Title: Robust object detection in complex backgrounds using ICA compression
Authors: Vicente, M. A.
Fernández, C.
Reinoso, O.
Pérez, C.
Citation: WSCG '2004: Posters: The 12-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2.-6. February 2004, Plzen, p. 185-188.
Issue Date: 2004
Publisher: UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2004/Papers_2004_Poster/N13.pdf
ISBN: 80-903100-6-0
Keywords: rozpoznání objektů;3D objekty;barevné histogramy;laterální histogramy;analýza nezávislých komponent;analýza hlavních komponent
Keywords in different language: object recognition;3D objects;color histograms;lateral histograms;independent component analysis;principal component analysis
Abstract: This paper describes a method for recognizing real three-dimensional objects in non-controlled backgrounds using independent component analysis to eliminate redundant image information present in each object image. The proposed method is a two-step process that allows a coarse color-based detection and an exact localization using shape information. The paper describes an efficient implementation, making this approach suitable for realtime applications.
Rights: © UNION Agency
Appears in Collections:WSCG '2004: Posters

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/971

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