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In this paper, we present a new approach for textured 3-D face reconstruction based on two images in different views, which requires minimal user interaction by selecting eight pairs of feature points corresponding to each of the two images. These feature points have three functions: computing the fundamental matrix with the two face images based on epipolar geometry, estimating the poses of the images...
In this paper, we propose a new approach for face pose estimation based on two images from different views under certain conditions. Using a weak-perspective imaging model, six pose parameters were deduced, with four pairs of feature points properly chosen across the two face images. Through the scan-iteration algorithm, a robust performance was achieved, without solving non-linear equations. Comparing...
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