Object Categorization: The Evolution of Object Categorization and the Challenge of Image Abstraction

作者: Sven J. Dickinson

DOI: 10.1017/CBO9780511635465.002

关键词: Content-based image retrievalComputer visionArtificial intelligenceObject modelBlocks worldObject (philosophy)Abstraction (linguistics)Cognitive neuroscience of visual object recognitionShape grammarComputer scienceCategorization

摘要: ion -at one extreme, the raw input image other a categorical shape model -betwen them, large representational gap ? -local appearance abstraction features map one-to-one to Figure 3: The evolution of object categorization over past four decades (see text for discussion). directly (one-to-one) occluding boundaries (separating figure from background) and surface discontinuities high-order volumetric parts making up models. results left many unsatisfied, as images objects were often contrived (including blocks world scenes), resulting systems unable deal with real imaged under conditions. Nevertheless, some very important principles emerged in 1970’s, which are being rediscovered by today’s community: 1. importance (e.g., contours) defining categories; 2. viewpoint-invariant, 3-D representations; 3. symmetry non-accidental relations fea-

参考文章(265)
C. Sminchisescu, A. Kanaujia, D. Metaxas, Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference computer vision and pattern recognition. ,vol. 2, pp. 1743- 1752 ,(2006) , 10.1109/CVPR.2006.169
A. Pentland, S. Sclaroff, Closed-form solutions for physically based shape modeling and recognition IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 13, pp. 715- 729 ,(1991) , 10.1109/34.85660
Xiaofeng Ren, C.C. Fowlkes, J. Malik, Scale-invariant contour completion using conditional random fields international conference on computer vision. ,vol. 2, pp. 1214- 1221 ,(2005) , 10.1109/ICCV.2005.213
J. Winn, N. Jojic, LOCUS: learning object classes with unsupervised segmentation international conference on computer vision. ,vol. 1, pp. 756- 763 ,(2005) , 10.1109/ICCV.2005.148
Atul Kanaujia, Cristian Sminchisescu, Dimitris Metaxas, Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction computer vision and pattern recognition. pp. 1- 8 ,(2007) , 10.1109/CVPR.2007.383341
D.J. Kriegman, J. Ponce, On recognizing and positioning curved 3-D objects from image contours IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 12, pp. 1127- 1137 ,(1990) , 10.1109/34.62602
Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker, Many-to-many Matching of Attributed Trees Using Association Graphs and Game Dynamics Lecture Notes in Computer Science. ,vol. 2059, pp. 583- 593 ,(2001) , 10.1007/3-540-45129-3_54
M. Kirby, L. Sirovich, Application of the Karhunen-Loeve procedure for the characterization of human faces IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 12, pp. 103- 108 ,(1990) , 10.1109/34.41390
Bastian Leibe, Bernt Schiele, Interleaved Object Categorization and Segmentation british machine vision conference. pp. 145- 161 ,(2003) , 10.1007/11414353_10
Gustavo Carneiro, Allan D Jepson, None, Flexible spatial models for grouping local image features computer vision and pattern recognition. ,vol. 2, pp. 747- 754 ,(2004) , 10.1109/CVPR.2004.1315239