Curve matching and stereo calibration
Image and Vision Computing
Using Extremal Boundaries for 3-D Object Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Surface shape from the deformation of apparent contours
International Journal of Computer Vision
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
Synthesis of Novel Views from a Single Face Image
International Journal of Computer Vision
Visual motion of curves and surfaces
Visual motion of curves and surfaces
Using Singular Displacements for Uncalibrated Monocular Visual Systems
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Camera Pose Estimation and Reconstruction from Image Profiles under Circular Motion
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Automatic 3D Model Construction for Turn-Table Sequences
SMILE'98 Proceedings of the European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
Camera Calibration from Symmetry
Proceedings of the 9th IMA Conference on the Mathematics of Surfaces
Motion from the frontier of curved surfaces
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
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This paper describes a practical system developed for generating 3D models of human heads from silhouettes alone. The input to the system is an image sequence acquired from circular motion. Both the camera motion and the 3D structure of the head are estimated using silhouettes which are tracked throughout the sequence. Special properties of the camera motion and their relationships with the intrinsic parameters of the camera are exploited to provide a simple parameterization of the fundamental matrix relating any pair of views in the sequence. Such a parameterization greatly reduces the dimension of the search space for the optimization problem. In contrast to previous methods, this work can cope with incomplete circular motion and more widely spaced images. Experiments on real image sequences are carried out, showing accurate recovery of 3D shapes.