Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Model-Based Interactive Flower Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Fourier Descriptors for Plane Closed Curves
IEEE Transactions on Computers
Interactive learning of heterogeneous visual concepts with local features
Proceedings of the international conference on Multimedia
International Journal of Computational Vision and Robotics
Advanced shape context for plant species identification using leaf image retrieval
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
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Apart from the computer vision community, an always increasing number of scientific domains show a great interest for image analysis techniques. This interest is often guided by practical needs. As examples, we can cite all the medical imagery systems, the satellites images treatment and botanical databases. A common point of these applications is the large image collections that are generated and therefore require some automatic tools to help the scientists. These tools should allow clear structuration of the visual information and provide fast and accurate retrieval process. In the framework of the plant genes expression study we designed a content-based image retrieval (CBIR) system to assist botanists in their work. We propose a new contour-based shape descriptor that satisfies the constraints of this application (accuracy and real-time search). It is called Directional Fragment Histogram (DFH). This new descriptor has been evaluated and compared to several shape descriptors.