Experiments in quadratic 0-1 programming
Mathematical Programming: Series A and B
International Journal of Computer Vision
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
3D object recognition using invariance
Artificial Intelligence - Special volume on computer vision
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Simple Algorithm for Nearest Neighbor Search in High Dimensions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding Waldo, or Focus of Attention Using Local Color Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Recognizing 3D objects using photometric invariant
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Color constancy under varying illumination
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
3D Object Recognition from Color Intensity Images
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
A versatile computer-controlled assembly system
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
Computing illumination-invariant descriptors of spatially filtered color image regions
IEEE Transactions on Image Processing
Finding semantic structures in image hierarchies using Laplacian graph energy
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
P2Π: a minimal solution for registration of 3D points to 3D planes
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Vectorized image segmentation via trixel agglomeration
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
A Theory of Minimal 3D Point to 3D Plane Registration and Its Generalization
International Journal of Computer Vision
Maximal cliques based rigid body motion segmentation with a RGB-D camera
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
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We introduce a new algorithm for identifying objects in cluttered images, based on approximate subgraph matching. This algorithm is robust under moderate variations in the camera viewpoints. In other words, it is expected to recognize an object (whose model is derived from a template image) in a search image, even when the cameras of the template and search images are substantially different. The algorithm represents the objects in the template and search images by weighted adjacency graphs. Then the problem of recognizing the template object in the search image is reduced to the problem of approximately matching the template graph as a subgraph of the search image graph. The matching procedure is somewhat insensitive to minor graph variations, thus leading to a recognition algorithm which is robust with respect to camera variations.