Paper
1 March 1992 Location of polyhedral objects in 3-D space from three unconstrained edge points
Horst Bunke, Hong-Seh Lim, Urs Meier
Author Affiliations +
Abstract
We present algorithms for locating polyhedral objects using three edge points. An edge point is a three-dimensional data point which lies on a known edge of an object. In this paper, we assume that the precise position of an edge point on an edge is not known. In general, with three edge points, we have to solve a system of nonlinear equations. However, there are special cases, where we can solve the location problem analytically. The special cases depend on the collinearity and coplanarity of the three edge points.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Horst Bunke, Hong-Seh Lim, and Urs Meier "Location of polyhedral objects in 3-D space from three unconstrained edge points", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); https://doi.org/10.1117/12.135103
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KEYWORDS
Robot vision

3D modeling

Computer vision technology

Machine vision

Bismuth

Complex systems

Visual process modeling

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