Paper
20 August 1993 Global surface reconstruction from many views of the extremal boundary
W. Brent Seales, Olivier D. Faugeras
Author Affiliations +
Proceedings Volume 2059, Sensor Fusion VI; (1993) https://doi.org/10.1117/12.150240
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
Abstract
We present the results from a working system designed to reconstruct a complete 3D surface description from the extremal boundary of an object. Earlier work has shown that complete surface information (second order differential surface properties) can be recovered at edges generated by the extremal boundary of a 3D surface. In this paper we present new results in applying this theoretical framework to many views of real objects in order to show that many frames can be integrated into a common coordinate system to form a complete 3D model of an object. Our experiments place these multiple frames in a common coordinate system using known motion, if available, or by otherwise employing an algorithm for automatically computing object motion based on our classification of edges in the reconstruction process. We present experimental results on both real and synthetic data. Our experimental results on real objects show that with a calibrated trinocular camera system we can accurately reconstruct a complete surface description of 3D objects.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
W. Brent Seales and Olivier D. Faugeras "Global surface reconstruction from many views of the extremal boundary", Proc. SPIE 2059, Sensor Fusion VI, (20 August 1993); https://doi.org/10.1117/12.150240
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Cited by 2 scholarly publications.
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KEYWORDS
Cameras

Reconstruction algorithms

3D modeling

Calibration

3D image processing

Image fusion

Image segmentation

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