In this paper, we study the relationship between multi-view active appearance model (AAM) fitting and camera calibration. In the first part of the paper we propose an algorithm to calibrate the relative orientation of a set of N > 1 cameras by fitting an AAM to sets of N images. In essence, we use the human face as a (non-rigid) calibration grid. Our algorithm calibrates a set of 2 /spl times/ 3 weak-perspective camera projection matrices, protections of the world coordinate system origin into the images, depths of the world coordinate system origin, and focal lengths. We demonstrate that the performance of this algorithm is comparable to a standard algorithm using a calibration grid. In the second part of the paper, we show how calibrating the cameras improves tile performance of multi-view AAM fitting.
Multi-view AAM fitting and camera calibration
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 ; 1 ; 511-518 Vol. 1
2005-01-01
424594 byte
Conference paper
Electronic Resource
English
Multi-View AAM Fitting and Camera Calibration
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