Paper
21 March 1997 Mapping gray-scale image to 3D surface scanning data by ray tracing
Peng Li, Peter R. M. Jones
Author Affiliations +
Proceedings Volume 3023, Three-Dimensional Image Capture; (1997) https://doi.org/10.1117/12.269761
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
The extraction and location of feature points from range imaging is an important but difficult task in machine vision based measurement systems. There exist some feature points which are not able to be detected from pure geometric characteristics, particularly in those measurement tasks related to the human body. The Loughborough Anthropometric Shadow Scanner (LASS) is a whole body surface scanner based on structured light technique. Certain applications of LASS require accurate location of anthropometric landmarks from the scanned data. This is sometimes impossible from existing raw data because some landmarks do not appear in the scanned data. Identification of these landmarks has to resort to surface texture of the scanned object. Modifications to LASS were made to allow gray-scale images to be captured before or after the object was scanned. Two-dimensional gray-scale image must be mapped to the scanned data to acquire the 3D coordinates of a landmark. The method to map 2D images to the scanned data is based on the colinearity conditions and ray-tracing method. If the camera center and image coordinates are known, the corresponding object point must lie on a ray starting from the camera center and connecting to the image coordinate. By intersecting the ray with the scanned surface of the object, the 3D coordinates of a point can be solved. Experimentation has demonstrated the feasibility of the method.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peng Li and Peter R. M. Jones "Mapping gray-scale image to 3D surface scanning data by ray tracing", Proc. SPIE 3023, Three-Dimensional Image Capture, (21 March 1997); https://doi.org/10.1117/12.269761
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KEYWORDS
Cameras

3D image processing

Error analysis

3D scanning

Calibration

Scanners

Imaging systems

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