A vision modeling framework for DHM using geometrically estimated FoV

Vinayak, * and Sen, Dibakar (2012) A vision modeling framework for DHM using geometrically estimated FoV. In: Computer-Aided Design, 44 (1, SI). pp. 15-28.

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Abstract

Digital human modeling (DHM) involves modeling of structure, form and functional capabilities of human users for ergonomics simulation. This paper presents application of geometric procedures for investigating the characteristics of human visual capabilities which are particularly important in the context mentioned above. Using the cone of unrestricted directions through the pupil on a tessellated head model as the geometric interpretation of the clinical field-of-view (FoV), the results obtained are experimentally validated. Estimating the pupil movement for a given gaze direction using Listing's Law, FoVs are re-computed. Significant variation of the FoV is observed with the variation in gaze direction. A novel cube-grid representation, which integrated the unit-cube representation of directions and the enhanced slice representation has been introduced for fast and exact point classification for point visibility analysis for a given FoV. Computation of containment frequency of every grid-cell for a given set of FoVs enabled determination of percentile-based FoV contours for estimating the visual performance of a given population. This is a new concept which makes visibility analysis more meaningful from ergonomics point-of-view. The algorithms are fast enough to support interactive analysis of reasonably complex scenes on a typical desktop computer. (C) 2011 Elsevier Ltd. All rights reserved.

Item Type:	Journal Article
Publication:	Computer-Aided Design
Publisher:	Elsevier Science
Additional Information:	Copyright of this article belongs to Elsevier Science.
Keywords:	Digital human modeling;Vision modeling;FoV;Perimetry; Visibility;Percentile contour
Department/Centre:	Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited:	13 Jan 2012 10:03
Last Modified:	13 Jan 2012 10:03
URI:	http://eprints.iisc.ac.in/id/eprint/43124

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