Generating octree models of 3D objects from their silhouettes in a sequence of images
Computer Vision, Graphics, and Image Processing
Construction of the Octree Approximating a Three-Dimensional Object by Using Multiple Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating Octrees from Object Silhouettes in Orthographic Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of digital image processing
Fundamentals of digital image processing
Volume intersection with optimal set of directions
Pattern Recognition Letters
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Rapid octree construction from image sequences
CVGIP: Image Understanding
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
How Far 3D Shapes Can Be Understood from 2D Silhouettes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Compact Representations of Videos Through Dominant and Multiple Motion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-Dimensional Human Body Model Acquisition from Multiple Views
International Journal of Computer Vision
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Epipolar Geometry from Profiles under Circular Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Shape by Space Carving
International Journal of Computer Vision - Special issue on Genomic Signal Processing
Virtual View Generation for 3D Digital Video
IEEE MultiMedia
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
What Does the Scene Look Like from a Scene Point?
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Polyhedral Visual Hulls for Real-Time Rendering
Proceedings of the 12th Eurographics Workshop on Rendering Techniques
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)
A Factorization Method for Affine Structure from Line Correspondences
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
3D Articulated Models and Multi-View Tracking with Silhouettes
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A Paraperspective Factorization Method for Shape and Motion Recovery
A Paraperspective Factorization Method for Shape and Motion Recovery
Creating and Rendering Image-Based Visual Hulls
Creating and Rendering Image-Based Visual Hulls
Geometric modeling for computer vision.
Geometric modeling for computer vision.
Stereo Matching with Transparency and Matting
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Automatic acquisition and initialization of articulated models
Machine Vision and Applications - Special issue: Human modeling, analysis, and synthesis
Visual hull construction, alignment and refinement for human kinematic modeling, motion tracking and rendering
Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, 16)
International Journal of Computer Vision
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
Live 3D Video in Soccer Stadium
International Journal of Computer Vision
Human Motion Tracking with a Kinematic Parameterization of Extremal Contours
International Journal of Computer Vision
Image and Vision Computing
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
International Journal of Computer Vision
View-independent human motion classification using image-based reconstruction
Image and Vision Computing
Possibilities of texture based motion analysis
Computer Methods and Programs in Biomedicine
VAM: video aided modeling for shape reconstruction and re-design
IASTED-HCI '07 Proceedings of the Second IASTED International Conference on Human Computer Interaction
Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation
International Journal of Computer Vision
A complete visual hull representation using bounding edges
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Vision-based user-centric light control for smart environments
Pervasive and Mobile Computing
Multi-view 3D Human Pose Estimation in Complex Environment
International Journal of Computer Vision
Globally optimal spatio-temporal reconstruction from cluttered videos
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
3D Human model adaptation by frame selection and shape-texture optimization
Computer Vision and Image Understanding
Non-rigid 3D shape tracking from multiview video
Computer Vision and Image Understanding
Tracking benchmark databases for video-based sign language recognition
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
3D human motion analysis framework for shape similarity and retrieval
Image and Vision Computing
3D human video retrieval: from pose to motion matching
3DOR '13 Proceedings of the Sixth Eurographics Workshop on 3D Object Retrieval
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Shape-From-Silhouette (SFS) is a shape reconstruction method which constructs a 3D shape estimate of an object using silhouette images of the object. The output of a SFS algorithm is known as the Visual Hull (VH). Traditionally SFS is either performed on static objects, or separately at each time instant in the case of videos of moving objects. In this paper we develop a theory of performing SFS across time: estimating the shape of a dynamic object (with unknown motion) by combining all of the silhouette images of the object over time. We first introduce a one dimensional element called a Bounding Edge to represent the Visual Hull. We then show that aligning two Visual Hulls using just their silhouettes is in general ambiguous and derive the geometric constraints (in terms of Bounding Edges) that govern the alignment. To break the alignment ambiguity, we combine stereo information with silhouette information and derive a Temporal SFS algorithm which consists of two steps: (1) estimate the motion of the objects over time (Visual Hull Alignment) and (2) combine the silhouette information using the estimated motion (Visual Hull Refinement). The algorithm is first developed for rigid objects and then extended to articulated objects. In the Part II of this paper we apply our temporal SFS algorithm to two human-related applications: (1) the acquisition of detailed human kinematic models and (2) marker-less motion tracking.