Paper
11 December 1985 A Sequential Technique For 3D Object Recognition
Firooz A. Sadjadi
Author Affiliations +
Proceedings Volume 0579, Intelligent Robots and Computer Vision IV; (1985) https://doi.org/10.1117/12.950809
Event: 1985 Cambridge Symposium, 1985, Cambridge, United States
Abstract
The extraction of planar surfaces in range imagery is essential in many object recognition schemes where 3D objects are assumed to be composed mainly of such surfaces. In this paper a novel hierarchical technique is presented for the extraction of planar surfaces which has the potential of being both efficient and robust in the presence of noise. The planar surfaces are extracted by means of an hierarchical 3D Hough transform. The levels of quantization of the 3D Hough space vary from coarse to fine depending on their position in the hierarchy. The technique has many advantages in terms of efficiency, storage requirements, and immunity to noise.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Firooz A. Sadjadi "A Sequential Technique For 3D Object Recognition", Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); https://doi.org/10.1117/12.950809
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KEYWORDS
3D metrology

Hough transforms

Quantization

3D modeling

Image resolution

Object recognition

3D image processing

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