Understanding of the shape and size of different features of the human body from scanned data is necessary for automated design and evaluation of product ergonomics. In this paper, a computational framework is presented for automatic detection and recognition of important facial feature regions, from scanned head and shoulder polyhedral models. A noise tolerant methodology is proposed using discrete curvature computations, band-pass filtering, and morphological operations for isolation of the primary feature regions of the face, namely, the eyes, nose, and mouth. Spatial disposition of the critical points of these isolated feature regions is analyzed for the recognition of these critical points as the standard landmarks associated with the primary facial features. A number of clinically identified landmarks lie on the facial midline. An efficient algorithm for detection and processing of the midline, using a point sampling technique, is also presented. The results obtained using data of more than 20 subjects are verified through visualization and physical measurements. A color based and triangle skewness based schemes for isolation of geometrically nonprominent features and ear region are also presented.
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e-mail: deod@rpi.edu
e-mail: dibakar@cpdm.iisc.ernet.in
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March 2010
Research Papers
Mesh Processing for Computerized Facial Anthropometry
Dhanannjay Deo,
Dhanannjay Deo
Center for Product Design and Manufacturing,
e-mail: deod@rpi.edu
Indian Institute of Science
, Bangalore 560 012, India
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Dibakar Sen
Dibakar Sen
Center for Product Design and Manufacturing,
e-mail: dibakar@cpdm.iisc.ernet.in
Indian Institute of Science
, Bangalore 560 012, India
Search for other works by this author on:
Dhanannjay Deo
Center for Product Design and Manufacturing,
Indian Institute of Science
, Bangalore 560 012, Indiae-mail: deod@rpi.edu
Dibakar Sen
Center for Product Design and Manufacturing,
Indian Institute of Science
, Bangalore 560 012, Indiae-mail: dibakar@cpdm.iisc.ernet.in
J. Comput. Inf. Sci. Eng. Mar 2010, 10(1): 011007 (12 pages)
Published Online: March 10, 2010
Article history
Received:
February 15, 2008
Revised:
October 12, 2009
Online:
March 10, 2010
Published:
March 10, 2010
Citation
Deo, D., and Sen, D. (March 10, 2010). "Mesh Processing for Computerized Facial Anthropometry." ASME. J. Comput. Inf. Sci. Eng. March 2010; 10(1): 011007. https://doi.org/10.1115/1.3330420
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