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Proceedings Paper

Three-channel dynamic photometric stereo: a new method for 4D surface reconstruction and volume recovery
Author(s): Walter Schroeder; Wolfram Schulze; Thomas Wetter; Chi-Hsien Chen
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Paper Abstract

Three-dimensional (3D) body surface reconstruction is an important field in health care. A popular method for this purpose is laser scanning. However, using Photometric Stereo (PS) to record lumbar lordosis and the surface contour of the back poses a viable alternative due to its lower costs and higher flexibility compared to laser techniques and other methods of three-dimensional body surface reconstruction. In this work, we extended the traditional PS method and proposed a new method for obtaining surface and volume data of a moving object. The principle of traditional Photometric Stereo uses at least three images of a static object taken under different light sources to obtain 3D information of the object. Instead of using normal light, the light sources in the proposed method consist of the RGB-Color-Model's three colors: red, green and blue. A series of pictures taken with a video camera can now be separated into the different color channels. Each set of the three images can then be used to calculate the surface normals as a traditional PS. This method waives the requirement that the object imaged must be kept still as in almost all the other body surface reconstruction methods. By putting two cameras opposite to a moving object and lighting the object with the colored light, the time-varying surface (4D) data can easily be calculated. The obtained information can be used in many medical fields such as rehabilitation, diabetes screening or orthopedics.

Paper Details

Date Published: 3 September 2008
PDF: 8 pages
Proc. SPIE 7072, Optics and Photonics for Information Processing II, 70720P (3 September 2008); doi: 10.1117/12.799368
Show Author Affiliations
Walter Schroeder, Ruprecht-Karls-Univ. Heidelberg (Germany)
Wolfram Schulze, Ruprecht-Karls-Univ. Heidelberg (Germany)
Thomas Wetter, Ruprecht-Karls-Univ. Heidelberg (Germany)
Chi-Hsien Chen, Taipei Medical Univ., Wan Fang Hospital (Taiwan)
Taipei Medical Univ. (Taiwan)


Published in SPIE Proceedings Vol. 7072:
Optics and Photonics for Information Processing II
Abdul Ahad Sami Awwal; Khan M. Iftekharuddin; Bahram Javidi, Editor(s)

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