Robust Object Detection in Complex Background using ICA Compression.
2004
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.
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