Method Of 2D And 3D Object Recognition In Nonoptimal Conditions

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Abstract
This paper describes an object recognition method that works in nonoptimal conditions. The method does not require a fixed camera position and can be applied in cases of partially occluded objects and noisy image data. The method is based on matching local properties of the contours of the model with the corresponding properties of image contours using a Hough-method. A general scheme for three-dimensional recognition is developed. The special case of two-dimensional recognition is carefully studied and a two-phase, piece-wise algorithm tuned for hardware realization is designed. The performance of the algorithms is shown through experiments.© (1985) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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