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

Hannu Hakalahti; Ilkka Moring

doi:10.1117/12.946160

17 January 1985 Method Of 2D And 3D Object Recognition In Nonoptimal Conditions

Hannu Hakalahti, Ilkka Moring

Proceedings Volume 0521, Intelligent Robots and Computer Vision; (1985) https://doi.org/10.1117/12.946160
Event: 1984 Cambridge Symposium, 1984, Cambridge, United States

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.

Citation Download Citation

Hannu Hakalahti and Ilkka Moring "Method Of 2D And 3D Object Recognition In Nonoptimal Conditions", Proc. SPIE 0521, Intelligent Robots and Computer Vision, (17 January 1985); https://doi.org/10.1117/12.946160

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