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Título: | Unidimensional multiscale local features for object detection under rotation and mild occlusions |
Autor: | Villamizar, Michael CSIC; Sanfeliu, Alberto CSIC ORCID ; Andrade-Cetto, Juan CSIC ORCID | Palabras clave: | Computer vision | Fecha de publicación: | 2007 | Editor: | Springer Nature | Citación: | Pattern Recognition and Image Analysis: 645-651 (2007) | Resumen: | In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the present one uses a local feature description that allows small changes in the histogram signature, giving robustness to partial occlusions. Local features over the object histogram are extracted during a Boosting learning phase, selecting the most discriminant features within a training histogram image set. The Integral Histogram has been used to compute local histograms in constant time. | Descripción: | Presentado al 3rd Iberian Conference (IbPRIA-2007) celebrado en Girona (Spain) del 6 al 8 de junio. | Versión del editor: | http://dx.doi.org/10.1007/978-3-540-72849-8_81 | URI: | http://hdl.handle.net/10261/30346 | DOI: | 10.1007/978-3-540-72849-8_81 | ISBN: | 978-3-540-72848-1 |
Aparece en las colecciones: | (IRII) Libros y partes de libros |
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Unidimensional multiscale.pdf | 489,45 kB | Adobe PDF | Visualizar/Abrir |
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