Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image

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image based reconstruction
articulated figures
uncalibrated imagery
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This paper investigates the problem of recovering information about the configuration of an articulated object, such as a human figure, from point correspondences in a single image. Unlike previous approaches, the proposed reconstruction method does not assume that the imagery was acquired with a calibrated camera. An analysis is presented which demonstrates that there are a family of solutions to this reconstruction problem parameterized by a single variable. A simple and effective algorithm is proposed for recovering the entire set of solutions by considering the foreshortening of the segments of the model in the image. Results obtained by applying this algorithm to real images are presented.

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2000-12-01
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Postprint version. Published in Computer Vision and Image Understanding, Volume 80, Issue 3, December 2000, pages 349-363. Publisher URL: http://dx.doi.org/10.1006/cviu.2000.0878
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