Paper
1 March 1992 Three-dimensional transformation recognition using four-dimensional tensor theory
Luis de Pedro
Author Affiliations +
Abstract
A new approach to identify the three-dimensional transformation is presented based in four- dimensional tensor theory. It allows the isolation of the 3-D transformation parameters using data from real perspective projection of a rigid planar path object. With this approach there is no need of point correspondence between the image and the reference position of the object. It uses perspective projection modeling of the image and, thus there are no unresolved angles as in the case of parallel projection.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Luis de Pedro "Three-dimensional transformation recognition using four-dimensional tensor theory", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); https://doi.org/10.1117/12.135105
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KEYWORDS
3D image processing

3D modeling

Robot vision

Computer vision technology

Machine vision

Robots

Computing systems

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