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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/30301
Title: Computation of rotation local invariant features using the integral image for real time object detection
Authors: Villamizar, Michael; Sanfeliu, Alberto; Andrade-Cetto, Juan
Keywords: Vision
Object detection
Invariant feature
Issue Date: 2006
Publisher: Institute of Electrical and Electronics Engineers
Citation: 18th International Conference on Pattern Recognition: 81-85 (2006)
Abstract: We present a framework for object detection that is invariant to object translation, scale, rotation, and to some degree, occlusion, achieving high detection rates, at 14 fps in color images and at 30 fps in gray scale images. Our approach is based on boosting over a set of simple local features. In contrast to previous approaches, and to efficiently cope with orientation changes, we propose the use of non-Gaussian steerable filters, together with a new orientation integral image for a speedy computation of local orientation.
Description: Presentado al ICPR/2006 celebrado en Hong Kong (China).
Publisher version (URL): http://dx.doi.org/10.1109/ICPR.2006.399
URI: http://hdl.handle.net/10261/30301
DOI: 10.1109/ICPR.2006.399
ISBN: 0-7695-2521-0
Appears in Collections:(IRII) Libros y partes de libros
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