In:
it - Information Technology, Walter de Gruyter GmbH, Vol. 44, No. 6 ( 2002-6-1), p. 295-302
Abstract:
Based on the assumption that a class of objects or data can be represented as a vector space spanned by a set of examples, we present a general method to estimate vector components of a novel vector, given only a subset of its dimensions. We apply this method to recover 3D shape of human faces from 2D image positions of a small number of feature points. The application demonstrates two aspects of the estimation of novel vector components: (1) From 2D image positions, we estimate 3D coordinates, and (2) from a small set of points, we obtain vertex positions of a high-resolution surface mesh. We provide an evaluation of the technique on laser scans of faces, and present an example of 3D shape reconstruction from a photograph. Our technique involves a tradeoff between reconstruction of the given measurements, and plausibility of the result. This is achieved in a Bayesian approach, and with a statistical analysis of the examples.
Type of Medium:
Online Resource
ISSN:
2196-7032
,
1611-2776
DOI:
10.1524/itit.2002.44.6.295
Language:
English
Publisher:
Walter de Gruyter GmbH
Publication Date:
2002
detail.hit.zdb_id:
2102301-3
detail.hit.zdb_id:
144419-0
detail.hit.zdb_id:
165820-7
detail.hit.zdb_id:
2028598-X
detail.hit.zdb_id:
6242-X
detail.hit.zdb_id:
1146417-3
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