Using vanishing points for camera calibration
International Journal of Computer Vision
Trilinearity in visual recognition by alignment
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Model acquisition using stochastic projective geometry
Model acquisition using stochastic projective geometry
Computer Vision: Three-Dimensional Data from Images
Computer Vision: Three-Dimensional Data from Images
Computer and Robot Vision
Acquiring 3-D Models from Sequences of Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
3-D Modeling from Images
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Towards Real-Time Monocular Video-Based Avatar Animation
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Low-Cost Multi-image Based 3D Human Body Modeling
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Towards implementation of photogrammetry based product re-realization
ROCOM'09 Proceedings of the 9th WSEAS international conference on Robotics, control and manufacturing technology
Design and implementation of photogrammetry based product re-realization
WSEAS Transactions on Information Science and Applications
3D modeling of humans with skeletons from uncalibrated wide baseline views
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Hi-index | 0.00 |
The generation of 3-D models from uncalibrated image sequences is a challenging problem that has been investigated in many research activities in the last decade. In particular, a topic of great interest is the modeling of realistic humans, for animation, manufacture or medicine purposes. Nowadays the common approaches try to reconstruct the human body using specialized hardware (laser scanners) resulting in high costs. In this contribution a different method for the three-dimensional reconstruction of static human body shape from monocular image sequence is presented. The core of the presented work describes the calibration and orientation of the images, mostly based on photogrammetric techniques. Then the process includes also the extraction of correspondences on the body using a least squares matching algorithm and the reconstruction of the 3-D body model in point cloud form.