Paper
8 March 2002 Two methods for locating feducial points on three-dimensional scans of the human face
Brian D. Corner, Peng Li, Robert M. Beecher, Steven Paquette
Author Affiliations +
Proceedings Volume 4661, Three-Dimensional Image Capture and Applications V; (2002) https://doi.org/10.1117/12.460169
Event: Electronic Imaging, 2002, San Jose, California, United States
Abstract
The objects captured with three-dimensional scanners are, by themselves, of limited value. The real power of 3D scanning emerges as applications derive useful information from the point clouds. Extracting measurements from 3D human body scans is an important capability for those interested in clothing and equipment design, human factors evaluation, and web commerce, among other applications. In order to be practical, measurement extraction functions must be fast, accurate, and reliable. Automation is critical for processing the large numbers of scans envisioned by most developers. In this paper we report two functions for identifying feducial points (landmarks) on the human face. First, we used a template-matching approach where a predefined template of 34 face landmarks is matched to a head scan using a small subset of the template landmarks. Once the template is in place, interrogating local surface geometry refines landmark location. This approach allows us to locate a large number of landmarks quickly, and, more importantly, it allows us to place important but hard to locate landmarks. In our second approach, we used image-processing methods to locate a small blue dot that has been positioned on the face prior to scanning.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian D. Corner, Peng Li, Robert M. Beecher, and Steven Paquette "Two methods for locating feducial points on three-dimensional scans of the human face", Proc. SPIE 4661, Three-Dimensional Image Capture and Applications V, (8 March 2002); https://doi.org/10.1117/12.460169
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KEYWORDS
Head

3D scanning

Ear

Scanners

Visualization

3D metrology

Clouds

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