Abstract
This article proposes an approach to detection and description of interest points based C-HOG. The study of two interest point local descriptor methods, the SIFT and the SURF, allows us to understand their construction and extracts the various advantages (invariances, speeds, repeatability). Our goal is to couple these advantages to create a new system (detector and descriptor). The latter must be as invariant as possible for the image transformation (rotations, scales, viewpoints). We will have to find a compromise between a good matching rate and the number of points matched. All the detector and descriptor parameters (orientations, thresholds, analysis pattern, parameters) will be also detailed in this article.
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Grand-brochier, M., Tilmant, C., Dhome, M. (2010). Method of Interest Points Characterization Based C-HOG Local Descriptor. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17277-9_23
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DOI: https://doi.org/10.1007/978-3-642-17277-9_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17276-2
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