Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Combinatorial Geometry for Shape Representation and Indexing
ECCV '96 Proceedings of the International Workshop on Object Representation in Computer Vision II
Estimating Human Body Configurations Using Shape Context Matching
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Recognizing and Tracking Human Action
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Recognition, Tracking, and Reconstruction of Human Motion
AMDO '02 Proceedings of the Second International Workshop on Articulated Motion and Deformable Objects
Size Functions for Image Retrieval: A Demonstrator on Randomly Generated Curves
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Independent shape component-based human activity recognition via Hidden Markov Model
Applied Intelligence
Shape representation and classification using the Poisson equation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
2D-shape analysis using conformal mapping
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Modelling postures of human movements
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Generic object class detection using boosted configurations of oriented edges
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
A complete keypics experiment with size functions
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Shape-Based Object Detection via Boundary Structure Segmentation
International Journal of Computer Vision
The multi angular descriptor (MAD): a binary and gray images descriptor for shape recognition
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
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We propose a general method for finding pointwise correspondence between 2-D shapes based on the concept of order structure and using geometric hashing. The problem of finding correspondence and the problem of establishing shape equivalence can be considered as one and the same problem. Given shape equivalence, we can in general and pointwise correspondence and the existence of a unambiguous correspondence mapping can be used as a rule for deciding shape equivalence. As a measure of shape equivalence we will use the concept of order structure which in principle can be defined for arbitrary geometric configurations such as points lines and curves. The order structure equivalence of subsets of points and tangent directions of a shape is will be used to establish pointwise correspondence. The finding of correspondence between different views of the same object and different instances of the same object category can be used as a foundation for establishment and recognition of visual categories.