Motion Estimation in Image Sequences Using the Deformation of Apparent Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Recognition of 3D Curves From One View
Journal of Mathematical Imaging and Vision
Generalised Epipolar Constraints
International Journal of Computer Vision
Model-Based Recognition of 3D Objects from Single Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape-From-Silhouette Across Time Part I: Theory and Algorithms
International Journal of Computer Vision
Robust Structure and Motion from Outlines of Smooth Curved Surfaces
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
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Geometrical computer vision from chasles to today
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
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The silhouette of a smooth 3D object observed by a moving camera changes over time. Past work has shown how surface geometry can be recovered using the deformation of the silhouette when the camera motion is known. This paper addresses the problem of estimating both the full Euclidean surface structure and the camera motion from a dense set of silhouettes captured under orthographic or scaled orthographic projection. The approach relies on a viewpoint-invariant representation of curves swept by viewpoint-dependent features such as bitangents, inflections and contour points with parallel tangents. Feature points, which form stereo frontier points between non-consecutive images, are matched using this representation. The camera's angular velocity is computed from constraints derived from this correspondence along with the image velocity of these features. From the angular velocity, the epipolar geometry is ascertained, and infinitesimal motion frontier points can be detected. In turn, the motion of these frontier points constrains the translation component of camera motion. Finally, the surface is reconstructed using established techniques once the camera motion has been estimated.