Acquiring 3-D models from sequences of contours
Jiang Yu Zheng
Fac. of Comput. Sci. & Syst. Eng., Kyushu Inst. of Technol., Fukuoka;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Feb 1994
Volume: 16,
Issue: 2
On page(s): 163-178
ISSN: 0162-8828
References Cited: 21
CODEN: ITPIDJ
INSPEC Accession Number: 4645065
Digital Object Identifier: 10.1109/34.273734
Current Version Published: 2002-08-06
Abstract
This paper explores shape from contour for acquiring 3-D graphics
models. In this method, a continuous sequence of images is taken as an
object rotates. A smooth convex shape can be estimated instantaneously
from its contour and by the first derivative of contour movement (trace
of contour, or contour distribution with time). We also analyze shapes
that do not satisfy the conditions of smoothness and visibility, which
are indispensable for modeling an object. A region that does not expose
as contour yields a nonsmoothness in the tracked contour movement. We
can thus detect such a region by contour distribution filtering and
extract its accurate location by computing the left and right
derivatives of the distribution. This has not been studied previously.
These unknown regions are obtained for further investigation using other
visual cues. A general approach for building a geometrical object model
using contours is then described. The entire process from silhouettes to
a 3-D model is based local computation; this is promising for producing
shapes in real time. Our direct goal is to establish 3-D graphics models
of human faces for the growing needs of visual communications. We have
obtained some good results
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