DocumentCode :
760098
Title :
Adjusting shape parameters using model-based optical flow residuals
Author :
DeCarlo, Douglas ; Metaxas, Dimitris
Author_Institution :
Dept. of Comput. Sci., State Univ. of New Jersey, Piscataway, NJ, USA
Volume :
24
Issue :
6
fYear :
2002
fDate :
6/1/2002 12:00:00 AM
Firstpage :
814
Lastpage :
823
Abstract :
We present a method for estimating the shape of a deformable model using the least-squares residuals from a model-based optical flow computation. This method is built on top of an estimation framework using optical flow and image features, where optical flow affects only the motion parameters of the model. Using the results of this computation, our new method adjusts all of the parameters so that the residuals from the flow computation are minimized. We present face tracking experiments that demonstrate that this method obtains a better estimate of shape compared to related frameworks
Keywords :
image sequences; motion estimation; parameter estimation; deformable models; least-squares residuals; motion estimation; optical flow; shape estimation; shape parameters; Computational modeling; Deformable models; Facial animation; Image motion analysis; Motion estimation; Optical computing; Robotics and automation; Shape; Tracking; Videos;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.2002.1008387
Filename :
1008387
Link To Document :
بازگشت