Paper
1 August 1990 Pose determination of polyhedral objects from unconstrained 3D edge points
Horst Bunke
Author Affiliations +
Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 13953A (1990) https://doi.org/10.1117/12.2294361
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland
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. However, the precise position of an edge point on an edge is unconstrained. 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 problems analytically. The special cases depend on the collinearity and coplanarity of the three edge points.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Horst Bunke "Pose determination of polyhedral objects from unconstrained 3D edge points", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 13953A (1 August 1990); https://doi.org/10.1117/12.2294361
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KEYWORDS
3D modeling

Data modeling

Machine vision

Photogrammetry

Visual process modeling

Fourier transforms

Robot vision

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