Building symbolic information for 3D human body modeling from range data

Abstract

This work is concerned with the signal-to-symbol problem of building skinned, segmented, landmarked and labeled 3D models of the whole human body from range data. A fully automated model-based process is presented that takes raw range data, cleans and skins it, and then locates "interesting" features, to enrich the surface with symbolic information for specific applications. The method is validated via volumetrics in medicine and surface anthropometry.

Virtual Garment Creation

“…Mostly 3D scanning results are used to generate measures used in tailoring to use them in traditional or computer aided constructing methods (DOI, 2005;Dāboliņa 2007;Dekker, 1999;D'Apuzzo, 2008).…”

Automatic Locating of Anthropometric Landmarks on 3D Human Models

“…Most of this work are limited to locating branching points such as the armpits and the crotch [13] [12] [16] [17]. Dekker [6] extends the identification to a larger subset of landmarks. The approach is based on defining for each landmark a function that combines different attributes.…”

“…The approach is based on defining for each landmark a function that combines different attributes. For instance, the acromion (shoulder point) is located as "the first point on the torso, traversing down from the nape on the ridge line of maximum z where the gradient is less than g and then a gradient greater than h" [6]. The limitation of the existing automatic methods is that they can not be extended to all the anthropometric landmarks.…”

Interaction-free dressing of virtual humans

“…are marked. Several systems for these purposes are available and have been described in the literature [15]. Also, methods exist that allow the insertion of animation skeletons into the meshes generated from the 3D scans and to move some parts of the body, such as the arms, into new positions [16].…”