A crack localization system based on the spatio‐temporal gradient method

2000 ◽  
Vol 108 (5) ◽  
pp. 2529-2529
Author(s):  
Kenbu Teramoto
Keyword(s):  
Gradient Method ◽  
Temporal Gradient ◽  
Localization System ◽  
Spatio Temporal

Active Tracking and Cloning of Facial Expressions Using Spatio-Temporal Information

2003 ◽  
Vol 12 (03) ◽  
pp. 279-295
Author(s):  
Lijun Yin ◽  
Anup Basu ◽  
Matt T. Yourst
Keyword(s):  
Facial Expressions ◽  
Correlation Method ◽  
Facial Feature ◽  
Motion Vectors ◽  
Temporal Gradient ◽  
Face Animation ◽  
Low Bit Rate ◽  
Gradient Based ◽  
Spatio Temporal ◽  
Active Camera

This paper presents a new method to analyze and synthesize facial expressions, in which a spatio-temporal gradient based method (i.e., optical flow) is exploited to estimate the movement of facial feature points. We proposed a method (called motion correlation) to improve the conventional block correlation method for obtaining motion vectors. The tracking of facial expressions under an active camera is addressed. With the motion vectors estimated, a facial expression can be cloned by adjusting the existing 3-D facial model, or synthesized by using different facial models. The experimental results demonstrate that the approach proposed is feasible for applications such as low bit rate video coding and face animation.

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