Breakout Session Report: Principles and Methods
暂无分享,去创建一个
[1] Pietro Perona,et al. A Factorization Approach to Grouping , 1998, ECCV.
[2] Ingemar J. Cox,et al. "Ratio regions": a technique for image segmentation , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[3] R. Nevatia,et al. Perceptual Organization for Scene Segmentation and Description , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Kaleem Siddiqi,et al. Parts of Visual Form: Computational Aspects , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Jitendra Malik,et al. Contour Continuity in Region Based Image Segmentation , 1998, ECCV.
[6] David W. Jacobs,et al. Space and Time Bounds on Indexing 3D Models from 2D Images , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Michael J. Black,et al. Mixture models for optical flow computation , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[8] Luc Van Gool,et al. Planar homologies as a basis for grouping and recognition , 1998, Image Vis. Comput..
[9] Kaleem Siddiqi,et al. Ligature Instabilities in the Perceptual Organization of Shape , 1999, Comput. Vis. Image Underst..
[10] Azriel Rosenfeld,et al. An Application of Relaxation Labeling to Line and Curve Enhancement , 1977, IEEE Transactions on Computers.
[11] Michael Lindenbaum,et al. A Generic Grouping Algorithm and Its Quantitative Analysis , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[12] David W. Jacobs,et al. Robust and Efficient Detection of Salient Convex Groups , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[13] David W. Jacobs. Robust and efficient detection of convex groups , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[14] Ramakant Nevatia,et al. Three-Dimensional Descriptions Based on the Analysis of the Invariant and Quasi-Invariant Properties of Some Curved-Axis Generalized Cylinders , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Irving Biederman,et al. Human image understanding: Recent research and a theory , 1985, Comput. Vis. Graph. Image Process..
[16] Jitendra Malik,et al. Normalized Cuts and Image Segmentation , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[17] William Grimson,et al. Object recognition by computer - the role of geometric constraints , 1991 .
[18] Ian H. Jermyn,et al. Globally optimal regions and boundaries , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[19] Robert Kohn,et al. Representation and self-similarity of shapes , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[20] Ramakant Nevatia,et al. Uncertain Reasoning and Learning for Feature Grouping , 1999, Comput. Vis. Image Underst..
[21] David J. Field,et al. Contour integration by the human visual system: Evidence for a local “association field” , 1993, Vision Research.
[22] Jitendra Malik,et al. Textons, contours and regions: cue integration in image segmentation , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[23] Mary Henle,et al. Vision and artifact , 1977 .
[24] Joachim M. Buhmann,et al. Unsupervised Texture Segmentation in a Deterministic Annealing Framework , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[25] Ronen Basri,et al. Completion Energies and Scale , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[26] Richard M. Leahy,et al. An Optimal Graph Theoretic Approach to Data Clustering: Theory and Its Application to Image Segmentation , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[27] Yair Weiss,et al. Segmentation using eigenvectors: a unifying view , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[28] R. Basri,et al. The role of convexity in perceptual completion: beyond good continuation , 1999, Vision Research.
[29] Kim L. Boyer,et al. Integration, Inference, and Management of Spatial Information Using Bayesian Networks: Perceptual Organization , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[30] M. Wertheimer. Laws of organization in perceptual forms. , 1938 .
[31] Steven W. Zucker,et al. Trace Inference, Curvature Consistency, and Curve Detection , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[32] Song-Chun Zhu,et al. Embedding Gestalt Laws in Markov Random Fields , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[33] Edward M. Riseman,et al. Computing curvilinear structure by token-based grouping , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[34] James Elder,et al. The effect of contour closure on the rapid discrimination of two-dimensional shapes , 1993, Vision Research.
[35] Thomas O. Binford,et al. Inferring Surfaces from Images , 1981, Artif. Intell..
[36] David Mumford,et al. The 2.1-D sketch , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[37] Kim L. Boyer,et al. Quantitative measures of change based on feature organization: eigenvalues and eigenvectors , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[38] Alan L. Yuille,et al. Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours , 1998, NIPS.
[39] Eric Saund. Identifying salient circular arcs on curves , 1993 .
[40] Radu Horaud,et al. Figure-Ground Discrimination: A Combinatorial Optimization Approach , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[41] S. Palmer. Vision Science : Photons to Phenomenology , 1999 .
[42] Kris Popat,et al. Cluster-based probability model and its application to image and texture processing , 1997, IEEE Trans. Image Process..
[43] I Kovács,et al. A closed curve is much more than an incomplete one: effect of closure in figure-ground segmentation. , 1993, Proceedings of the National Academy of Sciences of the United States of America.
[44] Shimon Ullman,et al. Structural Saliency: The Detection Of Globally Salient Structures using A Locally Connected Network , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[45] Rüdiger von der Heydt,et al. A computational model of neural contour processing: Figure-ground segregation and illusory contours , 1993, 1993 (4th) International Conference on Computer Vision.
[46] Davi Geiger,et al. Illusory surface perception and visual organization. , 1996, Network.
[47] Kim L. Boyer,et al. Quantitative Measures of Change Based on Feature Organization: Eigenvalues and Eigenvectors , 1998, Comput. Vis. Image Underst..
[48] Steven W. Zucker,et al. Computing Contour Closure , 1996, ECCV.
[49] Kaleem Siddiqi,et al. The Hamilton-Jacobi skeleton , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[50] Edward H. Adelson,et al. A unified mixture framework for motion segmentation: incorporating spatial coherence and estimating the number of models , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[51] David G. Lowe,et al. Perceptual Organization and Visual Recognition , 2012 .
[52] D. Mumford. Elastica and Computer Vision , 1994 .
[53] Ramakant Nevatia,et al. Building Detection and Description from a Single Intensity Image , 1998, Comput. Vis. Image Underst..
[54] Andrew Zisserman,et al. Viewpoint-invariant representation of generalized cylinders using the symmetry set , 1995, Image Vis. Comput..
[55] C. Bajaj. Algebraic Geometry and its Applications , 1994 .
[56] Lance R. Williams,et al. Stochastic Completion Fields: A Neural Model of Illusory Contour Shape and Salience , 1997, Neural Computation.
[57] P Perona,et al. Preattentive texture discrimination with early vision mechanisms. , 1990, Journal of the Optical Society of America. A, Optics and image science.
[58] Sudeep Sarkar,et al. A Framework for Performance Characterization of Intermediate-Level Grouping Modules , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[59] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[60] Leif H. Finkel,et al. Object Discrimination Based on Depth-from-Occlusion , 1992, Neural Computation.
[61] Mihran Tüceryan,et al. Segmentation and grouping of object boundaries using energy minimization , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[62] Harpreet S. Sawhney,et al. Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encoding , 1995, Proceedings of IEEE International Conference on Computer Vision.
[63] Lance R. Williams,et al. Local Parallel Computation of Stochastic Completion Fields , 1997, Neural Computation.
[64] Allen R. Hanson,et al. Perceptual Completion of Occluded Surfaces , 1996, Comput. Vis. Image Underst..
[65] Andrew Zisserman,et al. Geometric Grouping of Repeated Elements within Images , 1998, BMVC.
[66] Joachim M. Buhmann,et al. Non-parametric similarity measures for unsupervised texture segmentation and image retrieval , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[67] Walter Gerbino,et al. Convexity and Symmetry in Figure-Ground Organization , 1976 .