An Efficiently Computable Metric for Comparing Polygonal Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parts of Visual Form: Computational Aspects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Convexity rule for shape decomposition based on discrete contour evolution
Computer Vision and Image Understanding
Shape Similarity Measure Based on Correspondence of Visual Parts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Planar Object Classes
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Shape based digital image similarity retrieval
Shape based digital image similarity retrieval
Distance sets for shape filters and shape recognition
IEEE Transactions on Image Processing
Shape retrieval using triangle-area representation and dynamic space warping
Pattern Recognition
Knowledge-based part correspondence
Pattern Recognition
A fast evaluation criterion for the recognition of occluded shapes
Robotics and Autonomous Systems
Analysis of Two-Dimensional Non-Rigid Shapes
International Journal of Computer Vision
Detection and recognition of contour parts based on shape similarity
Pattern Recognition
Reasoning Web
Topology-Invariant Similarity of Nonrigid Shapes
International Journal of Computer Vision
Partial Similarity of Objects, or How to Compare a Centaur to a Horse
International Journal of Computer Vision
Farthest point distance: A new shape signature for Fourier descriptors
Image Communication
Recognition of Occluded Shapes Using Size Functions
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Paretian similarity for partial comparison of non-rigid objects
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
An approach to perceptual shape matching
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
Flexible shape-based query rewriting
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Invariant curvature-based Fourier shape descriptors
Journal of Visual Communication and Image Representation
Hi-index | 0.01 |
Humans are able to recognize objects in the presence of significant amounts of occlusion and changes in the view angle. In human and robot vision, these conditions are normal situations and not exceptions. In digital images one more problem occurs due to unstable outcomes of the segmentation algorithms. Thus, a normal case is that a given shape is only partially visible, and the visible part is distorted. To our knowledge there does not exist a shape representation and similarity approach that could work under these conditions. However, such an approach is necessary to solve the object recognition problem. The main contribution of this paper is the definition of an optimal partial shape similarity measure that works under these conditions. In particular, the presented novel approach to shape-based object recognition works even if only a small part of a given object is visible and the visible part is significantly distorted, assuming the visible part is distinctive.