Shape Similarity Measure Based on Correspondence of Visual Parts
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Representation and Matching of Qualitative Shape at Multiple Scales
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Using Orientation Information for Qualitative Spatial Reasoning
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
An interval-based representation of temporal knowledge
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
Retrieving shapes efficiently by a qualitative shape descriptor: the scope histogram
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Retrieval by shape similarity with perceptual distance andeffective indexing
IEEE Transactions on Multimedia
Hi-index | 0.00 |
An approach for comparing qualitative descriptions of shape of objects is presented in this paper. A similarity factor between shapes is determined as the number of operations required for transforming one shape into another. The possible transformational operations are defined by conceptual neighbourhood diagrams (CND). Our approach has been tested using images from the MPEG-7 CE-Shape-1 library and results show that our similarity calculus is invariant to translations, rotations and dilations and that the values obtained are coherent from the point of view of human perception.