Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
International Journal of Computer Vision
Representation of similarity in three-dimensional object discrimination
Neural Computation
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Algorithm for Error-Tolerant Subgraph Isomorphism Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image-based object recognition in man, monkey and machine
Object recognition in man, monkey, and machine
Three-dimensional object recognition based on the combination of views
Object recognition in man, monkey, and machine
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic Models of Appearance for 3-D Object Recognition
International Journal of Computer Vision
A System for Person-Independent Hand Posture Recognition against Complex Backgrounds
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Appearance Models for Object Recognition
ECCV '96 Proceedings of the International Workshop on Object Representation in Computer Vision II
A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Class-Specific, Top-Down Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Recognition of Planar Object Classes
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
PersonSpotter - Fast and Robust System for Human Detection, Tracking and Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Representation is Representation of Similarities
Representation is Representation of Similarities
Image Parsing: Unifying Segmentation, Detection, and Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Combining Top-Down and Bottom-Up Segmentation
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 4 - Volume 04
Face authentication with Gabor information on deformable graphs
IEEE Transactions on Image Processing
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Computer Vision and Image Understanding
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We present a system for the automatic interpretation of cluttered scenes containing multiple partly occluded objects in front of unknown, complex backgrounds. The system is based on an extended elastic graph matching algorithm that allows the explicit modeling of partial occlusions. Our approach extends an earlier system in two ways. First, we use elastic graph matching in stereo image pairs to increase matching robustness and disambiguate occlusion relations. Second, we use richer feature descriptions in the object models by integrating shape and texture with color features. We demonstrate that the combination of both extensions substantially increases recognition performance. The system learns about new objects in a simple one-shot learning approach. Despite the lack of statistical information in the object models and the lack of an explicit background model, our system performs surprisingly well for this very difficult task. Our results underscore the advantages of view-based feature constellation representations for difficult object recognition problems.