Paper
17 January 1985 Techniques For Real-Time, 3D, Feature Extraction Using Range Information
Donald J. Svetkoff, Patrick F. Leonard, Robert E. Sampson, Ramesh Jain
Author Affiliations +
Proceedings Volume 0521, Intelligent Robots and Computer Vision; (1985) https://doi.org/10.1117/12.946196
Event: 1984 Cambridge Symposium, 1984, Cambridge, United States
Abstract
Recognition of three dimensional (3D) objects in low contrast scenes and in scenes where objects are partially occluded is a challenging problem for advanced 3D sensor based robotic systems. Laser ranging systems measure the surface depth directly and therefore avoid the computation required for construction of a depth map from multiple camera views. Since the physical level knowledge of the surfaces is directly available, the capability for real time object recognition in complex scenes is introduced. This paper discusses some elements of a real time 3D pattern recognition system for sensor based robot applications. The investigation includes a conceptual discussion of the sensor and techniques for feature extraction.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Donald J. Svetkoff, Patrick F. Leonard, Robert E. Sampson, and Ramesh Jain "Techniques For Real-Time, 3D, Feature Extraction Using Range Information", Proc. SPIE 0521, Intelligent Robots and Computer Vision, (17 January 1985); https://doi.org/10.1117/12.946196
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Cited by 20 scholarly publications.
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KEYWORDS
Sensors

Feature extraction

Robot vision

Computer vision technology

Machine vision

Reflectivity

3D image processing

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