4.8.4 Grouping, Figure-Ground, Background, Foreground

Herault, L., and Horaud, R.,
Figure-Ground Discrimination: A Combinatorial Approach,
PAMI(15), No. 9, September 1993, pp. 899-914.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9309
Earlier:
Figure-Ground Discrimination by Mean Field Annealing,
ECCV92(58-66).
WWW Version. Finding lines and curves in noisy edge images. BibRef

Spann, M.,
Figure/Ground Separation Using Stochastic Pyramid Relinking,
PR(24), No. 10, 1991, pp. 993-1002.
WWW Version. BibRef 9100

Everson, R., Knight, B.W., Sirovich, L.,
Separating Spatially Distributed Response to Stimulation from Background I: Optical Imaging,
BioCyber(77), No. 6, December 1997, pp. 407-417. 9801 BibRef

Amir, A.[Arnon], Lindenbaum, M.[Michael],
Ground from Figure Discrimination,
CVIU(76), No. 1, October 1999, pp. 7-18. BibRef 9910
Earlier: CVPR98(521-527).
IEEE Abstract. IEEE Top Reference.
WWW Version. See also Comments on ground from figure discrimination. BibRef

Zhang, J., Gao, J., Liu, J.,
Figure-Ground Separation by a Dynamical System,
IP(8), No. 1, January 1999, pp. 115-122.
WWW Version. BibRef 9901

Zhang, J.[Jun], Lin, J.H.[Jian-Hua],
Figure-ground separation by a neural dynamical system,
ICIP95(II: 615-618).
WWW Version. 9510 BibRef

Beyerer, J., Leon, F.P.,
Adaptive Separation of Random Lines and Background,
OptEng(37), No. 10, October 1998, pp. 2733-2741. 9810 BibRef

Caselles, V.[Vicent], Coll, B.[Bartomeu], Morel, J.M.[Jean-Michel],
Topographic Maps and Local Contrast Changes in Natural Images,
IJCV(33), No. 1, September 1999, pp. 5-27.
WWW Version. Topographic map: contrast invariant representation of the image. Occlusion/Transparency analysis of the image formation and analysis. BibRef 9909

Coll, B.[Bartomeu], Froment, J.[Jacques],
Topographic Maps of Color Images,
ICPR00(Vol III: 609-612).
WWW Version. 0009Way to represent an image -- segmentation. BibRef

Carvalho, B.[Bruno], Gau, C.J.[C. Jose], Herman, G.T.[Gabor T.], Kong, T.Y.[T. Yung],
Algorithms for Fuzzy Segmentation,
PAA(2), No. 1, 1999, pp. 73-81. BibRef 9900

Herman, G.T.[Gabor T.], Carvalho, B.M.[Bruno M.],
Multiseeded Segmentation Using Fuzzy Connectedness,
PAMI(23), No. 5, May 2001, pp. 460-474.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0105Segment an object from the background with noise. BibRef

Vernon, D.[David],
Fourier Vision: Segmentation and Velocity Measurement Using the Fourier Transform,
KluwerBoston, June 2001. ISBN 0-7923-7413-4.
WWW Version. BibRef 0106

Robles-Kelly, A.[Antonio], Hancock, E.R.[Edwin R.],
An Expectation-Maximisation Framework for Segmentation and Grouping,
IVC(20), No. 9-10, August 2002, pp. 725-738.
WWW Version. 0208 BibRef
Earlier: PercOrg01(xx-yy). 0106 Motion Segmentation. BibRef

Robles-Kelly, A.[Antonio], Hancock, E.R.[Edwin R.],
A Maximum Likelihood Framework for Grouping and Segmentation,
EMMCVPR02(251 ff.).
HTML Version. 0205 BibRef

Robles-Kelly, A., Hancock, E.R.,
Maximum likelihood motion segmentation using eigen-decomposition,
CIAP01(63-68).
IEEE Top Reference. 0210 BibRef

Robles-Kelly, A., Hancock, E.R.,
An EM-like Algorithm for Motion Segmentation via Eigendecomposition,
BMVC01(Poster Session 1).
HTML Version. University of York 0110 BibRef

Robles-Kelly, A., Bors, A.G., Hancock, E.R.,
Hierarchical Iterative Eigen Decomposition for Motion Segmentation,
ICIP01(II: 363-366).
IEEE Abstract. IEEE Top Reference. 0108 BibRef

Robles-Kelly, A.[Antonio], Hancock, E.R.[Edwin R.],
An Expectation-Maximisation Framework for Perceptual Grouping,
VF01(594 ff.).
HTML Version. 0209 BibRef

Kelly, A.R.[Antonio Robles], Hancock, E.R.[Edwin R.],
Perceptual Grouping using Eigendecomposition and the EM Algorithm,
SCIA01(O-Th1). 0206 BibRef

Robles-Kelly, A.[Antonio], Hancock, E.R.[Edwin R.],
A Maximum Likelihood Framework for Iterative Eigendecomposition,
ICCV01(I: 654-661).
WWW Version. 0106 BibRef

Robles-Kelly, A.A., Hancock, E.R.,
Grouping Line-segments using Eigenclustering,
BMVC00(xx-yy).
PDF Version. 0009 BibRef

Robles-Kelly, A.[Antonio], Hancock, E.R.[Edwin R.],
A probabilistic spectral framework for grouping and segmentation,
PR(37), No. 7, July 2004, pp. 1387-1405.
WWW Version. 0405Pairwise clustering and perceptual grouping. Model expressed in terms of two sets of parameters: cluster memberships which represent the affinity of objects to clusters and a matrix of link weights for pairs of tokens. BibRef

Rosin, P.L.[Paul L.],
Comments on 'ground from figure discrimination',
PRL(24), No. 15, November 2003, pp. 2761-2766.
WWW Version. 0308 See also Ground from Figure Discrimination. BibRef

Pavlidis, G.P.[George P.], Chamzas, C.[Christodoulos],
Compressing the background layer in compound images, using JPEG and data filling,
SP:IC(20), No. 5, June 2005, pp. 487-502.
WWW Version. 0506 BibRef

Pavlidis, G.P., Tsekeridou, S., Chamzas, C.,
JPEG-matched data filling of sparse images,
ICIP04(I: 493-496).
WWW Version. 0505 BibRef

Aguiar, P.M.Q., Moura, J.M.F.,
Figure-ground segmentation from occlusion,
IP(14), No. 8, August 2005, pp. 1109-1124.
WWW Version. 0508 BibRef

Chalmond, B., Francesconi, B., Herbin, S.,
Using Hidden Scale for Salient Object Detection,
IP(15), No. 9, August 2006, pp. 2644-2656.
WWW Version. 0608Scale and contrast interaction. First, spatial and contrast. BibRef

Koenderink, J.J.[Jan J.], van Doorn, A.[Andrea], Pont, S.[Sylvia], Richards, W.[Whitman],
Gestalt and phenomenal transparency,
JOSA-A(25), No. 1, January 2008, pp. 190-202.
WWW Version. 0801 BibRef

Burgess, A.E.[Arthur E.], Judy, P.F.[Philip F.],
Signal detection in power-law noise: effect of spectrum exponents,
JOSA-A(24), No. 12, December 2007, pp. B52-B60.
WWW Version. 0801Analyze backgrounds. BibRef

Reynolds, J.[Jordan], Murphy, K.[Kevin],
Figure-ground segmentation using a hierarchical conditional random field,
CRV07(175-182).
WWW Version. 0705 BibRef

Sun, J.[Jian], Zhang, W.W.[Wei-Wei], Tang, X.[Xiaoou], Shum, H.Y.[Heung-Yeung],
Background Cut,
ECCV06(II: 628-641).
WWW Version. 0608Real-time foreground layer extraction. Attenuate background contrast, leave foreground. BibRef

Ren, X.F.[Xiao-Feng], Fowlkes, C.C.[Charless C.], Malik, J.[Jitendra],
Figure/Ground Assignment in Natural Images,
ECCV06(II: 614-627).
WWW Version. 0608 BibRef

Bjorkman, M., Eklundh, J.O.,
Foveated Figure-Ground Segmentation and Its Role in Recognition,
BMVC05(xx-yy).
HTML Version. 0509 BibRef

Wang, J.[Jue], Cohen, M.F.[Michael F.],
Simultaneous Matting and Compositing,
CVPR07(1-8).
WWW Version. 0706 BibRef
Earlier:
An Iterative Optimization Approach for Unified Image Segmentation and Matting,
ICCV05(II: 936-943).
WWW Version. 0510foreground/background with partial pixels. BibRef

Cohen, S.[Scott],
Background Estimation as a Labeling Problem,
ICCV05(II: 1034-1041).
WWW Version. 0510 BibRef

Lee, W.[Woobeom], Kim, W.[Wookhyun],
Illusory Surface Perception Using a Hierarchical Neural Network Model of the Visual Pathways,
CAIP05(709).
WWW Version. 0509 BibRef

Cheng, J.[Jian], Yang, J.[Jie], Zhou, Y.[Yue],
A Novel Adaptive Gaussian Mixture Model for Background Subtraction,
IbPRIA05(I:587).
WWW Version. 0509 BibRef

Sakai, T.[Tomoya], Imiya, A.[Atsushi],
Figure Field Analysis of Linear Scale-Space Image,
ScaleSpace05(374-385).
WWW Version. 0505 BibRef

Kottow, D.[Daniel], Köppen, M.[Mario], Ruiz-del-Solar, J.[Javier],
A Background Maintenance Model in the Spatial-Range Domain,
SMVP04(141-152).
WWW Version. 0505Foreground/Background codebook descriptions. BibRef

Porikli, F.M.[Fatih M.],
Multiplicative Background-Foreground Estimation Under Uncontrolled Illumination using Intrinsic Images,
Motion05(II: 20-27).
WWW Version. 0502 BibRef

Stein, A.[Andrew], Hebert, M.[Martial],
Incorporating Background Invariance into Feature-Based Object Recognition,
WACV05(I: 37-44).
WWW Version. 0502Features from patches, how to exclude the background. BibRef

Al-Mazeed, A.H., Nixon, M.S., Gunn, S.R.,
Fusing Complementary Operators to Enhance Foreground/Background Segmentation,
BMVC03(xx-yy).
HTML Version. 0409 BibRef

Zhao, L.[Liang], Davis, L.S.,
Iterative figure-ground discrimination,
ICPR04(I: 67-70).
WWW Version. 0409 BibRef

Zivkovic, Z.,
Improved adaptive gaussian mixture model for background subtraction,
ICPR04(II: 28-31).
WWW Version. 0409 BibRef

Fraundorfer, F.[Friedrich], Bischof, H.[Horst],
Detecting Distinguished Regions by Saliency,
SCIA03(208-215).
WWW Version. 0310 BibRef

Yu, S.X., Shi, J.B.[Jian-Bo],
Object-specific figure-ground segregation,
CVPR03(II: 39-45).
IEEE Abstract. IEEE Top Reference. 0307 BibRef

Lamarre, M., Clark, J.J.,
Background subtraction using competing models in the block-DCT domain,
ICPR02(I: 299-302).
WWW Version. 0211 BibRef

Baek, K.[Kyungim], Draper, B.A.,
Factor analysis for background suppression,
ICPR02(II: 643-646).
WWW Version. 0211 BibRef

Yu, S.X.[Stella X.], Lee, T.S.[Tai Sing], Kanade, T.[Takeo],
A Hierarchical Markov Random Field Model for Figure-Ground Segregation,
EMMCVPR02(118 ff.).
HTML Version. 0205 BibRef

Hayman, E.[Eric], Eklundh, J.O.[Jan-Olof],
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation,
ECCV02(III: 469 ff.).
HTML Version. 0205 BibRef

Wexler, Y., Fitzgibbon, A.W., Zisserman, A.,
Bayesian Estimation of Layers from Multiple Images,
ECCV02(III: 487 ff.).
HTML Version. 0205To extract the foreground objects. (Blue screen technique.) BibRef

Riesenhuber, M.[Maximilian],
Generalization Over Contrast and Mirror Reversal, But not Figure-ground Reversal, in an Edge-based Model of IT Neurons,
MIT AIM-2001-034, December 2001.
WWW Version. 0205 BibRef

Yu, S.X.[Stella X.], Shi, J.B.[Jian-Bo],
Segmentation with Pairwise Attraction and Repulsion,
ICCV01(I: 52-58).
WWW Version. 0106Figure-Ground separation. BibRef

Keuchel, J., Schellewald, C., Cremers, D., Schnörr, C.,
Convex Relaxation for Figure-Ground Discrimination and Perceptual Grouping,
PercOrg01(353-360). 0106 BibRef
And:
Relaxations for Binary Image Partitioning and Perceptual Grouping,
DAGM01(353-360). Award, DAGM.
Postscript Version. BibRef

Andrade-Cetto, J.[Juan], Sanfeliu, A.[Alberto],
Integration of Perceptual Grouping and Depth,
ICPR00(Vol I: 295-298).
WWW Version.
HTML Version. 0009 BibRef

Giaccone, P.R., Tsaptsinos, D., Jones, G.A.,
Foreground-background Segmentation by Cellular Neural Networks,
ICPR00(Vol II: 438-441).
WWW Version.
HTML Version. 0009 BibRef

Pao, H., Geiger, D., Rubin, N.,
Measuring Convexity for Figure/Ground Separation,
ICCV99(948-955).
WWW Version. BibRef 9900

Geiger, D.[Davi], Kumaran, K.[Krishnan], Parida, L.[Laxmi],
Visual Organization for Figure/Ground Separation,
CVPR96(155-160).
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9600

Geiger, D., Kumaran, K.,
Visual Organization of Illusory Surfaces,
ECCV96(I:413-424).
WWW Version. Use occlusions to find the most salient contours. BibRef 9600

Stricker, M., Leonardis, A.,
Figure-Ground Segmentation Using Tabu Search,
SCV95(605-610).
IEEE Top Reference. Swiss Federal Institute of Technology. U. of Ljubljana. Compared with mean field annealing algorithm. BibRef 9500

Huang, Q.[Qian], Dam, B., Steele, D., Ashley, J., Niblack, W.,
Foreground/background segmentation of color images by integration of multiple cues,
ICIP95(I: 246-249).
WWW Version. 9510 BibRef

Heitger, F., and von der Heydt, R.[Rudiger],
A Computational Model of Neural Contour Processing: Figure-Ground Segregation and Illusory Contours,
ICCV93(32-40).
WWW Version. BibRef 9300

Shimaya, A., Yoroizawa, I.,
A Cognitive Model Of Figure Segregation,
IJCAI91(366-372). BibRef 9100

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Sensors for Machine Vision .