Model-Based Object Recognition - A Survey of Recent Research
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[1] F. Attneave. Some informational aspects of visual perception. , 1954, Psychological review.
[2] Marvin Minsky,et al. A framework for representing knowledge , 1974 .
[3] Marvin Minsky,et al. A framework for representing knowledge" in the psychology of computer vision , 1975 .
[4] Les Kitchen,et al. Relaxation Applied to Matching Quantitative Relational Structures , 1978 .
[5] D. Marr,et al. Representation and recognition of the spatial organization of three-dimensional shapes , 1978, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[6] Linda G. Shapiro,et al. A Structural Model of Shape , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Robert C. Bolles,et al. Locating Partially Visible Objects: The Local Feature Focus Method , 1980, AAAI.
[8] Robert M. Haralick,et al. Structural Descriptions and Inexact Matching , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Rodney A. Brooks,et al. Symbolic Reasoning Among 3-D Models and 2-D Images , 1981, Artif. Intell..
[10] Thomas O. Binford,et al. Survey of Model-Based Image Analysis Systems , 1982 .
[11] R. Bolles,et al. Recognizing and Locating Partially Visible Objects: The Local-Feature-Focus Method , 1982 .
[12] M. Brady. Criteria for Representations of Shape , 1983 .
[13] Rodney A. Brooks,et al. Model-Based Three-Dimensional Interpretations of Two-Dimensional Images , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Olivier D. Faugeras,et al. Shape Matching of Two-Dimensional Objects , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Ramesh C. Jain,et al. Three-dimensional object recognition , 1985, CSUR.
[16] Andrew K. C. Wong,et al. Entropy and Distance of Random Graphs with Application to Structural Pattern Recognition , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Michael Brady,et al. The Curvature Primal Sketch , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Charles R. Dyer,et al. Model-based recognition in robot vision , 1986, CSUR.
[19] Olivier D. Faugeras,et al. HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Michael Brady,et al. Generating and Generalizing Models of Visual Objects , 1987, Artif. Intell..
[21] Chris Goad,et al. Special purpose automatic programming for 3D model-based vision , 1987 .
[22] David G. Lowe,et al. Three-Dimensional Object Recognition from Single Two-Dimensional Images , 1987, Artif. Intell..
[23] James V. Mahoney,et al. Image Chunking: Defining Spatial Building Blocks for Scene Analysis , 1987 .
[24] Jezekiel Ben-Arie,et al. 3D objects recognition by optimal matching search of multinary relations graphs , 1987, Comput. Vis. Graph. Image Process..
[25] Yehezkel Lamdan,et al. Object recognition by affine invariant matching , 2011, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.
[26] Gil J. Ettinger,et al. Large hierarchical object recognition using libraries of parameterized model sub-parts , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.
[27] Eric Saund,et al. The role of knowledge in visual shape representation , 1988 .
[28] D. Huttenlocher. Three-Dimensional Recognition of Solid Objects from a Two- Dimensional Image , 1988 .
[29] Trevor N. Mudge,et al. Efficient Recognition of Partially Visible Objects Using a Logarithmic Complexity Matching Technique , 1989, Int. J. Robotics Res..
[30] D. Lowe. Fitting Parameterized 3-D Models to Images , 1989 .
[31] Thomas C. Henderson,et al. CAGD-Based Computer Vision , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[32] Jake K. Aggarwal,et al. Recent progress in object recognition from range data , 1989, Image Vis. Comput..
[33] S. Ullman. Aligning pictorial descriptions: An approach to object recognition , 1989, Cognition.
[34] Alan K. Mackworth,et al. Computer-Vision Update , 1989 .
[35] Avinash C. Kak,et al. A robot vision system for recognizing 3D objects in low-order polynomial time , 1989, IEEE Trans. Syst. Man Cybern..
[36] Marc Rioux,et al. Recognition and Shape Synthesis of 3-D Objects Based on Attributed Hypergraphs , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[37] D. Jacobs. Grouping for Recognition , 1989 .
[38] Wesley E. Snyder,et al. Matching oversegmented 3D images to models using association graphs , 1989, Image Vis. Comput..
[39] Jakub Segen. Model learning and recognition of nonrigid objects , 1989, Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[40] Yehezkel Lamdan,et al. Affine invariant model-based object recognition , 1990, IEEE Trans. Robotics Autom..
[41] Eric Saund,et al. Symbolic Construction of a 2-D Scale-Space Image , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[42] Radu Horaud,et al. Finding Geometric and Relational Structures in an Image , 1990, ECCV.
[43] William Grimson,et al. Object recognition by computer - the role of geometric constraints , 1991 .
[44] T. Poggio,et al. A network that learns to recognize three-dimensional objects , 1990, Nature.
[45] W. Eric L. Grimson,et al. On the Sensitivity of the Hough Transform for Object Recognition , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[46] Thomas M. Breuel. Indexing for Visual Recognition from a Large Model Base , 1990 .
[47] Alistair J. Bray. Object Recognition Using Local Geometric Constraints: A Robust Alternative To Tree-Search , 1990, ECCV.
[48] J. McCafferty. Human and machine vision: computing perceptual organisation , 1990 .
[49] T. Fan. Describing and Recognizing 3-D Objects Using Surface Properties , 1989, Springer Series in Perception Engineering.
[50] Jezekiel Ben-Arie. The Probabilistic Peaking Effect of Viewed Angles and Distances with Application to 3-D Object Recognition , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[51] Thomas M. Strat,et al. Context-Based Vision: Recognizing Objects Using Information from Both 2D and 3D Imagery , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[52] David A. Forsyth,et al. Invariant Descriptors for 3D Object Recognition and Pose , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[53] L. Stark,et al. Dissertation Abstract , 1994, Journal of Cognitive Education and Psychology.
[54] Satoshi Okada,et al. Robot Vision Using a Feature Search Strategy Generated from a 3D Oobject Model , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[55] David W. Jacobs,et al. Model group indexing for recognition , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[56] Roberto Brunelli,et al. HyperBF Networks for Real Object Recognition , 1991, IJCAI.
[57] W. Eric L. Grimson,et al. On the Verification of Hypothesized Matches in Model-Based Recognition , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[58] Ronen Basri,et al. Recognition by Linear Combinations of Models , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[59] Peter C. Wayner,et al. Efficiently using invariant theory for model-based matching , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[60] Todd A. Cass,et al. Polynomial-Time Object Recognition in the Presence of Clutter, Occlusion, and Uncertainty , 1992, ECCV.
[61] 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.
[62] David A. Forsyth,et al. Recognising rotationally symmetric surfaces from their outlines , 1992, ECCV.
[63] Edward M. Riseman,et al. Matching complex images to multiple 3D objects using view description networks , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[64] S. Edelman,et al. Orientation dependence in the recognition of familiar and novel views of three-dimensional objects , 1992, Vision Research.
[65] E. K. WONG,et al. Model matching in robot vision by subgraph isomorphism , 1992, Pattern Recognit..
[66] Prasanna G. Mulgaonkar,et al. Automatic vision programming , 1992, CVGIP Image Underst..
[67] Sven J. Dickinson,et al. Unified approach to the recognition of expected and unexpected geon-based objects , 1992, Defense, Security, and Sensing.
[68] R. Nevatia,et al. Perceptual Organization for Scene Segmentation and Description , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[69] Roberto Brunelli,et al. Face Recognition through Geometrical Features , 1992, ECCV.
[70] D. Jacobs. Space Efficient 3D Model Indexing , 1992 .
[71] Azriel Rosenfeld,et al. 3-D Shape Recovery Using Distributed Aspect Matching , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[72] Eric Saund,et al. Putting Knowledge Into a Visual Shape Representation , 1992, Artif. Intell..
[73] Gérard G. Medioni,et al. Structural Indexing: Efficient 3-D Object Recognition , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[74] Shimon Ullman,et al. Limitations of Non Model-Based Recognition Schemes , 1992, ECCV.
[75] Pascal Fua,et al. Computational strategies for object recognition , 1992, CSUR.
[76] Robert Bergevin,et al. Extraction of line drawing features for object recognition , 1992, Pattern Recognit..
[77] Shimon Edelman,et al. Bringing the Grandmother back into the Picture: A Memory-Based View of Object Recognition , 1990, Int. J. Pattern Recognit. Artif. Intell..
[78] Patrick J. Flynn. Saliencies and symmetries: toward 3D object recognition from large model databases , 1992, CVPR.
[79] Geoffrey D. Sullivan,et al. Using Automatically Constructed View-Independent Relational Model in 3D Object Recognition , 1992, ECCV.
[80] Takeo Kanade,et al. Model based recognition of specular objects using sensor models , 1992, CVGIP Image Underst..
[81] Gaile G. Gordon,et al. Face recognition based on depth and curvature features , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[82] Robert M. Haralick,et al. Object Recognition Using Prediction And Probabilistic Match , 1992, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems.
[83] Farzin Mokhtarian,et al. A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[84] Kim L. Boyer,et al. Integration, Inference, and Management of Spatial Information Using Bayesian Networks: Perceptual Organization , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[85] Thomas M. Breuel,et al. Higher-order statistics in object recognition , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[86] Geoffrey D. Sullivan,et al. The Automatic Construction of a View-Independent Relational Model for 3-D Object Recognition , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[87] W. Eric L. Grimson,et al. Gaussian error models for object recognition , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[88] Robert A. Hummel,et al. Distributed Bayesian object recognition , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[89] Robert Bergevin,et al. Generic Object Recognition: Building and Matching Coarse Descriptions from Line Drawings , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[90] Narendra Ahuja,et al. Learning recognition and segmentation of 3-D objects from 2-D images , 1993, 1993 (4th) International Conference on Computer Vision.
[91] Kim L. Boyer,et al. Information theoretic clustering of large structural modelbases , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[92] A. Pathak,et al. Bayesian view class determination , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[93] Ronen Basri,et al. Recognition by prototypes , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[94] William Wells,et al. Statistical object recognition , 1993 .
[95] Tanveer F. Syeda-Mahmood,et al. Attentional selection in object recognition , 1993 .
[96] S. Nayar,et al. Learning and Recognition of 3-D Objects from Brightness Images * , 1993 .
[97] J.B. Burns,et al. View Variation of Point-Set and Line-Segment Features , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[98] Kevin W. Bowyer,et al. Computing the Perspective Projection Aspect Graph of Solids of Revolution , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[99] David G. Lowe,et al. Learning indexing functions for 3-D model-based object recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[100] Emanuele Trucco,et al. Geometric Invariance in Computer Vision , 1995 .