3-D vision for robot applications
Proceedings of the NATO advanced research workshop on Machine intelligence and knowledge engineering for robotic applications
Similarity measures in computer vision
Pattern Recognition Letters
Multidimensional Indexing for Recognizing Visual Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
A multiple camera coordination method based on genetic programming and material character
International Journal of Computer Applications in Technology
Bio-inspired computation: success and challenges of IJBIC
International Journal of Bio-Inspired Computation
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The problem of recognition, classification and distance measurement between different polygons are all very important tasks in pattern recognition, text identification and model-based vision. The performance of any such job depends to a great extent on the proper selection of features. Towards that, this paper introduces a new set of shape descriptors – extended angle and extended ratio. These arise out of every set of alternating line segments of any polygon. These are invariant under similarity transformation (Deb, 2006). These together with a proper measure of the direction of the extended lengths makes the feature set unique in the sense that besides recognition, it helps in completing the reconstruction of the unknown polygon. This paper will study several characteristics of the extended feature set.