Three-Dimensional Object Recognition Using Range Data

Michael Penna; Su-Shing Chen

doi:10.1117/12.960317

27 March 1989 Three-Dimensional Object Recognition Using Range Data

Michael Penna, Su-Shing Chen

Proceedings Volume 1002, Intelligent Robots and Computer Vision VII; (1989) https://doi.org/10.1117/12.960317
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

For the past two decades, most computer vision research has been concerned with digitized gray scale intensity images as sensor data. Digitized intensity images do not, however, contain explicit information about depth or range. More recently, digitized range data from both active and passive sensors has been used for object recognition and image understanding. In this paper we present a 3-dimensional range data recognition scheme. This scheme is based on the association of a set of geometric features to a surface which approximates the surface of an unknown object. A key feature of this system is its efficient use of dense range data.

Citation Download Citation

Michael Penna and Su-Shing Chen "Three-Dimensional Object Recognition Using Range Data", Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); https://doi.org/10.1117/12.960317

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