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Proceedings Paper

Toward the automated extraction of accurate 3D models from close-range photogrammetric networks
Author(s): Helen Papadaki; Stuart Robson; David P. Chapman; Neil G. Woodhouse
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Paper Abstract

3D models are important products of measurement systems in a variety of applications such as archaeology, medicine, architecture and engineering. In order to be appropriate to the end user, such object models must comply with certain accuracy standards. To achieve both accuracy and object coverage with a close range photogrammetric approach often requires a convergent image network in combination with retro reflective targets or some form of projected pattern. Retro-reflective targets alone can only provide sparse data. However, by optimizing image acquisition to record both targets and natural surface texture information, proven high accuracy retro reflective target image measurement can be combined with a wealth of automated image analysis algorithms developed by both photogrammetric and machine vision communities.

Paper Details

Date Published: 22 December 2000
PDF: 11 pages
Proc. SPIE 4309, Videometrics and Optical Methods for 3D Shape Measurement, (22 December 2000); doi: 10.1117/12.410882
Show Author Affiliations
Helen Papadaki, Univ. College London (United Kingdom)
Stuart Robson, Univ. College London (United Kingdom)
David P. Chapman, Univ. College London (United Kingdom)
Neil G. Woodhouse, Univ. College London (United Kingdom)


Published in SPIE Proceedings Vol. 4309:
Videometrics and Optical Methods for 3D Shape Measurement
Sabry F. El-Hakim; Armin Gruen, Editor(s)

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