3-D facial model estimation from single front-view facial image
Kuo, C.J.; Ruey-Song Huang; Tsang-Gang Lin
Circuits and Systems for Video Technology, IEEE Transactions on
Volume 12, Issue 3, Mar 2002 Page(s):183 - 192
Digital Object Identifier 10.1109/76.993439
Summary:A 3-D facial model can be accurately obtained from: (1) stereo
facial images or (2) front- and side-view facial images. The stereo
images can be obtained by two different cameras at the same time. On the
other hand, capturing front- and side-view facial images requires
precise location of the camera. Either may be unavailable in many
practical applications. We modify several existing techniques to
automatically locate the feature point position from the front-view
facial image. Then several schemes (such as minimum mean square error,
minimum mean absolute error, and maximum a posteriori) are used to
estimate the "depth" information of the 3-D facial model parameters from
the single front-view facial image according to the anthropometric and a
priori information. With this scheme, a 3-D facial model can be
estimated from single front-view facial image. According to the
simulation results, the estimated facial model matches the exact 3-D
facial model, and the synthesized and original side-view facial images
appear similar
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