7.1.8.5 Scale Invariant Features, SIFT, SURF

Chapter Contents (Back)
Interest Points. Salient Points. Feature Points. SIFT. SURF. See also Interest Operators, Interest Points, Feature Points, Salient Points. Of course you want to see: See also Distinctive Image Features from Scale-Invariant Keypoints.

Fayolle, J.[Jacques], Riou, L.[Laurence], Ducottet, C.[Christophe],
Robustness of a multiscale scheme of feature points detection,
PR(33), No. 9, September 2000, pp. 1437-1453.
Elsevier DOI 0005
BibRef

Fayolle, J., Ducottet, C., Riou, L., Coudert, S.,
A Wavelet Based Multiscale Detection Scheme of Feature Points,
ICPR00(Vol III: 421-424).
IEEE DOI 0009
BibRef

Mikolajczyk, K.[Krystian], Schmid, C.[Cordelia],
Scale and Affine Invariant Interest Point Detectors,
IJCV(60), No. 1, October 2004, pp. 63-86.
DOI Link 0405
BibRef
Earlier:
An Affine Invariant Interest Point Detector,
ECCV02(I: 128 ff.).
Springer DOI 0205
See also Comparison of Affine Region Detectors, A. BibRef

Mikolajczyk, K.[Krystian],
Detection of local features invariant to affine transformations,
Ph.D.Thesis, Institut National Polytechnique de Grenoble, France, 2002. BibRef 0200

Mikolajczyk, K.[Krystian], Schmid, C.[Cordelia],
Indexing Based on Scale Invariant Interest Points,
ICCV01(I: 525-531).
IEEE DOI 0106
Interest point computation. BibRef

Mikolajczyk, K., Zisserman, A., Schmid, C.,
Shape recognition with edge-based features,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Koniusz, P.[Piotr], Mikolajczyk, K.[Krystian],
Soft assignment of visual words as Linear Coordinate Coding and optimisation of its reconstruction error,
ICIP11(2413-2416).
IEEE DOI 1201
BibRef
And:
Spatial Coordinate Coding to reduce histogram representations, Dominant Angle and Colour Pyramid Match,
ICIP11(661-664).
IEEE DOI 1201
BibRef
Earlier:
On a Quest for Image Descriptors Based on Unsupervised Segmentation Maps,
ICPR10(762-765).
IEEE DOI 1008
BibRef
Earlier:
Segmentation Based Interest Points and Evaluation of Unsupervised Image Segmentation Methods,
BMVC09(xx-yy).
PDF File. 0909
BibRef

Bay, H.[Herbert], Ess, A.[Andreas], Tuytelaars, T.[Tinne], Van Gool, L.J.[Luc J.],
Speeded-Up Robust Features (SURF),
CVIU(110), No. 3, June 2008, pp. 346-359.
Elsevier DOI 0711
Award, CVIU, Most Cited. (2008-2010) BibRef
Earlier: A1, A3, A4, Only:
SURF: Speeded Up Robust Features,
ECCV06(I: 404-417).
Springer DOI 0608
Interest points; Local features; Feature description; Camera calibration; Object recognition. Use essential parts of features to simplify for speed. See also Comparison of Affine Region Detectors, A. BibRef

Tuytelaars, T.[Tinne],
Dense interest points,
CVPR10(2281-2288).
IEEE DOI 1006
BibRef

Willems, G.[Geert], Tuytelaars, T.[Tinne], Van Gool, L.J.[Luc J.],
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector,
ECCV08(II: 650-663).
Springer DOI 0810
BibRef

Carneiro, G.[Gustavo], Jepson, A.D.[Allan D.],
Flexible Spatial Configuration of Local Image Features,
PAMI(29), No. 12, December 2007, pp. 2089-2104.
IEEE DOI 0711
BibRef
Earlier:
The Distinctiveness, Detectability, and Robustness of Local Image Features,
CVPR05(II: 296-301).
IEEE DOI 0507
BibRef
Earlier:
Flexible spatial models for grouping local image features,
CVPR04(II: 747-754).
IEEE DOI 0408
BibRef
Earlier:
Phase-Based Local Features,
ECCV02(I: 282 ff.).
Springer DOI 0205
Local features are intended to be reliable under various transformations, but this is not always the case. Introduce two geometric filters, based on semilocal spatial configuration of local features robust to rigid and non-rigid transformations. BibRef

Carneiro, G., Jepson, A.D.,
Pruning local feature correspondences using shape context,
ICPR04(III: 16-19).
IEEE DOI 0409
BibRef
Earlier:
Multi-scale phase-based local features,
CVPR03(I: 736-743).
IEEE DOI 0307
Where: interest point location; What: feature detection. Quantitative evaluation of both the where and the what for a) phase-based local features (Carneiro and Jepson, 2002), See also Flexible Spatial Configuration of Local Image Features. b) differential invariants (Schmid and Mohr, 1997), See also Local Grayvalue Invariants for Image Retrieval. c) the scale invariant feature transform (SIFT) (Lowe, 1999). See also Distinctive Image Features from Scale-Invariant Keypoints. The first comes out best. BibRef

Carneiro, G.[Gustavo],
The automatic design of feature spaces for local image descriptors using an ensemble of non-linear feature extractors,
CVPR10(3509-3516).
IEEE DOI Video of talk:
WWW Link. 1006
BibRef

Carneiro, G.[Gustavo], Lowe, D.G.[David G.],
Sparse Flexible Models of Local Features,
ECCV06(III: 29-43).
Springer DOI 0608
BibRef

Carneiro, G.[Gustavo], Jepson, A.D.[Allan D.],
The quantitative characterization of the distinctiveness and robustness of local image descriptors,
IVC(27), No. 8, 2 July 2009, pp. 1143-1156.
Elsevier DOI 0906
Visual object recognition; Local image descriptors; Discriminant classifier; Regression models BibRef

Mukherjee, A., Velez-Reyes, M., Roysam, B.,
Interest Points for Hyperspectral Image Data,
GeoRS(47), No. 3, March 2009, pp. 748-760.
IEEE DOI 0903
BibRef

Dorado-Munoz, L.P., Velez-Reyes, M., Mukherjee, A., Roysam, B.,
A Vector SIFT Detector for Interest Point Detection in Hyperspectral Imagery,
GeoRS(50), No. 11, November 2012, pp. 4521-4533.
IEEE DOI 1210
BibRef

Li, C.L.[Can-Lin], Ma, L.Z.[Li-Zhuang],
A new framework for feature descriptor based on SIFT,
PRL(30), No. 5, 1 April 2009, pp. 544-557.
Elsevier DOI 0903
Feature descriptor; SIFT; Distinctiveness; Invariance; Elliptical neighboring region; Log-polar histogram BibRef

Cheung, W., Hamarneh, G.[Ghassan],
n-SIFT: n-Dimensional Scale Invariant Feature Transform,
IP(18), No. 9, September 2009, pp. 2012-2021.
IEEE DOI 0909
BibRef

Kawewong, A.[Aram], Tangruamsub, S.[Sirinart], Hasegawa, O.[Osamu],
Position-Invariant Robust Features for Long-Term Recognition of Dynamic Outdoor Scenes,
IEICE(E93-D), No. 9, September 2010, pp. 2587-2601.
WWW Link. 1003
BibRef
Earlier:
Wide-Baseline Visible Features for Highly Dynamic Scene Recognition,
CAIP09(723-731).
Springer DOI 0909
Find features (SIFT, SURF) that are widely visible. BibRef

Ail, D.N.[Dan-Ni], Han, X.H.[Xian-Hua], Ruan, X.[Xiang], Chen, Y.W.[Yen-Wei],
Color Independent Components Based SIFT Descriptors for Object/Scene Classification,
IEICE(E93-D), No. 9, September 2010, pp. 2577-2586.
WWW Link. 1003
BibRef
And:
Adaptive Color Independent Components Based SIFT Descriptors for Image Classification,
ICPR10(2436-2439).
IEEE DOI 1008
BibRef

Ai, D.N.[Dan-Ni], Han, X.H.[Xian-Hua], Duan, G.F.[Gui-Fang], Ruan, X.[Xiang], Chen, Y.W.[Yen-Wei],
Global Selection vs Local Ordering of Color SIFT Independent Components for Object/Scene Classification,
IEICE(E94-D), No. 9, September 2011, pp. 1800-1808.
WWW Link. 1110
BibRef

Gao, J.[Jian], Huang, X.H.[Xin-Han], Liu, B.[Bo],
A quick scale-invariant interest point detecting approach,
MVA(21), No. 3, April 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Cui, C.H.[Chun-Hui], Ngan, K.N.[King Ngi],
Scale- and Affine-Invariant Fan Feature,
IP(20), No. 6, June 2011, pp. 1627-1640.
IEEE DOI 1106
Dealing with surface boundaries. BibRef

Cui, C.H.[Chun-Hui], Ngan, K.N.[King Ngi],
Global Propagation of Affine Invariant Features for Robust Matching,
IP(22), No. 7, 2013, pp. 2876-2888.
IEEE DOI 1307
filtering theory; rendering (computer graphics); affine invariant features; image based rendering; nonrigid deformation BibRef

Dickscheid, T.[Timo], Schindler, F.[Falko], Förstner, W.[Wolfgang],
Coding Images with Local Features,
IJCV(94), No. 2, September 2011, pp. 154-174.
WWW Link. 1101
BibRef
Earlier: A3, A1, A2:
Detecting interpretable and accurate scale-invariant keypoints,
ICCV09(2256-2263).
IEEE DOI 0909
Describing images with local features, consider in terms usually used for coding. Junction type features, scale space version of Forstner detector ( See also Framework For Low Level Feature Extraction, A. ), and spiral feature of Bigun ( See also Structure Feature for Image Processing Applications Based on Spiral Functions, A. ). BibRef

Schindler, F.[Falko], Förstner, W.[Wolfgang],
DijkstraFPS: Graph Partitioning in Geometry and Image Processing,
PFG(2013), No. 4, 2013, pp. 285-296.
DOI Link 1309
BibRef

Roscher, R.[Ribana], Schindler, F.[Falko], Förstner, W.[Wolfgang],
High Dimensional Correspondences from Low Dimensional Manifolds: An Empirical Comparison of Graph-Based Dimensionality Reduction Algorithms,
Subspace10(334-343).
Springer DOI 1109
correspondence on lower dimensional space. BibRef

Olague, G.[Gustavo], Trujillo, L.[Leonardo],
Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming,
IVC(29), No. 7, June 2011, pp. 484-498.
Elsevier DOI 1101
BibRef
Earlier: A2, A1:
Scale Invariance for Evolved Interest Operators,
EvoIASP07(423-430).
Springer DOI 0704
BibRef
Earlier: A2, A1:
Using Evolution to Learn How to Perform Interest Point Detection,
ICPR06(I: 211-214).
IEEE DOI 0609
Interest points; Computer assisted design; Evolutionary computation; Genetic programming; Evolutionary computer vision BibRef

Trujillo, L.[Leonardo], Olague, G.[Gustavo], Fernandez, F., Lutton, E.,
Evolutionary feature selection for probabilistic object recognition, novel object detection and object saliency estimation using GMMs,
BMVC07(xx-yy).
PDF File. 0709
BibRef

Bradley, P., Jutzi, B.,
Improved Feature Detection in Fused Intensity-Range Images with Complex SIFT (CSIFT),
RS(3), No. 9, September 2011, pp. 2076-2088.
DOI Link 1203
BibRef

Sadek, R., Constantinopoulos, C., Meinhardt, E., Ballester, C., Caselles, V.,
On Affine Invariant Descriptors Related to SIFT,
SIIMS(5), No. 2, 2012, pp. 652-687.
DOI Link 1206
BibRef

Chang, L.[Leonardo], Hernández-Palancar, J.[José], Sucar, L.E.[L. Enrique], Arias-Estrada, M.[Miguel],
FPGA-based detection of SIFT interest keypoints,
MVA(24), No. 2, February 2013, pp. 371-392.
WWW Link. 1302
BibRef

Park, H.[Hanhoon], Mitsumine, H.[Hideki], Fujii, M.[Mahito],
Fast Detection of Robust Features by Reducing the Number of Box Filtering in SURF,
IEICE(E94-D), No. 3, March 2011, pp. 725-728.
WWW Link. 1103
BibRef

Chi, Y.[Yitao], Xiong, Z.[Zhang], Chang, Q.[Qing], Li, C.[Chao], Sheng, H.[Hao],
Improving Hessian Matrix Detector for SURF,
IEICE(E94-D), No. 4, April 2011, pp. 921-925.
WWW Link. 1104
BibRef

Liao, C.[Chao], Wang, G.J.[Gui-Jin], Miao, Q.[Quan], Wang, Z.G.[Zhi-Guo], Shi, C.B.[Chen-Bo], Lin, X.G.[Xing-Gang],
DSP-Based Parallel Implementation of Speeded-Up Robust Features,
IEICE(E94-D), No. 4, April 2011, pp. 930-933.
WWW Link. 1104
SURF BibRef

Ehsan, S.[Shoaib], Kanwal, N.[Nadia], Clark, A.F.[Adrian F.], McDonald-Maier, K.D.[Klaus D.],
An Algorithm for the Contextual Adaption of SURF Octave Selection With Good Matching Performance: Best Octaves,
IP(21), No. 1, January 2012, pp. 297-304.
IEEE DOI 1112
BibRef
Earlier:
Measuring the Coverage of Interest Point Detectors,
ICIAR11(I: 253-261).
Springer DOI 1106
BibRef

Kanwal, N.[Nadia], Ehsan, S.[Shoaib], Clark, A.F.[Adrian F.],
Are Performance Differences of Interest Operators Statistically Significant?,
CAIP11(II: 429-436).
Springer DOI 1109
Evaluation, Interest Points. BibRef

Alcantarilla, P.F.[Pablo F.], Bergasa, L.M.[Luis M.], Davison, A.J.[Andrew J.],
Gauge-SURF descriptors,
IVC(31), No. 1, January 2013, pp. 103-116.
Elsevier DOI 1302
Gauge coordinates; Scale space; Feature descriptors; Integral image BibRef

Alcantarilla, P.F.[Pablo Fernández], Bartoli, A.E.[Adrien E.], Davison, A.J.[Andrew J.],
KAZE Features,
ECCV12(VI: 214-227).
Springer DOI 1210
BibRef

Alcantarilla, P.F.[Pablo F.], Nuevo, J.[Jesus], Bartoli, A.E.[Adrien E.],
Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Jing, H.[Huiyun], He, X.[Xin], Han, Q.[Qi], Niu, X.[Xiamu],
CBRISK: Colored Binary Robust Invariant Scalable Keypoints,
IEICE(E96-D), No. 2, February 2013, pp. 392-395.
WWW Link. 1301
BRISK faster than SIFT/SURF. Extend BRISK to include color information. See also BRISK: Binary Robust invariant scalable keypoints. BibRef

Chiu, L.C.[Liang-Chi], Chang, T.S.[Tian-Sheuan], Chen, J.Y.[Jiun-Yen], Chang, N.Y.C.,
Fast SIFT Design for Real-Time Visual Feature Extraction,
IP(22), No. 8, 2013, pp. 3158-3167.
IEEE DOI 1307
CMOS integrated circuits; fast SIFT design; BibRef

Han, H., Han, Q., Li, X., Gu, J.,
Hierarchical spatial pyramid max pooling based on SIFT features and sparse coding for image classification,
IET-CV(7), No. 2, 2013, pp. -.
DOI Link 1307
BibRef

Sima, A.A.[Aleksandra A.], Buckley, S.J.[Simon J.],
Optimizing SIFT for Matching of Short Wave Infrared and Visible Wavelength Images,
RS(5), No. 5, 2013, pp. 2037-2056.
DOI Link 1307
BibRef

Liao, K.[Kaiyang], Liu, G.Z.[Gui-Zhong], Hui, Y.S.[You-Shi],
An improvement to the SIFT descriptor for image representation and matching,
PRL(34), No. 11, 1 August 2013, pp. 1211-1220.
Elsevier DOI 1306
Local descriptor; SIFT; Point matching BibRef

Mainali, P.[Pradip], Lafruit, G.[Gauthier], Yang, Q.[Qiong], Geelen, B.[Bert], Van Gool, L.J.[Luc J.], Lauwereins, R.[Rudy],
SIFER: Scale-Invariant Feature Detector with Error Resilience,
IJCV(104), No. 2, September 2013, pp. 172-197.
Springer DOI 1308
See also Robust Low Complexity Corner Detector. BibRef

Mainali, P.[Pradip], Lafruit, G.[Gauthier], Tack, K., Van Gool, L.J.[Luc J.], Lauwereins, R.[Rudy],
Derivative-Based Scale Invariant Image Feature Detector With Error Resilience,
IP(23), No. 5, May 2014, pp. 2380-2391.
IEEE DOI 1405
Approximation methods BibRef

Huang, W., Wu, L.D.[Ling-Da], Song, H.C.[Han-Chen], Wei, Y.M.[Ying-Mei],
RBRIEF: a robust descriptor based on random binary comparisons,
IET-CV(7), No. 1, 2013, pp. 29-35.
DOI Link 1307
Compare to SURF, BRIEF, ORB. Robust descriptor. BibRef

Krajník, T.[Tomáš], Šváb, J.[Jan], Pedre, S.[Sol], Cížek, P.[Petr], Preucil, L.[Libor],
FPGA-based module for SURF extraction,
MVA(25), No. 3, April 2014, pp. 787-800.
Springer DOI 1404
BibRef

Sun, Y.B.[Yan-Biao], Zhao, L.[Liang], Huang, S.D.[Shou-Dong], Yan, L.[Lei], Dissanayake, G.[Gamini],
L2-SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry,
PandRS(91), No. 1, 2014, pp. 1-16.
Elsevier DOI 1404
Aerial photogrammetry BibRef

Sun, Y.B.[Yan-Biao], Zhao, L.[Liang], Huang, S.D.[Shou-Dong], Yan, L.[Lei], Dissanayake, G.[Gamini],
Line matching based on planar homography for stereo aerial images,
PandRS(104), No. 1, 2015, pp. 1-17.
Elsevier DOI 1505
Line matching BibRef

Tian, X.L.[Xiao-Lin], Jiao, L.C.[Li-Cheng], Liu, X.[Xianlong], Zhang, X.H.[Xiao-Hua],
Feature integration of EODH and Color-SIFT: Application to image retrieval based on codebook,
SP:IC(29), No. 4, 2014, pp. 530-545.
Elsevier DOI 1404
Image retrieval BibRef

Yang, Z.X.[Zhou-Xin], Kurita, T.[Takio],
Improvements of Local Descriptor in HOG/SIFT by BOF Approach,
IEICE(E97-D), No. 5, May 2014, pp. 1293-1303.
WWW Link. 1405
BibRef
Earlier:
Improvements to the Descriptor of SIFT by BOF Approaches,
ACPR13(95-99)
IEEE DOI 1408
computer vision BibRef

Bai, S.[Shuang], Hou, J.J.[Jian-Jun], Ohnishi, N.[Noboru],
Combining LBP and SIFT in Sparse Coding for Categorizing Scene Images,
IEICE(E97-D), No. 9, September 2014, pp. 2563-2566.
WWW Link. 1410
BibRef

Dellinger, F., Delon, J., Gousseau, Y., Michel, J., Tupin, F.,
SAR-SIFT: A SIFT-Like Algorithm for SAR Images,
GeoRS(53), No. 1, January 2015, pp. 453-466.
IEEE DOI 1410
image registration BibRef

Baber, J.[Junaid], Dailey, M.N.[Matthew N.], Satoh, S.[Shin'ichi], Afzulpurkar, N.[Nitin], Bakhtyar, M.[Maheen],
BIG-OH: BInarization of Gradient Orientation Histograms,
IVC(32), No. 11, 2014, pp. 940-953.
Elsevier DOI 1410
Gradient orientation histograms Quantized SIFT. BibRef

Liu, R.Z.[Run Zong], Tang, Y.Y.[Yuan Yan], Fang, B.[Bin],
Topological Coding and Its Application in the Refinement of SIFT,
Cyber(44), No. 11, November 2014, pp. 2155-2166.
IEEE DOI 1411
affine transforms BibRef

Otero, I.R.[Ives Rey], Delbracio, M.[Mauricio],
Anatomy of the SIFT Method,
IPOL(4), 2014, pp. 370-396.
DOI Link 1412
See also Distinctive Image Features from Scale-Invariant Keypoints. BibRef

Dan, G., Khan, M.A., Fodor, V.,
Characterization of SURF and BRISK Interest Point Distribution for Distributed Feature Extraction in Visual Sensor Networks,
MultMed(17), No. 5, May 2015, pp. 591-602.
IEEE DOI 1505
Cameras BibRef

Oyallon, E.[Edouard], Rabin, J.[Julien],
An Analysis of the SURF Method,
IPOL(5), 2015, pp. 176-218.
DOI Link 1508
Code, SURF. General section: See also Scale Invariant Features, SIFT, SURF. BibRef

Khan, N.[Nabeel], McCane, B.[Brendan], Mills, S.[Steven],
Better than SIFT?,
MVA(26), No. 6, August 2015, pp. 819-836.
WWW Link. 1508
BibRef

Liu, Y.[Yu], Wang, Z.F.[Zeng-Fu],
Dense SIFT for ghost-free multi-exposure fusion,
JVCIR(31), No. 1, 2015, pp. 208-224.
Elsevier DOI 1508
Multi-exposure fusion BibRef

Stanciu, S.G.[Stefan G.], Tranca, D.E.[Denis E.], Coltuc, D.[Dinu],
Contrast enhancement influences the detection of gradient based local invariant features and the matching of their descriptors,
JVCIR(32), No. 1, 2015, pp. 246-256.
Elsevier DOI 1511
Contrast enhancement BibRef

Huang, M., Mu, Z., Zeng, H.,
Efficient image classification via sparse coding spatial pyramid matching representation of SIFT-WCS-LTP feature,
IET-IPR(10), No. 1, 2016, pp. 61-67.
DOI Link 1601
feature extraction BibRef

Awad, D.[Dounia], Courboulay, V.[Vincent], Revel, A.[Arnaud],
Toward a perceptual object recognition system,
ELCVIA(14), No. 3, 2015, pp. xx-yy.
DOI Link 1601
Thesis summary. BibRef

Awad, D.[Dounia], Courboulay, V.[Vincent], Revel, A.[Arnaud],
A New Hybrid Texture-Perceptual Descriptor: Application CBIR,
ICPR14(1150-1155)
IEEE DOI 1412
BibRef
Earlier:
Saliency Filtering of SIFT Detectors: Application to CBIR,
ACIVS12(290-300).
Springer DOI 1209
Detectors BibRef

Hu, S., Wang, Q., Wang, J., Qin, Z., Ren, K.,
Securing SIFT: Privacy-Preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data,
IP(25), No. 7, July 2016, pp. 3411-3425.
IEEE DOI 1606
Cloud computing. Computation technique. BibRef

Yang, S.Q.A.[Shu-Qi-Ang], Li, B.[Biao], Zeng, K.[Kun],
SBRISK: speed-up binary robust invariant scalable keypoints,
RealTimeIP(12), No. 3, October 2016, pp. 583-591.
WWW Link. 1610
BibRef

Yum, J., Lee, C.H., Kim, J.S., Lee, H.J.,
A Novel Hardware Architecture With Reduced Internal Memory for Real-Time Extraction of SIFT in an HD Video,
CirSysVideo(26), No. 10, October 2016, pp. 1943-1954.
IEEE DOI 1610
Buffer storage BibRef

Kaplan, A.[Avi], Avraham, T.[Tamar], Lindenbaum, M.[Michael],
Interpreting the Ratio Criterion for Matching SIFT Descriptors,
ECCV16(V: 697-712).
Springer DOI 1611
BibRef

Koutaki, G.[Gou], Uchimura, K.[Keiichi],
XY-Separable Scale-Space Filtering by Polynomial Representations and Its Applications,
IEICE(E100-D), No. 4, April 2017, pp. 645-654.
WWW Link. 1704
BibRef
Earlier:
Scale-Space Processing Using Polynomial Representations,
CVPR14(2744-2751)
IEEE DOI 1409
PCA; SIFT; Scale space; Spectral Decomposition BibRef

Kavitha, H., Sudhamani, M.V.,
Experimental analysis of SIFT and SURF features for multi-object image retrieval,
IJCVR(7), No. 3, 2017, pp. 344-356.
DOI Link 1704
BibRef

Yang, F.[Feng], Ma, Z.[Zheng], Xie, M.[Mei],
Codebook Learning for Image Recognition Based on Parallel Key SIFT Analysis,
IEICE(E100-D), No. 4, April 2017, pp. 927-930.
WWW Link. 1704
BibRef

Zhang, W., Wu, X., Zhu, W.P., Yu, L.,
Unsupervized Image Clustering With SIFT-Based Soft-Matching Affinity Propagation,
SPLetters(24), No. 4, April 2017, pp. 461-464.
IEEE DOI 1704
feature extraction BibRef

Hassner, T.[Tal], Filosof, S.[Shay], Mayzels, V.[Viki], Zelnik-Manor, L.[Lihi],
SIFTing Through Scales,
PAMI(39), No. 7, July 2017, pp. 1431-1443.
IEEE DOI 1706
BibRef
Earlier: A1, A3, A4, Only:
On SIFTs and their scales,
CVPR12(1522-1528).
IEEE DOI 1208
Detectors, Estimation, Feature extraction, Laplace equations, Optical imaging, Optimization, Robustness, Vision and scene understanding, and transforms, data structures, representations BibRef

de Lima, R.[Roberto], Martinez-Carranza, J.[Jose], Morales-Reyes, A.[Alicia], Cumplido, R.[Rene],
Improving the construction of ORB through FPGA-based acceleration,
MVA(28), No. 5-6, August 2017, pp. 525-537.
Springer DOI 1708
See also ORB: An efficient alternative to SIFT or SURF. BibRef

Lin, B.W.[Bao-Wei], Wang, F.S.[Fa-Sheng], Sun, Y.[Yi], Qu, W.[Wen], Chen, Z.[Zheng], Zhang, S.[Shuo],
Boundary points based scale invariant 3D point feature,
JVCIR(48), No. 1, 2017, pp. 136-148.
Elsevier DOI 1708
3D, point, clouds BibRef

Lin, B.W.[Bao-Wei], Zhao, F.[Fangda], Tamaki, T.[Toru], Wang, F.S.[Fa-Sheng], Xiao, L.[Le],
SIPF: Scale invariant point feature for 3D point clouds,
ICIP15(2611-2615)
IEEE DOI 1512
SIPF; feature; point cloud; scale invariant BibRef

Sekeroglu, K.[Kazim], Soysal, Ö.M.[Ömer Muhammet],
Comparison of SIFT, Bi-SIFT, and Tri-SIFT and their frequency spectrum analysis,
MVA(28), No. 8, November 2017, pp. 875-902.
WWW Link. 1710
BibRef

Lee, C., Rhee, C.E., Lee, H.J.,
Complexity Reduction by Modified Scale-Space Construction in SIFT Generation Optimized for a Mobile GPU,
CirSysVideo(27), No. 10, October 2017, pp. 2246-2259.
IEEE DOI 1710
Feature extraction, Graphics processing units, Image resolution, Mobile communication, Real-time systems, BibRef

Liu, L.F.[Li-Feng], Ma, Y.[Yan], Zhang, X.F.[Xiang-Fen], Zhang, Y.P.[Yu-Ping], Li, S.[Shunbao],
High discriminative SIFT feature and feature pair selection to improve the bag of visual words model,
IET-IPR(11), No. 11, November 2017, pp. 994-1001.
DOI Link 1711
BibRef


Shi, J.F.[Jian-Feng], Ulrich, S.[Steve], Ruel, S.[Stephane],
yBRIEF: A study of non-Gaussian Binary Elementary Features,
ICIVC17(87-91)
IEEE DOI 1708
Boats, Feature extraction, Histograms, Latches, Retina, Robustness, Smoothing methods, AKAZE, BRIEF, ORB, SIFT, SURF, binary descriptors, image feature, yBRIEF BibRef

Abuzneid, M.[Mohannad], Mahmood, A.[Ausif],
Image Registration Based on a Minimized Cost Function and SURF Algorithm,
ICIAR17(321-329).
Springer DOI 1706
BibRef

Desolneux, A.[Agnčs], Leclaire, A.[Arthur],
Stochastic Image Reconstruction from Local Histograms of Gradient Orientation,
SSVM17(133-145).
Springer DOI 1706
Reconstruct from SIFT. BibRef

Kirchner, M.R.,
Automatic thresholding of SIFT descriptors,
ICIP16(291-295)
IEEE DOI 1610
Cameras BibRef

Liao, C.P.[Chong-Po], Hsieh, J.W.[Jun-Wei], Chiang, H.F.[Hui-Fen], Tsao, Y.[Yun],
Visual location search using symmelets,
ICIP16(51-55)
IEEE DOI 1610
Databases BibRef

Zeglazi, O., Amine, A., Rziza, M.,
Sift Descriptors Modeling and Application in Texture Image Classification,
CGiV16(265-268)
IEEE DOI 1608
gamma distribution BibRef

Bruno, A., Greco, L., Cascia, M.L.,
Views selection for SIFT based object modeling and recognition,
IVMSP16(1-5)
IEEE DOI 1608
Cameras BibRef

Rister, B.[Blaine], Reiter, D.[Daniel], Zhang, H.[Hejia], Volz, D.[Daniel], Horowitz, M.[Mark], Gabr, R.E.[Refaat E.], Cavallaro, J.R.[Joseph R.],
Scale- and orientation-invariant keypoints in higher-dimensional data,
ICIP15(3490-3494)
IEEE DOI 1512
3D SIFT BibRef

Saad, E.[Elhusain], Hirakawa, K.[Keigo],
Improving surf interest point detection for defocus blur robustness,
ICIP15(3029-3033)
IEEE DOI 1512
Feature detection; image blur BibRef

Vasconcelos, L.O.[Levi O.], Nascimento, E.R.[Erickson R.], Campos, M.F.M.[Mario F. M.],
A Scale Invariant Keypoint Detector Based on Visual and Geometrical Cues,
CIARP15(341-349).
Springer DOI 1511
BibRef

Setitra, I.[Insaf], Larabi, S.[Slimane],
SIFT Descriptor for Binary Shape Discrimination, Classification and Matching,
CAIP15(I:489-500).
Springer DOI 1511
BibRef

Dong, J.M.[Jing-Ming], Soatto, S.[Stefano],
Domain-size pooling in local descriptors: DSP-SIFT,
CVPR15(5097-5106)
IEEE DOI 1510
BibRef

Borg, N.P., Debono, C.J., Zammit-Mangion, D.,
A single octave SIFT algorithm for image feature extraction in resource limited hardware systems,
VCIP14(213-216)
IEEE DOI 1504
aircraft navigation BibRef

Daud, M.M.[M. Mat], Kadim, Z., Yuen, S.L.[Shang Li], Woon, H.H.[Hon Hock], Faye, I., Malik, A.S.,
A pre-processing approach for efficient feature matching process in extreme illumination scenario,
IPTA12(275-279)
IEEE DOI 1503
feature extraction Enhancement, SURF. BibRef

Baroffio, L.[Luca], Canclini, A.[Antonio], Cesana, M.[Matteo], Redondi, A.[Alessandro], Tagliasacchi, M.[Marco],
Briskola: BRISK optimized for low-power ARM architectures,
ICIP14(5691-5695)
IEEE DOI 1502
Computer architecture Binary Robust Invariant Scalable Keypoints. BibRef

Tang, Z.W.[Zhong-Wei], Monasse, P.[Pascal], Morel, J.M.[Jean-Michel],
Improving the matching precision of SIFT,
ICIP14(5756-5760)
IEEE DOI 1502
Cameras BibRef

Acharya, K.A.[K. Aniruddha], Babu, R.V.[R. Venkatesh],
Speeding up SIFT using GPU,
NCVPRIPG13(1-4)
IEEE DOI 1408
computer vision BibRef

Zhang, C.[Chao], Shen, T.Z.[Ting-Zhi],
Scale-Less Feature-Spatial Matching,
DICTA13(1-8)
IEEE DOI 1402
feature extraction BibRef

Bucak, S., Saxena, A., Nagar, A., Fernandes, F., Bhat, K.P.,
Mid-level feature based local descriptor selection for image search,
VCIP13(1-6)
IEEE DOI 1402
image processing BibRef

Nagar, A., Saxena, A., Bucak, S., Fernandes, F., Bhat, K.P.,
Low complexity image matching using color based SIFT,
VCIP13(1-6)
IEEE DOI 1402
Fourier transforms BibRef

Nga, D.H.[Do Hang], Yanai, K.[Keiji],
A Dense SURF and Triangulation Based Spatio-temporal Feature for Action Recognition,
MMMod14(I: 375-387).
Springer DOI 1405
BibRef
Earlier:
A Spatio-temporal Feature Based on Triangulation of Dense SURF,
THUMOS13(420-427)
IEEE DOI 1403
feature extraction BibRef

Schweiger, F.[Florian], Schroth, G.[Georg], Huitl, R.[Robert], Latif, Y.[Yasir], Steinbach, E.[Eckehard],
Speeded-up SURF: Design of an efficient multiscale feature detector,
ICIP13(3475-3478)
IEEE DOI 1402
Feature detection; SIFT; SURF; fast implementation; scale-invariance BibRef

Elhoseiny, M.[Mohamed], Song, B.[Bing], Sudol, J.[Jeremi], McKinnon, D.[David],
Low-bitrate benefits of JPEG compression on sift recognition,
ICIP13(3657-3661)
IEEE DOI 1402
Image Matching;JPEG;Low Bitrate;Mobile Visual Search;SIFT BibRef

Bruno, A.[Alessandro], Greco, L.[Luca], La Cascia, M.[Marco],
Object Recognition and Modeling Using SIFT Features,
ACIVS13(250-261).
Springer DOI 1311
BibRef

Abeles, P.[Peter],
Speeding Up SURF,
ISVC13(II:454-464).
Springer DOI 1311
BibRef

Li, J.G.[Jian-Guo], Zhang, Y.M.[Yi-Min],
Learning SURF Cascade for Fast and Accurate Object Detection,
CVPR13(3468-3475)
IEEE DOI 1309
BibRef

Ding, Y.X.[Yu-Xin], Zhao, B.[Bin], You, Q.Z.[Qing-Zhen], Chai, G.R.[Guang-Ren],
Object retrival based on visual word pairs,
ICIP12(1929-1932).
IEEE DOI 1302
Coarse and fine SIFT detectors. BibRef

Saygili, G.[Gorkem], van der Maaten, L.[Laurens], Hendriks, E.A.[Emile A.],
Improving segment based stereo matching using SURF key points,
ICIP12(2973-2976).
IEEE DOI 1302
BibRef

Tang, H.[Hao], Tang, F.[Feng],
AH-SIFT: Augmented Histogram based SIFT descriptor,
ICIP12(2357-2360).
IEEE DOI 1302
BibRef

Su, H.[Hui], Chuang, W.H.[Wei-Hong], Lu, W.J.[Wen-Jun], Wu, M.[Min],
Evaluating the quality of individual SIFT features,
ICIP12(2377-2380).
IEEE DOI 1302
BibRef

Shi, J.[Jun], Jiang, Z.G.[Zhi-Guo], Feng, H.[Hao], Zhang, L.[Liguo],
SIFT-based Elastic sparse coding for image retrieval,
ICIP12(2437-2440).
IEEE DOI 1302
BibRef

Matusiak, K.[Karol], Skulimowski, P.[Piotr],
Comparison of Key Point Detectors in SIFT Implementation for Mobile Devices,
ICCVG12(509-516).
Springer DOI 1210
BibRef

Khan, N.Y., McCane, B.,
Analysis of Verification Methods for Indoor Image Matching,
ACPR13(38-42)
IEEE DOI 1408
document image processing BibRef

Khan, N.Y., McCane, B., Wyvill, G.,
SIFT and SURF Performance Evaluation against Various Image Deformations on Benchmark Dataset,
DICTA11(501-506).
IEEE DOI 1205
BibRef

Rublee, E.[Ethan], Rabaud, V.[Vincent], Konolige, K.G.[Kurt G.], Bradski, G.[Gary],
ORB: An efficient alternative to SIFT or SURF,
ICCV11(2564-2571).
IEEE DOI 1201
BibRef

Leutenegger, S.[Stefan], Chli, M.[Margarita], Siegwart, R.Y.[Roland Y.],
BRISK: Binary Robust invariant scalable keypoints,
ICCV11(2548-2555).
IEEE DOI 1201
Alternative to SURF, faster computation. BibRef

Liu, X.B.[Xiao-Bing], Zhang, B.[Bo],
Learning complex image patterns with Scale and Shift Invariant Sparse Coding,
ICIP11(1225-1228).
IEEE DOI 1201
BibRef

Chao, J.S.[Jian-Shu], Steinbach, E.G.[Eckehard G.],
Preserving SIFT features in JPEG-encoded images,
ICIP11(301-304).
IEEE DOI 1201
BibRef

McGuinness, K.[Kevin], McCusker, K.[Kealan], O'Hare, N.[Neil], O'Connor, N.E.[Noel E.],
Efficient Storage and Decoding of SURF Feature Points,
MMMod12(440-451).
Springer DOI 1201
BibRef

Mok, S.J.[Seung Jun], Jung, K.[Kyungboo], Ko, D.W.[Dong Wook], Lee, S.H.[Sang Hwa], Choi, B.U.[Byung-Uk],
SERP: SURF Enhancer for Repeated Pattern,
ISVC11(II: 578-587).
Springer DOI 1109
BibRef

Shang, M.Y.[Mian-You], Pan, J.[Jing], Pang, Y.[Yanwei], Yuan, Y.[Yuan],
Integrating kAS and SIFT-like Descriptor for Image Description,
ICIG11(533-537).
IEEE DOI 1109
BibRef

Brown, M.[Matthew], Susstrunk, S.[Sabine],
Multi-spectral SIFT for scene category recognition,
CVPR11(177-184).
IEEE DOI 1106
BibRef

Brown, M.[Matthew], Susstrunk, S.[Sabine], Fua, P.[Pascal],
Spatio-chromatic decorrelation by shift-invariant filtering,
WBCV11(27-34).
IEEE DOI 1106
BibRef

Li, B.[Bing], Xiao, R.[Rong], Li, Z.W.[Zhi-Wei], Cai, R.[Rui], Lu, B.L.[Bao-Liang], Zhang, L.[Lei],
Rank-SIFT: Learning to rank repeatable local interest points,
CVPR11(1737-1744).
IEEE DOI 1106
BibRef

Kalia, R.[Robin], Lee, K.D.[Keun-Dong], Samir, B.V.R., Je, S.K.[Sung-Kwan], Oh, W.G.[Weon-Geun],
An analysis of the effect of different image preprocessing techniques on the performance of SURF: Speeded Up Robust Features,
FCV11(1-6).
IEEE DOI 1102
BibRef

Le, M.H.[My-Ha], Woo, B.S.[Byung-Seok], Jo, K.H.[Kang-Hyun],
A Comparison of SIFT and Harris conner features for correspondence points matching,
FCV11(1-4).
IEEE DOI 1102
BibRef

Zhu, D.X.[Dai-Xian],
SIFT algorithm analysis and optimization,
IASP10(415-419).
IEEE DOI 1004
BibRef

Zhu, D.X.[Dai-Xian], Wang, X.H.[Xiao-Hua],
A Method of Improving SIFT Algorithm Matching Efficiency,
CISP09(1-5).
IEEE DOI 0910
BibRef

Li, Z.[Zhan], Peng, J.Y.[Jing Ye], Li, D.X.[Da-Xiang], Zhang, Y.[Ying],
Max-Matching Context Kernel Design for SIFT Feature,
CISP09(1-5).
IEEE DOI 0910
BibRef

Noury, N.[Nicolas], Sur, F.[Frédéric], Berger, M.O.[Marie-Odile],
How to Overcome Perceptual Aliasing in ASIFT?,
ISVC10(I: 231-242).
Springer DOI 1011
Affine-invariant also. Deal with repeating patterns. BibRef

Hsu, C.Y.[Chao-Yung], Lu, C.S.[Chun-Shien], Pei, S.C.[Soo-Chang],
Secure and robust SIFT with resistance to chosen-plaintext attack,
ICIP10(997-1000).
IEEE DOI 1009
I.e. SIFT features can be removed, but visual quality isn't lost. BibRef

Ma, R.[Rui], Chen, J.[Jian], Su, Z.[Zhong],
MI-SIFT: mirror and inversion invariant generalization for SIFT descriptor,
CIVR10(228-235).
DOI Link 1007
BibRef

Bellavia, F.[Fabio], Tegolo, D.[Domenico], Trucco, E.[Emanuele],
Improving SIFT-based Descriptors Stability to Rotations,
ICPR10(3460-3463).
IEEE DOI 1008
BibRef

Engel, D.[David], Curio, C.[Cristobal],
Shape centered interest points for feature grouping,
POCV10(9-16).
IEEE DOI 1006
BibRef
Earlier:
Scale-invariant medial features based on gradient vector flow fields,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Moreno, P.[Plinio], Marín-Jiménez, M.J.[Manuel J.], Bernardino, A.[Alexandre], Santos-Victor, J.[José], de la Blanca, N.P.[Nicolás Pérez],
A Comparative Study of Local Descriptors for Object Category Recognition: SIFT vs HMAX,
IbPRIA07(I: 515-522).
Springer DOI 0706
BibRef

Schügerl, P.[Philipp], Sorschag, R.[Robert], Bailer, W.[Werner], Thallinger, G.[Georg],
Object Re-detection Using SIFT and MPEG-7 Color Descriptors,
MCAM07(305-314).
Springer DOI 0706
BibRef

Yu, Y.[Yinan], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
A Harris-Like Scale Invariant Feature Detector,
ACCV09(II: 586-595).
Springer DOI 0909
BibRef

Ayadi, W., Benazza-Benyahia, A.,
Wavelet based statistical detection of salient points by the exploitation of the interscale redundancies,
ICIP09(1001-1004).
IEEE DOI 0911
BibRef

Lopez-Garcia, F.[Fernando],
SIFT features for object recognition and tracking within the IVSEE system,
ICPR08(1-4).
IEEE DOI 0812
Erly vision model BibRef

Hansen, P., Boles, W., Corke, P.,
Spherical Diffusion for Scale-Invariant Keypoint Detection in Wide-Angle Images,
DICTA08(525-532).
IEEE DOI 0812
BibRef

Zeisl, B.[Bernhard], Georgel, P.F.[Pierre Fite], Schweiger, F.[Florian], Steinbach, E.[Eckehard], Navab, N.[Nassir],
Estimation of Location Uncertainty for Scale Invariant Features Points,
BMVC09(xx-yy).
PDF File. Video:
WWW Link. 0909
Evaluation. See also Recovering the full pose from a single keyframe. BibRef

Evans, C.[Christopher],
Notes on the opensurf library,
Technical ReportCSTR-09-001, University of Bristol, January 2009.
PDF File. 0911
BibRef

Cordes, K.[Kai], Topic, O.[Oliver], Scherer, M.[Manuel], Klempt, C.[Carsten], Rosenhahn, B.[Bodo], Ostermann, J.[Jörn],
Classification of Atomic Density Distributions Using Scale Invariant Blob Localization,
ICIAR11(I: 161-172).
Springer DOI 1106
BibRef

Cordes, K.[Kai], Rosenhahn, B.[Bodo], Ostermann, J.[Jörn],
High-Resolution Feature Evaluation Benchmark,
CAIP13(327-334).
Springer DOI 1308
BibRef

Cordes, K.[Kai], Müller, O.[Oliver], Rosenhahn, B.[Bodo], Ostermann, J.[Jörn],
Bivariate Feature Localization for SIFT Assuming a Gaussian Feature Shape,
ISVC10(I: 264-275).
Springer DOI 1011
BibRef
Earlier:
HALF-SIFT: High-Accurate Localized Features for SIFT,
FeatureSpace09(31-38).
IEEE DOI 0906
See also NF-Features: No-Feature-Features for Representing Non-textured Regions. BibRef

Priese, L.[Lutz], Schmitt, F.[Frank], Hering, N.[Nils],
Grouping of Semantically Similar Image Positions,
SCIA09(726-734).
Springer DOI 0906
Use Scale Invariant Feature Transformation (SIFT). And Color-Structure-Code segmentation. ( See also 3D-Color-Structure-Code: A Hierarchical Region Growing Method for Segmentation of 3D-Images. ). BibRef

Harding, P.[Patrick], Robertson, N.M.[Neil M.],
A Comparison of Feature Detectors with Passive and Task-Based Visual Saliency,
SCIA09(716-725).
Springer DOI 0906
Investigates the coincidence between six interest point detection methods (SIFT ( See also Distinctive Image Features from Scale-Invariant Keypoints. ), MSER (Maximally Stable Extremal Region) ( See also Robust Wide Baseline Stereo from Maximally Stable Extremal Regions. ), Harris-Laplace, SURF ( See also Speeded-Up Robust Features (SURF). ), FAST and Kadir-Brady Saliency ( See also Affine Invariant Salient Region Detector, An. )) BibRef

Cui, Y.[Yan], Hasler, N.[Nils], Thormählen, T.[Thorsten], Seidel, H.P.[Hans-Peter],
Scale Invariant Feature Transform with Irregular Orientation Histogram Binning,
ICIAR09(258-267).
Springer DOI 0907
SIFT (Scale Invariant Feature Transform) Irregular grid approach. BibRef

Park, J.H.[Jae-Han], Park, K.W.[Kyung-Wook], Baeg, S.H.[Seung-Ho], Baeg, M.H.[Moon-Hong],
pi-SIFT: A photometric and Scale Invariant Feature Transform,
ICPR08(1-4).
IEEE DOI 0812
SIFT: See also Distinctive Image Features from Scale-Invariant Keypoints. BibRef

Scotney, B.W.[Bryan W.], Coleman, S.A.[Sonya A.], Gardiner, B.[Bryan],
Biologically motivated feature extraction using the spiral architecture,
ICIP11(221-224).
IEEE DOI 1201
BibRef
Earlier: A2, A1, A3:
Biologically Motivated Feature Extraction,
CIAP11(I: 605-615).
Springer DOI 1109
BibRef
Earlier: A2, A1, A3:
Coarse Scale Feature Extraction Using the Spiral Architecture Structure,
ICPR10(2370-2373).
IEEE DOI 1008
BibRef

Kerr, D.[Dermot], Coleman, S.A.[Sonya A.], Scotney, B.W.[Bryan W.],
A Finite Element Blob Detector for Robust Features,
CIAP11(I: 504-513).
Springer DOI 1109
BibRef
Earlier:
FESID: Finite Element Scale Invariant Detector,
CIAP09(72-81).
Springer DOI 0909
BibRef
Earlier: A1, A3, A2:
Interest point detection on incomplete images,
ICIP08(817-820).
IEEE DOI 0810
See also Space Variant Gradient Based Corner Detector for Sparse Omnidirectional Images, A. BibRef

Kokkinos, I.[Iasonas], Yuille, A.L.[Alan L.],
Scale invariance without scale selection,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Toews, M.[Matthew], Wells, W.[William],
SIFT-Rank: Ordinal description for invariant feature correspondence,
CVPR09(172-177).
IEEE DOI 0906
BibRef

Toews, M., Arbel, T.,
Entropy-of-likelihood feature selection for image correspondence,
ICCV03(1041-1047).
IEEE DOI 0311
BibRef

Hall, D., Leibe, B., Schiele, B.,
Saliency of Interest Points under Scale Changes,
BMVC02(Poster Session). 0208
BibRef

Grabner, M.[Michael], Grabner, H.[Helmut], Bischof, H.[Horst],
Fast Approximated SIFT,
ACCV06(I:918-927).
Springer DOI 0601
Regions of interest. SIFT: See also Distinctive Image Features from Scale-Invariant Keypoints. BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Local Binary Patterns, LBP, Point Features .


Last update:Dec 7, 2017 at 17:23:10