Recognizing solid objects by alignment with an image
International Journal of Computer Vision
The space envelope: a representation for 3D scenes
Computer Vision and Image Understanding - Special issue on CAD-based computer vision
Structural Matching in Computer Vision Using Probabilistic Relaxation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Object Recognition by Geometric Hashing
ECCV '90 Proceedings of the First European Conference on Computer Vision
Robust analysis of feature spaces: color image segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Recognition of two dimensional objects based on a novel generalized Hough transform method
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
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We address the problem of object recognition in computer vision. We propose an invariant representation of the model and scene in the form of Attributed Relational Graph with focus on region based measurements rather than purely interest points. This approach enhances the stability of scene image representation in the presence of noise and significant scaling. Improved solution is achieved by employing a multiple region representation at each node of the ARG.The matching of scene and model ARGs is accomplished using probabilistic relaxation that has been modified to cope with multiple scene representation. The preliminary results obtained in experiments with real data are encouraging.