Epipolar Geometry from Profiles under Circular Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generalised Epipolar Constraints
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume 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
Motion from the frontier of curved surfaces
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Structure and motion estimation from dynamic silhouettes under perspective projection
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Circular Motion Geometry Using Minimal Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Silhouette Coherence for Camera Calibration under Circular Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Network Calibration and Synchronization from Silhouettes in Archived Video
International Journal of Computer Vision
Identifying foreground from multiple images
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
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This paper addresses the problem of camera calibration using object silhouettes in image sequences. It is known that silhouettes encode information on camera parameters by the fact that their associated viewing cones should present a common intersection in space. In this paper, we investigate how to evaluate calibration parameters given a set of silhouettes, and how to optimize such parameters with silhouette cues only. The objective is to provide on-line tools for silhouette based modeling applications in multiple camera environments. Our contributions with respect to existing works in this field is first to establish the exact constraint that camera parameters should satisfy with respect to silhouettes, and second to derive from this constraint new practical criteria to evaluate and to optimize camera parameters. Results on both synthetic and real data illustrate the interest of the proposed framework.