Structural Indexing: Efficient 2D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A hierarchical approach to efficient curvilinear object searching
Computer Vision and Image Understanding
Finding Pictures of Objects in Large Collections of Images
ECCV '96 Proceedings of the International Workshop on Object Representation in Computer Vision II
Object Recognition by Matching Symbolic Edge Graphs
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
Distance sets for shape filters and shape recognition
IEEE Transactions on Image Processing
Weighting visual features with pseudo relevance feedback for CBIR
Proceedings of the ACM International Conference on Image and Video Retrieval
A fuzzy set approach for shape-based image annotation
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Hi-index | 0.00 |
This paper presents an image retrieval system based on 2D shape information. Query shape objects and database images are represented by polygonal approximations of their contours. Afterwards they are encoded, using geometric features, in terms of predefined structures. Shapes are then located in database images by a voting procedure on the spatial domain. Then an alignment matching provides a probability value to rank de database image in the retrieval result. The method allows to detect a query object in database images even when they contain complex scenes. Also the shape matching tolerates partial occlusions and affine transformations as translation, rotation or scaling.