7 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture

Two-Dimensional feature extraction and computation algorithms are described here. Edge detection, region segmentation and texture are covered in later chapters.

7.1 Computation of General Features

Chapter Contents (Back)
Feature Extraction. Fast Algorithms. Parallel Algorithms. Feature Computation.

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And:
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IEEE DOI 0310
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Levialdi, S., and Cinque, L.,
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Douglas, S.C.,
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Mao, J.C., Jain, A.K.,
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Xin, K., Lim, K.B., Hong, G.S.,
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Rao, A., Perens, B.,
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Chuang, E.R.[E-Ren], Sher, D.[David],
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Benteftifa, M.H., Kurz, L.,
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Meisels, A., Hason, O., Hess, H.,
Quantification and Abstraction: Low Level Tokens for Object Extraction,
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Hu, X.P., and Ahuja, N.,
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Earlier: SPIE(1964), 1993, pp. 51-65. BibRef

Levine, S.H., Kreifeldt, J.G., Chuang, M.C.,
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Levine, S.H., Kreifeldt, J.G.,
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Kovalevsky, V.A.[Vladimir A.],
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Gevorkian, D.Z., Astola, J.T., Atourian, S.M.,
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Shi, H.C., Ritter, G.X., Wilson, J.N.,
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Mirmehdi, M., Palmer, P.L., Kittler, J.V.,
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Robbins, B., Owens, R.,
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Perona, P.,
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IP(7), No. 3, March 1998, pp. 457-467.
IEEE DOI 9803
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Earlier: CVPR97(710-716).
IEEE DOI 9704
Edges, lines, corners. Diffusion techniques. BibRef

Baker, S.[Simon], Nayar, S.K.[Shree K.], Murase, H.[Hiroshi],
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Baker, S.[Simon],
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Ph.D.Thesis, September 1998, Department of Computer Science, Columbia University.
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Brailovsky, V.L.,
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Jiang, T.Z., Ma, S.D.,
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Nandy, D., Ben-Arie, J.,
Generalized Feature Extraction Using Expansion Matching,
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Wang, Z., Ben-Arie, J.,
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Features correspond to entropy rich areas of the image. See also Encoding Visual Information Using Anisotropic Transformations. BibRef

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Object Recognition with Features Inspired by Visual Cortex,
CVPR05(II: 994-1000).
IEEE DOI 0507
Build representation by alternating between template and a maximum pooling operation. Both shape and texture. Learns from a few examples. See also On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision. See also Hierarchical models of object recognition in cortex. BibRef

CVonline: Geometric Feature Extraction Methods,
CV-OnlineJuly 2001.
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Duan, C., Meng, X., Tu, C., Yang, C.,
How to make local image features more efficient and distinctive,
IET-CV(2), No. 3, September 2008, pp. 178-189.
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Intrinsic MANOVA for Riemannian Manifolds with an Application to Kendall's Space of Planar Shapes,
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Huckemann, S.[Stephan], Hotz, T.[Thomas],
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Bayro-Corrochano, E.[Eduardo],
Geometric Computing for Wavelet Transforms, Robot Vision, Learning, Control and Action,
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Zhu, S.C.[Song-Chun], Shi, K.[Kent], Si, Z.Z.[Zhang-Zhang],
Learning explicit and implicit visual manifolds by information projection,
PRL(31), No. 8, 1 June 2010, pp. 667-685.
Elsevier DOI 1004
Texture; Texton; Image Manifold; Primal sketch; Visual learning; Information projection See also Learning Hybrid Image Templates (HIT) by Information Projection. See also Learning AND-OR Templates for Object Recognition and Detection. BibRef

Shi, K.[Kent], Zhu, S.C.[Song-Chun],
Mapping Natural Image Patches by Explicit and Implicit Manifolds,
CVPR07(1-7).
IEEE DOI 0706
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Silva, A.G.[Alexandre Goncalves], de Alencar Lotufo, R.[Roberto],
Efficient computation of new extinction values from extended component tree,
PRL(31), No. 1, January 2010, pp. 79-90.
Elsevier DOI 1011
Component tree; Dynamics; Extinction values; Max-tree Interpret gray-scale image as surface -- valleys, plateaus, etc. extinction values from image extremes. BibRef

Silva, A.G.[Alexandre Gongalves],
Region-based thresholding using component tree,
ICIP11(1445-1448).
IEEE DOI 1201
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Wang, K.[Ke], Xiao, P.F.[Peng-Feng], Feng, X.Z.[Xue-Zhi], Wu, G.P.[Gui-Ping],
Image feature detection from phase congruency based on two-dimensional Hilbert transform,
PRL(32), No. 15, 1 November 2011, pp. 2015-2024.
Elsevier DOI 1112
Phase congruency; Hilbert transform; Local energy; Feature detection BibRef

Bostanci, E., Kanwal, N.[Nadia], Clark, A.F.[Adrian F.],
Spatial Statistics of Image Features for Performance Comparison,
IP(23), No. 1, January 2014, pp. 153-162.
IEEE DOI 1402
feature extraction BibRef

Kanwal, N.[Nadia], Bostanci, E., Clark, A.F.[Adrian F.],
Matching corners using the informative arc,
IET-CV(8), No. 3, June 2014, pp. 245-253.
DOI Link 1407
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Fan, B., Kong, Q., Trzcinski, T., Wang, Z., Pan, C., Fua, P.,
Receptive Fields Selection for Binary Feature Description,
IP(23), No. 6, June 2014, pp. 2583-2595.
IEEE DOI 1406
Accuracy BibRef

Fan, B., Kong, Q., Sui, W., Wang, Z., Wang, X., Xiang, S., Pan, C., Fua, P.,
Do We Need Binary Features for 3D Reconstruction?,
Robust16(1126-1135)
IEEE DOI 1612
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Han, Y.H.[Ya-Hong], Yang, Y.[Yi], Ma, Z.G., Shen, H., Sebe, N., Zhou, X.,
Image Attribute Adaptation,
MultMed(16), No. 4, June 2014, pp. 1115-1126.
IEEE DOI 1407
Between image features and objects. Feature transfer (akin to transfer learning). BibRef

Meng, X.L.[Xiang-Lin], Wang, Z.Z.[Zheng-Zhi], Wu, L.Z.[Li-Zhen],
Building global image features for scene recognition,
PR(45), No. 1, 2012, pp. 373-380.
Elsevier DOI 1410
Scene recognition BibRef

Shen, I.C., Cheng, W.H.,
Gestalt Rule Feature Points,
MultMed(17), No. 4, April 2015, pp. 526-537.
IEEE DOI 1503
Computational modeling. Features that are repeatable across styles (image, painting, sketch). BibRef

Perina, A.[Alessandro], Jojic, N.[Nebojsa],
Capturing Spatial Interdependence in Image Features: The Counting Grid, an Epitomic Representation for Bags of Features,
PAMI(37), No. 12, December 2015, pp. 2374-2387.
IEEE DOI 1512
BibRef
Earlier:
Capturing Layers in Image Collections with Componential Models: From the Layered Epitome to the Componential Counting Grid,
CVPR13(500-507)
IEEE DOI 1309
image representation. Bag of Words BibRef

Perina, A.[Alessandro], Cristani, M.[Marco], Murino, V.[Vittorio], Jojic, N.[Nebojsa],
Capturing Video Structure with Mixture of Probabilistic Index Maps,
MLMotion08(xx-yy). 0810
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Jojic, N., Caspi, Y.[Yaron],
Capturing Image Structure with Probabilistic Index Maps,
CVPR04(I: 212-219).
IEEE DOI 0408
BibRef

Petrovic, N.[Nemanja], Ivanovic, A.[Aleksandar], Jojic, N.[Nebojsa],
Recursive estimation of generative models of video,
CVPR06(I: 79-86).
IEEE DOI 0606
BibRef

Jojic, N.[Nebojsa], Petrovic, N.[Nemanja], Huang, T.S.,
Scene generative models for adaptive video fast forward,
ICIP03(II: 619-622).
IEEE DOI 0312
BibRef

Bai, S.[Song], Bai, X.[Xiang], Liu, W.,
Multiple Stage Residual Model for Image Classification and Vector Compression,
MultMed(18), No. 7, July 2016, pp. 1351-1362.
IEEE DOI 1608
data compression BibRef

Bai, S.[Song], Wang, X.G.[Xing-Gang], Yao, C.[Cong], Bai, X.[Xiang],
Multiple Stage Residual Model for Accurate Image Classification,
ACCV14(I: 430-445).
Springer DOI 1504
encoding local features. BibRef

Liang, L.M.[Lu-Ming], Wei, M.Q.[Ming-Qiang], Szymczak, A.[Andrzej], Pang, W.M.[Wai-Man], Wang, M.[Meng],
Spin Contour,
MultMed(18), No. 11, November 2016, pp. 2282-2292.
IEEE DOI 1609
feature extraction. Spin Images. BibRef

Ding, S.H.[Shou-Hong], Sheng, B.[Bin], Xie, Z.F.[Zhi-Feng], Ma, L.Z.[Li-Zhuang],
Intrinsic image estimation using near- L0 sparse optimization,
VC(33), No. 3, March 2017, pp. 355-369.
WWW Link. 1702
BibRef

Syed, S.A.[Sohaib Ali], Iqbal, M.Z.[Muhammad Zafar], Riaz, M.M.[Muhammad Mohsin],
Describing contrast across scales,
PandRS(128), No. 1, 2017, pp. 326-337.
Elsevier DOI 1706
Image descriptor. Using contrast as a feature. BibRef


Souri, Y.[Yaser], Noury, E.[Erfan], Adeli, E.[Ehsan],
Deep Relative Attributes,
ACCV16(V: 118-133).
Springer DOI 1704
BibRef

Girdhar, R.[Rohit], Fouhey, D.F.[David F.], Rodriguez, M.[Mikel], Gupta, A.[Abhinav],
Learning a Predictable and Generative Vector Representation for Objects,
ECCV16(VI: 484-499).
Springer DOI 1611
BibRef

Chakrabarti, A.[Ayan], Xiong, Y.[Ying], Gortler, S.J.[Steven J.], Zickler, T.E.[Todd E.],
Low-level vision by consensus in a spatial hierarchy of regions,
CVPR15(4009-4017)
IEEE DOI 1510
BibRef

Toussaint, G.T.[Godfried T.], Onea, N.S.[Noris S.], Vuong, Q.H.[Quan H.],
Measuring the complexity of two-dimensional binary patterns: Sub-symmetries versus Papentin complexity,
MVA15(480-483)
IEEE DOI 1507
Complexity theory BibRef

Hadji, I.[Isma], De Souza, G.N.[Guilherme N.],
Local-to-Global Signature Descriptor for 3D Object Recognition,
RoLoD14(570-584).
Springer DOI 1504
surface point classification together with signature-based features BibRef

Liang, K.M.[Kong-Ming], Chang, H.[Hong], Cui, Z.[Zhen], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Representation Learning with Smooth Autoencoder,
ACCV14(II: 72-86).
Springer DOI 1504
BibRef

Xu, C.[Can], Vasconcelos, N.M.[Nuno M.],
Learning Receptive Fields for Pooling from Tensors of Feature Response,
CVPR14(835-842)
IEEE DOI 1409
image classifcation; receptive fields; tensor BibRef

Gutmann, M.U.[Michael U.], Hyvarinen, A.[Aapo],
Learning a selectivity-invariance-selectivity feature extraction architecture for images,
ICPR12(918-921).
WWW Link. 1302
What to select and what to be invariant to. BibRef

Maier, A.[Andreas],
Accelerated Centre-of-Gravity Calculation for Massive Numbers of Image Patches,
ISVC12(I: 566-574).
Springer DOI 1209
BibRef

Dragon, R.[Ralf], Shoaib, M.[Muhammad], Rosenhahn, B.[Bodo], Ostermann, J.[Joern],
NF-Features: No-Feature-Features for Representing Non-textured Regions,
ECCV10(II: 128-141).
Springer DOI 1009
See also NIL. Regions with no interest points. For matching and alignment. See also HALF-SIFT: High-Accurate Localized Features for SIFT. BibRef

Knauer, U.,
Fast Computation of Region Homogeneity with Application in a Surveillance Task,
CloseRange10(xx-yy).
PDF File. 1006
BibRef

Gao, C.X.[Chang-Xin],
Evaluating the measurement scales of semantic features for remote sensing images retrieval,
CGC10(50).
PDF File. 1006
BibRef

Pires, B.R.[Bernardo Rodrigues], Moura, J.M.F.[Jose M.F.],
Shapes as empirical distributions,
ICIP09(401-404).
IEEE DOI 0911
BibRef

Matsakis, P.[Pascal],
Affine properties of the relative position PHI-descriptor,
ICPR16(1941-1946)
IEEE DOI 1705
Computational modeling, Computer science, Image color analysis, Marine vehicles, Pattern recognition, Shape, Visualization, affine transformation, computer vision, invariance, relative position, spatial relationship, visual, descriptor BibRef

Matsakis, P.[Pascal], Ni, J.B.[Jing-Bo], Veltman, M.[Melanie],
Directional relationships to a reference object: A quantitative approach based on force fields,
ICIP09(321-324).
IEEE DOI 0911
Image value based on degree it satisfies a relationship to an object. BibRef

Zemcík, P.[Pavel], Hradiš, M.[Michal], Herout, A.[Adam],
Exploiting Neighbors for Faster Scanning Window Detection in Images,
ACIVS10(II: 215-226).
Springer DOI 1012
BibRef

Herout, A.[Adam], Zemcik, P.[Pavel], Juranek, R.[Roman], Hradis, M.[Michal],
Implementation of the 'Local Rank Differences' Image Feature Using SIMD Instructions of CPU,
ICCVGIP08(450-457).
IEEE DOI 0812
BibRef

Polok, L.[Lukáš], Herout, A.[Adam], Zemcík, P.[Pavel], Hradiš, M.[Michal], Juránek, R.[Roman], Jošth, R.[Radovan],
'Local Rank Differences' Image Feature Implemented on GPU,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Labelle, G.[Gilbert], Lacasse, A.[Annie],
Discrete Versions of Stokes' Theorem Based on Families of Weights on Hypercubes,
DGCI09(229-239).
Springer DOI 0909
BibRef

Brlek, S.[Srecko], Labelle, G.[Gilbert], Lacasse, A.[Annie],
On Minimal Moment of Inertia Polyominoes,
DGCI08(xx-yy).
Springer DOI 0804
BibRef

Rosten, E.[Edward], Cox, S.[Susan],
Accurate Extraction of Reciprocal Space Information from Transmission Electron Microscopy Images,
ISVC06(I: 373-382).
Springer DOI 0611
methods which can be used to extract the position of features in diffraction patterns. BibRef

Kokiopoulou, E.[Effrosyni], Frossard, P.,
Pattern Detection by Distributed Feature Extraction,
ICIP06(2761-2764).
IEEE DOI 0610
BibRef

Nussbaum, S., Niemeyer, I., Canty, M.J.,
SEATH: A new tool for automated feature extraction in the context of object-based image analysis,
OBIA06(xx-yy).
PDF File. 0607
BibRef

Fasel, B.[Beat], Gatica-Perez, D.[Daniel],
Rotation-Invariant Neoperceptron,
ICPR06(III: 336-339).
IEEE DOI 0609
BibRef

Baloch, S.H., Krim, H., Kogan, I., Zenkov, D.,
Rotation Invariant Topology Coding of 2D and 3D Objects Using Morse Theory,
ICIP05(III: 796-799).
IEEE DOI 0512
BibRef

Han, D.I.[Dong-Il], You, B.J.[Bum-Jae], Oh, S.R.[Sang-Rok],
A Novel Shape Descriptor Based on Interrelation Quadruplet,
ICIAR04(I: 384-391).
Springer DOI 0409
BibRef

Chung, Y.C.[Yun-Chung], Wang, J.M.[Jung-Ming], Bailey, R.R., Chen, S.W.[Sei-Wang],
Physics-based extraction of intrinsic images from a single image,
ICPR04(IV: 693-696).
IEEE DOI 0409
BibRef

Luxen, M.[Marc],
Variance Component Estimation in Performance Characteristics Applied to Feature Extraction Procedures,
DAGM03(498-506).
Springer DOI 0310
BibRef

Felsberg, M.[Michael], Jonsson, E.[Erik],
Energy Tensors: Quadratic, Phase Invariant Image Operators,
DAGM05(493).
Springer DOI 0509
BibRef

Felsberg, M.[Michael], Sommer, G.[Gerald],
Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters,
ECCV02(I: 369 ff.).
Springer DOI 0205
BibRef
Earlier:
Structure Multivector for Local Analysis of Images,
WTRCV01(93). 0103
BibRef

Silva, R., Gomes, J., and Mota, C.[Cicero],
Geometric processing of Volumetric Objects,
WSCG01(II, 307-314). curvature operators, volumetric processing, non-linear processing, volumetric visualisation.
PDF File. BibRef 0100

Lei, B.J., Hendriks, E.A., Reinders, M.J.T.,
Detecting Generic Low-level Features in Images,
ICPR00(Vol III: 967-970).
IEEE DOI 0009
BibRef

Vaidya, V.G., Kaushal, R.,
Localization of Objects in Noisy Scenes for Robotics Applications Using Wigner Distribution,
MVA98(xx-yy). BibRef 9800

Kalocsai, P.,
Biologically Inspired Recognition Model with Extension Fields,
ICIP97(II: 450-453).
IEEE DOI BibRef 9700

Bailey, D.,
Detecting Regular Patterns Using Frequency Domain Self-Filtering,
ICIP97(I: 440-443).
IEEE DOI BibRef 9700

Baker, S.[Simon], Nayar, S.K.[Shree K.],
Optimal Weighting Functions for Feature Detection,
DARPA98(1059-1064). BibRef 9800

Redding, N., and Whatmough, R.,
Fitting Implicit Quartics for Use in Feature Extraction,
ICIP97(II: 410-413).
IEEE DOI BibRef 9700

Low, B.K., and Ibrahim, M.K.[Mohammad K.],
Towards a Cost-Effective Feature Detection System: Spatio-Temporal Approach,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Mohammad-Djafari, A., Khayi, Y., Sauer, K., and Cano, E.,
Reconstruction of the Shape of a Compact Object from Few Projections,
ICIP97(I: 165-168).
IEEE DOI BibRef 9700

Braeutigam, C., Garding, J., Eklundh, J.,
Seeing the Obvious,
ICPR96(I: 67-72).
IEEE DOI 9608
(Royal Institute of Technology, S) BibRef

Windeatt, T., Tebbs, R.,
Analytical Feature Extraction and Spectral Summation,
ICPR96(IV: 315-319).
IEEE DOI 9608
(Univ. of Surrey, UK) BibRef

Kupeev, K.Y.[Konstantin Y.],
On Significant Maxima Detection: A Fine-to-Coarse Algorithm,
ICPR96(II: 270-274).
IEEE DOI 9608
(Tel Aviv Univ., IL) Perceptual grouping.
PS File. BibRef

Kupeev, K.Y., and Wolfson, H.J.,
Perceptual Convexity,
SPIE(2573), San Diego, CA, 1995, pp. 125-136.
PS File. BibRef 9500

Lai, S.H., Vemuri, B.C.,
An O(N) Iterative Solution to the Poisson Equation in Low-Level Vision Problems,
CVPR94(9-14).
IEEE DOI BibRef 9400

Lutton, E., Martinez, P.,
A Genetic Algorithm for the Detection of 2D Geometric Primitives in Images,
ICPR94(A:526-528).
IEEE DOI BibRef 9400

Richards, W., Feldman, J., Jepson, A.D.,
From Features to Perceptual Categories,
BMVC92(xx-yy).
PDF File. 9209
What features are needed. BibRef

Vasiliev, A.A., Dadeshidze, V.V., Kompanets, I.N., Lunyakova, G.A., Sinigibsky, A.U.,
Optical pattern recognition using correlation procedure for rotation- and scale-invariant feature extraction,
ICPR88(II: 1260-1264).
IEEE DOI 8811
BibRef

Beaudet, P.R.,
Rotationally Invariant Image Operators,
ICPR78(579-583). BibRef 7800

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Shape Decomposition .


Last update:Nov 11, 2017 at 13:31:57