Using vanishing points for camera calibration
International Journal of Computer Vision
Model acquisition using stochastic projective geometry
Model acquisition using stochastic projective geometry
Computer Vision: Three-Dimensional Data from Images
Computer Vision: Three-Dimensional Data from Images
Acquiring 3-D Models from Sequences of Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
3-D Modeling from Images
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The generation of 3-D models from uncalibrated sequences is a challenging problem that has been investigated in many research activities in the last decade. In particular, a topic of great interest is the modeling of real humans. In this paper a method for the 3-D reconstruction of static human body shapes from images acquired with a video-camera is presented. The process includes the orientation and calibration of the sequence, the extraction of correspondences on the body using least squares matching technique and the reconstruction of the 3-D point cloud of the human body.