Improving the generalized Hough transform through imperfect grouping
暂无分享,去创建一个
[1] W. Eric L. Grimson,et al. On the Sensitivity of the Hough Transform for Object Recognition , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[2] William Feller,et al. An Introduction to Probability Theory and Its Applications , 1967 .
[3] David W. Jacobs,et al. Space and Time Bounds on Indexing 3D Models from 2D Images , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[4] A. Witkin,et al. On the Role of Structure in Vision , 1983 .
[5] Clark F. Olson,et al. Decomposition of the Hough Transform: Curve Detection with Efficient Error Propagation , 1996, ECCV.
[6] W. Eric L. Grimson,et al. On the Verification of Hypothesized Matches in Model-Based Recognition , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[7] 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.
[8] E. R. Davies. A framework for designing optimal Hough transform implementations , 1992, Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis,.
[9] Michel Dhome,et al. Polyhedra Recognition by Hypothesis Accumulation , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Dana H. Ballard,et al. Generalizing the Hough transform to detect arbitrary shapes , 1981, Pattern Recognit..
[11] Kim L. Boyer,et al. Perceptual organization in computer vision: a review and a proposal for a classificatory structure , 1993, IEEE Trans. Syst. Man Cybern..
[12] Charles M. Grinstead,et al. Introduction to probability , 1999, Statistics for the Behavioural Sciences.
[13] J. Canny. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] David Harwood,et al. An iterative hough procedure for three-dimensional object recognition , 1984, Pattern Recognit..
[15] Clark F. Olson. On the speed and accuracy of object recognition when using imperfect grouping , 1995, Proceedings of International Symposium on Computer Vision - ISCV.
[16] D. Jacobs. Space Efficient 3D Model Indexing , 1992 .
[17] Thomas M. Breuel,et al. Fast recognition using adaptive subdivisions of transformation space , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[18] R. Nevatia,et al. Perceptual Organization for Scene Segmentation and Description , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[19] David W. Jacobs,et al. Robust and Efficient Detection of Salient Convex Groups , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[20] W. Eric L. Grimson,et al. On the sensitivity of geometric hashing , 1990, [1990] Proceedings Third International Conference on Computer Vision.
[21] Todd A. Cass,et al. Polynomial-Time Object Recognition in the Presence of Clutter, Occlusion, and Uncertainty , 1992, ECCV.
[22] Larry S. Davis,et al. Pose Determination of a Three-Dimensional Object Using Triangle Pairs , 1988, IEEE Trans. Pattern Anal. Mach. Intell..
[23] D. W. Thompson,et al. Three-dimensional model matching from an unconstrained viewpoint , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.
[24] Yehezkel Lamdan,et al. Affine invariant model-based object recognition , 1990, IEEE Trans. Robotics Autom..
[25] W. Eric L. Grimson,et al. The Combinatorics Of Object Recognition In Cluttered Environments Using Constrained Search , 1988, [1988 Proceedings] Second International Conference on Computer Vision.
[26] Larry S. Davis,et al. Object recognition using oriented model points , 1986 .
[27] George C. Stockman,et al. Matching Images to Models for Registration and Object Detection via Clustering , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] W. Eric L. Grimson,et al. A Study of Affine Matching With Bounded Sensor Error , 1992, ECCV.
[29] George C. Stockman,et al. Object recognition and localization via pose clustering , 1987, Comput. Vis. Graph. Image Process..
[30] Narendra Ahuja,et al. Extraction of early perceptual structure in dot patterns: Integrating region, boundary, and component gestalt , 1989, Comput. Vis. Graph. Image Process..
[31] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[32] Daniel P. Huttenlocher,et al. Finding convex edge groupings in an image , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[33] Feller William,et al. An Introduction To Probability Theory And Its Applications , 1950 .
[34] Richard A. Volz,et al. Recognizing Partially Occluded Parts , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Clark F. Olson. Probabilistic Indexing for Object Recognition , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[36] W. Eric L. Grimson,et al. Recognizing 3D objects from 2D images: an error analysis , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[37] David G. Lowe,et al. Perceptual Organization and Visual Recognition , 2012 .