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Stereo Matching with Energy Minimizing Snake Grid for 3D Face Modeling
 

Summary: Stereo Matching with Energy Minimizing Snake Grid
for 3D Face Modeling
Shafik Huq1
, Besma Abidi1
, Ardeshir Goshtasby2
, and Mongi Abidi1
1
Imaging, Robotics, and Intelligent System (IRIS) Laboratory, Department of ECE,
The University of Tennessee, Knoxville, TN 37996-2100
2
Intelligent Systems Laboratory, Wright State University, Dayton, OH 45435-0001
ABSTRACT
An energy minimizing snake algorithm that runs over a grid is designed and used to reconstruct high resolution 3D
human faces from pairs of stereo images. The accuracy of reconstructed 3D data from stereo depends highly on how well
stereo correspondences are established during the feature matching step. Establishing stereo correspondences on human
faces is often ill posed and hard to achieve because of uniform texture, slow changes in depth, occlusion, and lack of
gradient. We designed an energy minimizing algorithm that accurately finds correspondences on face images despite the
aforementioned characteristics. The algorithm helps establish stereo correspondences unambiguously by applying a
coarse-to-fine energy minimizing snake in grid format and yields a high resolution reconstruction at nearly every point of
the image. Initially, the grid is stabilized using matches at a few selected high confidence edge points. The grid then

  

Source: Abidi, Mongi A. - Department of Electrical and Computer Engineering, University of Tennessee

 

Collections: Computer Technologies and Information Sciences