Head Tracking via Robust Registration in Texture Map Images

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dc.contributor.author La Cascia, Marco en_US
dc.contributor.author Isidoro, John en_US
dc.contributor.author Sclaroff, Stan en_US
dc.date.accessioned 2011-10-20T04:37:48Z
dc.date.available 2011-10-20T04:37:48Z
dc.date.issued 1997-11-24 en_US
dc.identifier.uri http://hdl.handle.net/2144/1620
dc.description.abstract A novel method for 3D head tracking in the presence of large head rotations and facial expression changes is described. Tracking is formulated in terms of color image registration in the texture map of a 3D surface model. Model appearance is recursively updated via image mosaicking in the texture map as the head orientation varies. The resulting dynamic texture map provides a stabilized view of the face that can be used as input to many existing 2D techniques for face recognition, facial expressions analysis, lip reading, and eye tracking. Parameters are estimated via a robust minimization procedure; this provides robustness to occlusions, wrinkles, shadows, and specular highlights. The system was tested on a variety of sequences taken with low quality, uncalibrated video cameras. Experimental results are reported. en_US
dc.language.iso en_US en_US
dc.publisher Boston University Computer Science Department en_US
dc.relation.ispartofseries BUCS Technical Reports;BUCS-TR-1997-020 en_US
dc.title Head Tracking via Robust Registration in Texture Map Images en_US
dc.type Technical Report en_US

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