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Visual Object Recognition Using Pseudo-random Grid Encoding

Emil M. Petriu, T. Bieseman, N. Trif, W.S. McMath, Sai-Kit Yeung

Year
2005
Citations
24

Abstract

This paper presents a new grid node indexing method based on pseudo-random binary array (PRBA) encoding. This method requires only one code bit per grid step, independent of the desired grid resolution. Applications are discussed for 3-D object recognition and for 2-D absolute position recovery of a free- ranging mobile robot.

Keywords

Computer scienceGridEncoding (memory)Search engine indexingObject (grammar)Artificial intelligenceRangingComputer visionPosition (finance)Cognitive neuroscience of visual object recognition

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