Generating Octrees from Object Silhouettes in Orthographic Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
How Far 3D Shapes Can Be Understood from 2D Silhouettes
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Paraperspective Factorization Method for Shape and Motion Recovery
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D Surface Reconstruction Using Occluding Contours
International Journal of Computer Vision
The Development and Comparison of Robust Methodsfor Estimating the Fundamental Matrix
International Journal of Computer Vision
Automatic Model Construction and Pose Estimation From Photographs Using Triangular Splines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Shape Recovery from Occluding Contours Using a Linear Smoother
International Journal of Computer Vision
Motion Estimation in Image Sequences Using the Deformation of Apparent Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
MLESAC: a new robust estimator with application to estimating image geometry
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Multiple view geometry in computer vision
Multiple view geometry in computer vision
The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Structure and motion of curved 3D objects from monocular silhouettes
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
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
Robust detection of degenerate configurations for the fundamental matrix
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Geometric modeling for computer vision.
Geometric modeling for computer vision.
Curve and Surface Duals and the Recognition of Curved 3D Objects from their Silhouettes
International Journal of Computer Vision - Special Issue on Computer Vision Research at the Beckman Institute of Advanced Science and Technology
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Structure from motion for scenes without features
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Image and Vision Computing
International Journal of Computer Vision
On the Apparent Transparency of a Motion Blurred Object
International Journal of Computer Vision
Camera Network Calibration and Synchronization from Silhouettes in Archived Video
International Journal of Computer Vision
Using silhouette for pose estimation of object with surface of revolution
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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This paper addresses the problem of estimating the motion of a camera as it observes the outline (or apparent contour) of a solid bounded by a smooth surface in successive image frames. In this context, the surface points that project onto the outline of an object depend on the viewpoint and the only true correspondences between two outlines of the same object are the projections of frontier points where the viewing rays intersect in the tangent plane of the surface. In turn, the epipolar geometry is easily estimated once these correspondences have been identified. Given the apparent contours detected in an image sequence, a robust procedure based on RANSAC and a voting strategy is proposed to simultaneously estimate the camera configurations and a consistent set of frontier point projections by enforcing the redundancy of multiview epipolar geometry. The proposed approach is, in principle, applicable to orthographic, weak-perspective, and affine projection models. Experiments with nine real image sequences are presented for the orthographic projection case, including a quantitative comparison with the ground-truth data for the six data sets for which the latter information is available. Sample visual hulls have been computed from all image sequences for qualitative evaluation.