Title
Mimicking video: real-time morphable 3D model fitting
Abstract
This paper presents a new automatic scheme for tracking a 3D non-rigid object surface such as a human face in a real-time video sequence. We introduce a coordinate-oriented error minimization method for estimating the tracking parameters, whereas we base our algorithm on a morphable 3D model consisting of a combination of 3D linear bases, and show that it is extremely well suited to the task of fitting the 3D model to the target object in real time. The algorithm is straightforward, allowing the parameters of an object's pose and non-rigid motion to be computed in an integrated manner. Also, it is found that the illumination variability on the object surface, for instance due to the target motion, can be handled easily. Through the experiments we not only show that on-line tracking is indeed possible, but also demonstrate the effect of our technique of video mimicking.
Year
DOI
Venue
2003
10.1145/1008653.1008677
VRST
Keywords
Field
DocType
non-rigid object surface,real-time morphable,model fitting,coordinate-oriented error minimization method,non-rigid motion,object surface,video mimicking,target motion,target object,on-line tracking,real-time video sequence,mimicking video,tracking parameter,real time,human interface
Computer vision,Computer graphics (images),Computer science,Simulation,Minification,Video tracking,Artificial intelligence,Human interface device
Conference
ISBN
Citations 
PageRank 
1-58113-569-6
3
0.48
References 
Authors
16
3
Name
Order
Citations
PageRank
Kazuhiro Hiwada1875.13
Atsuto Maki251240.20
Akiko Nakashima330.48