Feature extraction from faces using deformable templates
International Journal of Computer Vision
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
International Journal of Computer Vision
Leaf Image Retrieval with Shape Features
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Automatic Recognition of Blooming Flowers
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Representation and Detection of Deformable Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information-Theoretic Active Polygons for Unsupervised Texture Segmentation
International Journal of Computer Vision
Narrow band region-based active contours and surfaces for 2D and 3D segmentation
Computer Vision and Image Understanding
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
IEEE Transactions on Image Processing
Matching shapes with self-intersections: application to leaf classification
IEEE Transactions on Image Processing
Advanced shape context for plant species identification using leaf image retrieval
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
A combined multi-scale/irregular algorithm for the vectorization of noisy digital contours
Computer Vision and Image Understanding
A shape-based approach for leaf classification using multiscaletriangular representation
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Proceedings of the 21st ACM international conference on Multimedia
Understanding leaves in natural images - A model-based approach for tree species identification
Computer Vision and Image Understanding
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In this paper we present a system for tree leaf segmentation in natural images that combines a first, unrefined segmentation step, with an estimation of descriptors depicting the general shape of a simple leaf. It is based on a light polygonal model, built to represent most of the leaf shapes, that will be deformed to fit the leaf in the image. Avoiding some classic obstacles of active contour models, this approach gives promising results, even on complex natural photographs, and constitutes a solid basis for a leaf recognition process.