A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing solid objects by alignment with an image
International Journal of Computer Vision
Boundary Smoothing via Symmetry Transforms
Journal of Mathematical Imaging and Vision
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Silhouette-Based Isolated Object Recognition through Curvature Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval Using Fourier Descriptors on a Logo Database
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new content based image retrieval method based on a sketch-driven interpretation of line segments
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
3-D chamfer distances and norms in anisotropic grids
Image and Vision Computing
Shape context and chamfer matching in cluttered scenes
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
A framework for hand-based interaction
Proceedings of the 13th International Conference on Humans and Computers
Real-time viewpoint-invariant hand localization with cluttered backgrounds
Image and Vision Computing
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We present in this paper an elephant photo identification system based on the shape comparison of the nicks characterizing the elephants' ears. The method we propose can deal with very cluttered and noisy images as the ones commonly used by zoologists for wild elephant photo identification. Difficult segmentation problems are solved using rough position information input by the user. Such information is used by the system as a basis for a set of segmentation and normalization hypotheses aiming at comparing a query photo Q with different photos of the system's database possibly representing the same individual as Q. The proposed shape comparison method, based on matching multiple, non-connected curves, can be applied to different retrieval by shape problems. Examples with real wild elephant photos are shown.