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Robust Object Detection in Complex Background using ICA Compression   
摘  要:   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 real-time applications.
发  表:   International Conference in Central Europe on Computer Graphics and Visualization  2004

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