],
A Pyramid Framework for Early Vision: Multiresolution Computer Vision,
Hingham: KluwerAcademic, 1994, 232 pp. ISBN 0-7923-9402-X.
WWW Link. Representation, Pyramid. Early Vision. A BibRef 9400 Bookon mulitscale approaches to vision. Sections include: Hierarchical frameworks for early vision, Pyramaid based visual modules, and Integration and extensions. BibRef

Jolion, J.M.[Jean-Michel],
Stochastic pyramid revisited,
PRL(24), No. 8, May 2003, pp. 1035-1042.
Elsevier DOI 0304
BibRef

Burt, P.J., Adelson, E.H.,
The Laplacian Pyramid as a Compact Image Code,
Commun(31), No. 4, April 1983, pp. 532-540.
IEEE DOI BibRef 8304
And: Reprinted: RCV87(671-679). Pyramid, Laplacian. Pyramid Structure. The standard Laplacian Pyramid paper. Different filters than used by Crowley, but the same general idea.
See also Pyramid processor for building large-area, high-resolution image by parts. BibRef

Burt, P.J.[Peter J.],
Fast and efficient search method for graphical data,
US_Patent5,159,647, Oct 27, 1992
WWW Link. BibRef 9210

Burt, P.J.[Peter J.],
Dynamic method for recognizing objects and image processing system therefor,
US_Patent5,063,603, Nov 5, 1991
WWW Link. BibRef 9111

Adelson, E.H., Burt, P.J.,
Image Data compression with the Laplacian Pyramid,
PRIP81(218-223). BibRef 8100

Burt, P.J.,
Smart Sensing with a Pyramid Vision Machine,
PIEEE(76), No. 8, August 1988, pp. 1006-1015. BibRef 8808
And:
'Smart Sensing' in Machine Vision,
MVAAS88(XX-YY). Representation, Pyramid. Different resolutions for different tasks, control resolution, etc. BibRef

Burt, P.J.,
A Pyramid Framework for Real-Time Computer Vision,
FIU01(Chapter 12). BibRef 0100

Meer, P., Baugher, E.S., Rosenfeld, A.,
Frequency Domain Analysis and Synthesis of Image Pyramid Generating Kernels,
PAMI(9), No. 4, July 1987, pp. 512-522. BibRef 8707

Meer, P.[Peter], Jiang, S.N.[Song-Nian], Baugher, E.S.[Ernest S.], Rosenfeld, A.[Azriel],
Robustness of Image Pyramids Under Structural Perturbations,
CVGIP(44), No. 3, December 1988, pp. 307-331.
Elsevier DOI BibRef 8812

Meer, P.[Peter],
Stochastic Image Pyramids,
CVGIP(45), No. 3, March 1989, pp. 269-294.
Elsevier DOI Applications of these appear under edges and elsewhere. BibRef 8903

Montanvert, A.[Annick], Meer, P.[Peter], Rosenfeld, A.,
Hierarchical Image Analysis Using Irregular Tessellations,
PAMI(13), No. 4, April 1991, pp. 307-316.
IEEE DOI BibRef 9104
Earlier: ECCV90(28-32).
Springer DOI BibRef
And:
Irregular Tessellation Based Image Analysis,
ICPR90(I: 474-479).
IEEE DOI A pyramid construction process that maintains some structrural information. Used for connected component labeling and region segmentation. BibRef

Montanvert, A.[Annick], Meer, P.[Peter], Bertolino, P.[Pascal],
Hierarchical Shape Analysis in Grey-level Images,
MDSG94(511-524). BibRef 9400

Meer, P.[Peter], Jolion, J.M.[Jean-Michel], Rosenfeld, A.[Azriel],
A Fast Parallel Algorithm for Blind Estimation of Noise Variance,
PAMI(12), No. 2, February 1990, pp. 216-223.
IEEE DOI BibRef 9002

Jolion, J.M.[Jean-Michel], Montanvert, A.[Annick],
The Adaptive Pyramid: A framework for 2D Image Analysis,
CVGIP(55), No. 3, May 1992, pp. 339-348.
Elsevier DOI Adaptive Pyramid. BibRef 9205

Jolion, J.M.[Jean-Michel],
A Hierarchical Framework for Robust Extraction and Delineation of Geometric Features,
PR(26), No. 9, September 1993, pp. 1295-1304.
Elsevier DOI BibRef 9309

Chiarello, E.[Ernest], Jolion, J.M.[Jean-Michel], and Amoros, C.[Claude],
Modelisation of Spatial Organization of Vegetations in Floodplains,
Acta Stereologica(12), No. 2, 1993, pp. 255-261. Adaptive Pyramid. BibRef 9300

Jolion, J.M.[Jean-Michel],
Contrast Enhancement through Multiresolution Decomposition,
IP-TA93(205-208). BibRef 9300

Bataouche, S.[Samira], Jolion, J.M.[Jean-Michel],
Asynchronous Pyramids,
IP-TA93(267-270). BibRef 9300

Jolion, J.M.,
Multiresolution Based Contrast Analysis of Images,
Traitement du Signal(11), No. 3, 1994, pp. 245-255. BibRef 9400

Jolion, J.M.,
Analyse d'Images: Le Modele Pyramidal,
Traitement du Signal(7), No. 1, 1990, pp. 5-17. BibRef 9000

Anderson, C.H.,
A Filter-Subtract-Decimate Hierarchical Pyramid Signal Analyzing and Synthesizing Technique,
US_Patent4,718,104, 1987.
WWW Link. Referenced with
See also Laplacian Pyramid as a Compact Image Code, The. as a Gaussian/Laplacian pyramid. BibRef 8700

Ichikawa, T.,
A Pyramidal Representation of Images and Its Feature Extraction Facility,
PAMI(3), No. 3, May 1981, pp. 257-264. BibRef 8105
Earlier:
A Pyramidal Representation of Images,
ICPR78(603-606). BibRef

Sloan, Jr., K.R.,
Dynamically Quantized Pyramids,
IJCAI81(734-736). Rather than regular decomposition, do it according to what is needed. BibRef 8100

Schaefer, D.H., Ho, P., Boyd, J., Vallejos, C.,
The Gam Pyramid,
PCV88(15-42). BibRef 8800

Chin, F.[Francis], Choi, A.[Andrew], Luo, Y.H.[Yu-Hua],
Optimal Generating Kernels for Image Pyramids by Piecewise Fitting,
PAMI(14), No. 12, December 1992, pp. 1190-1198.
IEEE DOI Different ways to fit to the generating kernel for generating pyramids. BibRef 9212

Narayanan, P.J., Davis, L.S.[Larry S.],
Replicated Data Algorithms in Image Processing,
CVGIP(56), No. 3, November 1992, pp. 351-365.
Elsevier DOI
See also Replicated Image Algorithms and Their Analyses on SIMD Machines. BibRef 9211

Montiel, M.E., Aguado, A.S., Garza-Jinich, M.A., Alarcon, J.,
Image Manipulation Using M-Filters in a Pyramidal Computer-Model,
PAMI(17), No. 11, November 1995, pp. 1110-1115.
IEEE DOI BibRef 9511

Kropatsch, W.G.[Walter G.],
Building Irregular Pyramids by Dual-Graph Contraction,
VISP(142), No. 6, December 1995, pp. 366-374. BibRef 9512

Kropatsch, W.G.[Walter G.], Haxhimusa, Y.[Yll], Pizlo, Z.[Zygmunt], Langs, G.[Georg],
Vision pyramids that do not grow too high,
PRL(26), No. 3, February 2005, pp. 319-337.
Elsevier DOI 0501
BibRef
Earlier: A1, A2, A3, Only:
Integral Trees: Subtree Depth and Diameter,
IWCIA04(77-87).
Springer DOI 0505
BibRef
Earlier: A2, A1, Only:
Hierarchy of Partitions with Dual Graph Contraction,
DAGM03(338-345).
Springer DOI 0310
BibRef

Brun, L.[Luc], Kropatsch, W.G.[Walter G.],
Contains and inside relationships within combinatorial pyramids,
PR(39), No. 4, April 2006, pp. 515-526.
Elsevier DOI 0604
Irregular Pyramids; Combinatorial pyramids; Segmentation; Contains and inside Compare different graph models w.r.t. relationships.
See also Receptive fields within the Combinatorial Pyramid framework. BibRef

Kropatsch, W.G.[Walter G.], Reither, C.[Christian], Willersinn, D.[Dieter], Wlaschitz, G.[Günther],
The dual irregular pyramid,
CAIP93(31-40).
Springer DOI 9309
BibRef

Bischof, H., Kropatsch, W.G.,
Fuzzy curve pyramid,
ICPR94(A:505-509).
IEEE DOI 9410
BibRef

Kropatsch, W.G., Willersinn, D.,
Parallel Line Grouping in Irregular Curve Pyramids,
CVPR93(784-785).
IEEE DOI Finding and describing ribbons. BibRef 9300

Yamaguchi, T., Kropatsch, W.G.,
Distortion-tolerance curve of the neocognitron with various structures, including pyramid,
ICPR90(I: 918-922).
IEEE DOI 9006
BibRef

Kropatsch, W.G.,
A Pyramid That Grows by Powers of 2,
PRL(3), 1985, pp. 315-322. BibRef 8500

Ip, H.H.S.[Horace H.S.], Lam, S.W.C.[Stephen W.C.],
Alternative Strategies for Irregular Pyramid Construction,
IVC(14), No. 4, May 1996, pp. 297-303.
Elsevier DOI 9607
BibRef

Mathieu, C.E., Magnin, I.E.,
On the Choice of the First Level on Graph Pyramids,
JMIV(6), No. 1, January 1996, pp. 85-96. 9608
BibRef

Meer, P.,
Simulation of Constant Size Multiresolution Representations on Image Pyramids,
PRL(8), 1988, pp. 229-236. BibRef 8800

Rosenfeld, A.,
A Note on Shrinking and Expanding Operations in Pyramids,
PRL(6), 1987, pp. 241-244. BibRef 8700

Rosenfeld, A.,
Quadtrees and Pyramids for Pattern Recognition and Image Processing,
ICPR80(802-811). BibRef 8000

Brigger, P., Müller, F., Illgner, K., Unser, M.,
Centered Pyramids,
IP(8), No. 9, September 1999, pp. 1254-1264.
IEEE DOI Quattree-like pyramids. BibRef 9909

Müller, F., Brigger, P., Illgner, K., Unser, M.,
Multiresolution approximation using shifted splines,
TSP(46), No. 9, September 1998, pp. 2555-2558.
IEEE DOI BibRef 9809

Damiand, G.[Guillaume], Dexet-Guiard, M.[Martine], Lienhardt, P.[Pascal], Andres, E.[Eric],
Removal and contraction operations to define combinatorial pyramids: Application to the design of a spatial modeler,
IVC(23), No. 2, 1 February 2004, pp. 259-269.
Elsevier DOI 0412

See also nD generalized map pyramids: Definition, representations and basic operations. BibRef

Rath, G., Yang, W., Guillemot, C.[Christine],
Compression of Laplacian Pyramids Through Orthogonal Transforms and Improved Prediction,
IP(17), No. 9, September 2008, pp. 1587-1604.
IEEE DOI 0810
BibRef
Earlier: A1, A3, Only:
An SVD Based Transform for Critical Representation of Laplacian Pyramids,
ICIP06(1689-1692).
IEEE DOI 0610
BibRef

Peltier, S.[Samuel], Ion, A.[Adrian], Kropatsch, W.G.[Walter G.], Damiand, G.[Guillaume], Haxhimusa, Y.[Yll],
Directly computing the generators of image homology using graph pyramids,
IVC(27), No. 7, 4 June 2009, pp. 846-853.
Elsevier DOI 0904
BibRef
Earlier: A1, A2, A5, A3, A4:
Computing Homology Group Generators of Images Using Irregular Graph Pyramids,
GbRPR07(283-294).
Springer DOI 0706
Homology generators; Irregular graph pyramids
See also Invariant Representative Cocycles of Cohomology Generators Using Irregular Graph Pyramids. BibRef

Haxhimusa, Y.[Yll], Kropatsch, W.G.[Walter G.], Pizlo, Z.[Zygmunt], Ion, A.[Adrian],
Approximative graph pyramid solution of the E-TSP,
IVC(27), No. 7, 4 June 2009, pp. 887-896.
Elsevier DOI 0904
Hierarchical representation; Graph pyramids; Human problem solving; Traveling salesman problem; Boruvka's minimum spanning tree BibRef

Iglesias, M.[Mabel], Ion, A.[Adrian], Kropatsch, W.G.[Walter G.], García, E.B.[Edel B.],
Delineating Homology Generators in Graph Pyramids,
CIARP08(576-58).
Springer DOI 0809
BibRef

Goffe, R.[Romain], Brun, L.[Luc], Damiand, G.[Guillaume],
Tiled Top-Down Combinatorial Pyramids For Large Images Representation,
IJIST(21), No. 1, 2011, pp. 28-36.
DOI Link irregular pyramid, topological model, tiled data structure, combinatorial map BibRef 1100

Goffe, R.[Romain], Brun, L.[Luc], Damiand, G.[Guillaume],
Tiled Top-Down Pyramids and Segmentation of Large Histological Images,
GbRPR11(255-264).
Springer DOI 1105
BibRef

Sánchez, J.[Jorge], Perronnin, F.[Florent], de Campos, T.[Teósfilo],
Modeling the spatial layout of images beyond spatial pyramids,
PRL(33), No. 16, 1 December 2012, pp. 2216-2223.
Elsevier DOI 1210
Image representation; Spatial layout; Image categorization; Fisher vectors; PASCAL VOC datasets; Spatial pyramids BibRef

Ghita, O.[Ovidiu], Ilea, D.E.[Dana E.], Whelan, P.F.[Paul F.],
Texture Enhanced Histogram Equalization Using TV-L^1 Image Decomposition,
IP(22), No. 8, 2013, pp. 3133-3144.
IEEE DOI 1307
BibRef
Earlier: A1, A3, A2:
Multi-resolution Texture Classification Based on Local Image Orientation,
ICIAR08(xx-yy).
Springer DOI 0806
image enhancement; variational techniques; Contrast enhancement; entropy maximization; histogram warping
See also CTex: An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence. BibRef

Kristo, Chua, C.S.[Chin Seng],
Cost effective window arrangement for spatial pyramid matching,
JVCIR(29), No. 1, 2015, pp. 79-88.
Elsevier DOI 1504
BibRef
Earlier:
Image representation for object recognition: Utilizing overlapping windows in Spatial Pyramid Matching,
ICIP13(3354-3357)
IEEE DOI 1402
Image representation BibRef

Hu, Z.W.[Zhong-Wen], Li, Q.Q.[Qing-Quan], Zou, Q.[Qin], Zhang, Q.[Qian], Wu, G.F.[Guo-Feng],
A Bilevel Scale-Sets Model for Hierarchical Representation of Large Remote Sensing Images,
GeoRS(54), No. 12, December 2016, pp. 7366-7377.
IEEE DOI 1612
geophysical image processing BibRef

Passat, N.[Nicolas], Naegel, B.[Benoît], Kurtz, C.[Camille],
Component-Graph Construction,
JMIV(61), No. 6, July 2019, pp. 798-823.
Springer DOI 1907
BibRef

Havel, J.[Jirí], Merciol, F.[François], Lefèvre, S.[Sébastien],
Efficient tree construction for multiscale image representation and processing,
RealTimeIP(16), No. 4, August 2019, pp. 1129-1146.
Springer DOI 1908
To cope with large data volumes. Tree structure, hierarchical structure. BibRef

Lu, Z.Z.[Zheng-Zhi], Yang, G.[Guoan], Yang, J.J.[Jun-Jie], Wang, Y.H.[Yu-Hao],
An Adaptive Arbitrary Multiresolution Decomposition for Multiscale Geometric Analysis,
MultMed(23), 2021, pp. 2883-2893.
IEEE DOI 2109
Transforms, Image resolution, Image denoising, Image reconstruction, Noise reduction, pseudopolar Fourier transformation BibRef

Xiao, J.R.[Jun-Rui], Jiang, H.[He], Li, Z.K.[Zhi-Kai], Gu, Q.Y.[Qing-Yi],
DCIFPN: Deformable cross-scale interaction feature pyramid network for object detection,
IET-IPR(17), No. 9, 2023, pp. 2596-2610.
DOI Link 2307
feature extraction, object detection BibRef

Ye, Z.Y.[Zhi-Yang], Lan, C.D.[Cheng-Dong], Zou, M.[Min], Qiu, X.[Xu], Chen, J.[Jian],
CCA-FPN: Channel and content adaptive object detection,
JVCIR(95), 2023, pp. 103903.
Elsevier DOI 2309
Feature pyramid network, Object detection, Channel and content adaptive, Feature enhancement module BibRef

Ryu, J.[Jiwoo], Trager, S.C.[Scott C.], Wilkinson, M.H.F.[Michael H. F.],
A Fast Alpha-Tree Algorithm for Extreme Dynamic Range Pixel Dissimilarities,
PAMI(46), No. 5, May 2024, pp. 3199-3212.
IEEE DOI 2404
Image edge detection, Image color analysis, Heuristic algorithms, Extraterrestrial measurements, Dynamic range, Costs, multi-spectral image BibRef


Izquierdo-Cordova, R.[Ramon], Mayol-Cuevas, W.[Walterio],
The Myth of the Pyramid,
LXCV24(311-321)
IEEE DOI 2410
Filters, Accuracy, Image resolution, Computational modeling, convolutional networks, deep learning architectures BibRef

Esteban, B.[Baptiste], Tochon, G.[Guillaume], Carlinet, E.[Edwin], Verna, D.[Didier],
Structural Analysis of the Additive Noise Impact on the alpha-Tree,
CAIP23(II:223-232).
Springer DOI 2312
BibRef

Vávra, V.[Václav], Mishkin, D.[Dmytro], Matas, J.[Jirí],
DoG Accuracy Via Equivariance: Get The Interpolation Right,
ICIP23(136-140)
IEEE DOI 2312
Influence of image interpolation on detectors in the pyramid. BibRef

Kirillov, A.[Alexander], Girshick, R.[Ross], He, K.M.[Kai-Ming], Dollar, P.[Piotr],
Panoptic Feature Pyramid Networks,
CVPR19(6392-6401).
IEEE DOI 2002
BibRef

Lorkowski, P., Brinkhoff, T.,
Compression And Progressive Retrieval Of Multi-dimensional Sensor Data,
ISPRS16(B2: 27-33).
DOI Link 1610
BibRef

Yagyu, S., Sakiyama, A., Tanaka, Y.,
Pyramidal image representation with deformation: Reformulation of domain transform and filter designs,
ICIP16(3608-3612)
IEEE DOI 1610
Image decomposition BibRef

Zheng, Z., Wang, W., Wang, R.,
Weighted transformable spatial pyramid and scalable query for object retrieval,
VCIP15(1-4)
IEEE DOI 1605
Feature extraction BibRef

Popovic, V.[Vladan], Leblebici, Y.[Yusuf],
A low-power 490 mpixels/s hardware accelerator for pyramidal decomposition of images,
ICIP15(4411-4415)
IEEE DOI 1512
BibRef

Hu, K.[Kaimo], Fang, Y.[Yi],
3D Laplacian Pyramid Signature,
FSLCV14(III: 306-321).
Springer DOI 1504
Extend Laplacian pyramid to 3D. BibRef

Qi, N., Shi, Y.H.[Yun-Hui], Sun, X.Y.[Xiao-Yan], Ding, W.P.[Wen-Peng], Yin, B.C.[Bao-Cai],
2D nonlocal sparse representation for image denoising,
VCIP15(1-4)
IEEE DOI 1605
Clustering algorithms BibRef

Qi, N., Shi, Y.H.[Yun-Hui], Sun, X.Y.[Xiao-Yan], Ding, W.P.[Wen-Peng], Yin, B.C.[Bao-Cai],
Single image super-resolution via 2D nonlocal sparse representation,
VCIP15(1-4)
IEEE DOI 1605
Clustering algorithms BibRef

Yang, P.[Ping], Shi, Y.H.[Yun-Hui], Ding, W.P.[Wen-Peng], Sun, X.Y.[Xiao-Yan], Yin, B.C.[Bao-Cai],
Learning adaptive filter banks for hierarchical image representation,
VCIP14(366-369)
IEEE DOI 1504
adaptive filters BibRef

Kounalakis, T.[Tsampikos], Boulgouris, N.V.[Nikolaos V.], Triantafyllidis, G.A.[Georgios A.],
Content-adaptive pyramid representation for 3D object classification,
ICIP16(231-235)
IEEE DOI 1610
BibRef
Earlier: A1, A2, Only:
Classification of 2D and 3D images using pyramid scale decision voting,
ICIP14(957-960)
IEEE DOI 1502
Feature extraction. Databases. Classification on pyramid images. BibRef

Fanello, S.R.[Sean Ryan], Noceti, N.[Nicoletta], Ciliberto, C.[Carlo], Metta, G.[Giorgio], Odone, F.[Francesca],
Ask the Image: Supervised Pooling to Preserve Feature Locality,
CVPR14(851-858)
IEEE DOI 1409
Human Robot Interaction Spatial Pyramid Representation and Feature Space Representation. BibRef

Jansen, M.[Maarten],
Nonseparable Laplacian pyramids with multiscale local polynomials for scattered data,
WSSIP14(115-118) 1406
Filtering algorithms BibRef

Bosilj, P.[Petra], Lefèvre, S.[Sébastien], Kijak, E.[Ewa],
Hierarchical Image Representation Simplification Driven by Region Complexity,
CIAP13(I:562-571).
Springer DOI 1311
BibRef

Al-Dujaili, A.[Abdullah], Merciol, F.[François], Lefèvre, S.[Sébastien],
GraphBPT: An Efficient Hierarchical Data Structure for Image Representation and Probabilistic Inference,
ISMM15(301-312).
Springer DOI 1506
BibRef

Havel, J.[Jirí], Merciol, F.[François], Lefèvre, S.[Sébastien],
Efficient Schemes for Computing alpha-tree Representations,
ISMM13(111-122).
Springer DOI 1305
BibRef

Chen, J., Paris, S., Durand, F.,
Real-time edge-aware image processing with the bilateral grid,
TOG(26), No. 3, 2007, pp. xx-yy. SigGraph issue. BibRef 0700

Paris, S.[Sylvain], Hasinoff, S.W.[Samuel W.], Kautz, J.[Jan],
Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid,
CACM(58), No. 3, March 2015, pp. 81-91.
DOI Link 1503
BibRef

Bae, S., Paris, S., Durand, F.,
Two-scale tone management for photographic look,
TOG(25), No. 3, 2006, pp. 637-645. SigGraph issue. BibRef 0600

Durand, F., Dorsey, J.,
Fast bilateral filtering for the display of high-dynamic-range images,
TOG(21), No. 3, 2002, pp. xx-yy. SigGraph issue. BibRef 0200

Paris, S.[Sylvain], Hasinoff, S.W.[Samuel W.], Kautz, J.[Jan], Aubry, M.[Mathieu], Durand, F.[Frédo],
Fast and Robust Pyramid-based Image Processing,
CSAIL(TR-2011-049). 2011-11-15.
WWW Link. 1202
BibRef

Li, Z.[Zhen], Zhou, X.[Xi], Huang, T.S.[Thomas S.],
Hierarchical density estimation for image classification,
ICIP10(2297-2300).
IEEE DOI 1009
BibRef

Zhou, X.[Xi], Cui, N.[Na], Li, Z.[Zhen], Liang, F.[Feng], Huang, T.S.[Thomas S.],
Hierarchical Gaussianization for image classification,
ICCV09(1971-1977).
IEEE DOI 0909
Capture appearance and spatial info. BibRef

Meler, A.[Antoine], Ruiz-Hernandez, J.A.[John A.], Crowley, J.L.[James L.],
Probabilistic model of error in fixed-point arithmetic Gaussian pyramid,
EmbedCV09(816-820).
IEEE DOI 0910

See also Face recognition using tensors of census transform histograms from Gaussian features maps. BibRef

Delgado-Gonzalo, R.[Ricard], Tafti, P.D.[Pouya Dehghani], Unser, M.[Michael],
Fractional Laplacian pyramids,
ICIP09(3809-3812).
IEEE DOI 0911
BibRef

Yu, S.X.[Stella X.],
Edge-Preserving Laplacian Pyramid,
ISVC09(I: 307-316).
Springer DOI 0911
BibRef

Elias, R.[Rimon], Al Ashraf, M.[Mohab], Aly, O.[Omar],
From Random to Hierarchical Data through an Irregular Pyramidal Structure,
GbRPR09(324-333).
Springer DOI 0905
BibRef

Gluckman, J.M.[Joshua M.],
Higher Order Image Pyramids,
ECCV06(II: 308-320).
Springer DOI 0608
BibRef
And:
Scale Variant Image Pyramids,
CVPR06(I: 1069-1075).
IEEE DOI 0606
BibRef

Nema, M.K.[Malay Kumar], Rakshit, S.[Subrata], Chaudhuri, S.[Subhasis],
Edge Model Based High Resolution Image Generation,
ICCVGIP06(1-12).
Springer DOI 0612
BibRef

Nema, M.K.[Malay K.], Rakshit, S.[Subrata],
Edge-Model Based Representation of Laplacian Subbands,
ACCV06(I:80-89).
Springer DOI 0601
BibRef

Eggert, J.[Julian], Willert, V.[Volker], Körner, E.[Edgar],
Building a Motion Resolution Pyramid by Combining Velocity Distributions,
DAGM04(310-317).
Springer DOI 0505
BibRef

Winkler, S.[Stefan], Vandergheynst, P.[Pierre],
Computing isotropic local contrast from oriented pyramid decompositions,
ICIP99(IV:420-424).
IEEE DOI BibRef 9900

Horn, U., Wiegand, T., Girod, B.,
Bit Allocation Methods for Closed-Loop Coding of Oversampled Pyramid Decompositions,
ICIP97(II: 17-20).
IEEE DOI BibRef 9700

Yu, T.H.[Tian-Hu],
Novel contrast pyramid coding of images,
ICIP95(III: 592-595).
IEEE DOI 9510
BibRef

Zhu, Q.,
Structural Pyramids for Representing and Locating Moving Obstacles in Visual Guidance of Navigation,
CVPR88(832-837).
IEEE DOI BibRef 8800

Lucas, D., Gibson, L.,
Image Pyramids and Partitions,
ICPR84(230-233). BibRef 8400

Rosenfeld, A.,
Some Uses of Pyramids in Image Processing and Segmentation,
DARPA80(112-120). BibRef 8000

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Review, Comparison, Evaluation of Texture Analysis Techniques .


Last update:Nov 26, 2024 at 16:40:19