Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Shape representation and recognition from multiscale curvature
Computer Vision and Image Understanding
3D free-form object recognition using indexing by contour features
Computer Vision and Image Understanding
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
3D Object recognition in cluttered environments by segment-based stereo vision
International Journal of Computer Vision
Silhouette-Based Isolated Object Recognition through Curvature Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning a Sparse Representation for Object Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Fast retrieval of isolated visual shapes
Computer Vision and Image Understanding
Object Recognition Using Appearance-Based Parts and Relations
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Improving Appearance-Based Object Recognition in Cluttered Backgrounds
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
3-D Structures for Generic Object Recognition
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Geometry-based Automatic Object Localization and 3-D Pose Detection
SSIAI '02 Proceedings of the Fifth IEEE Southwest Symposium on Image Analysis and Interpretation
A hierarchy of boundary-based shape descriptors
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Journal of Visual Communication and Image Representation
Comparison of detailed descriptors for noisy silhouettes
Machine Graphics & Vision International Journal
Shape matching using coarse descriptors
International Journal of Computational Vision and Robotics
Matching noisy outline contours using a descriptor reduction approach
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
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A new method to obtain a rough description of a 3-D object from its outline shape is presented in this paper. Firstly the outline shape is split up into parts that are related in a connectivity graph. The boundary features of every part (lines, curves) and the information about its junction with other parts are extracted in order to provide a semantic content to the outline shape graph. A specific language to describe this graph has been developed. Finally, some results obtained applying our approach over real images are presented and discussed.