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
Surface Capture for Performance-Based Animation
IEEE Computer Graphics and Applications
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
Human Motion Tracking by Registering an Articulated Surface to 3D Points and Normals
IEEE Transactions on Pattern Analysis and Machine Intelligence
Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation
International Journal of Computer Vision
Optimization and Filtering for Human Motion Capture
International Journal of Computer Vision
Point Set Registration: Coherent Point Drift
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rigid and Articulated Point Registration with Expectation Conditional Maximization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating radiation exposure in interventional environments
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
An outline for an intelligent system performing peg-in-hole actions with flexible objects
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Keypoints and Local Descriptors of Scalar Functions on 2D Manifolds
International Journal of Computer Vision
Non-rigid 3D shape tracking from multiview video
Computer Vision and Image Understanding
Simultaneous shape and pose adaption of articulated models using linear optimization
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Global Non-rigid Alignment of Surface Sequences
International Journal of Computer Vision
Flexpad: highly flexible bending interactions for projected handheld displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Invariant surface-based shape descriptor for dynamic surface encoding
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
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In this paper, we address the problem of tracking the temporal evolution of arbitrary shapes observed in multi-camera setups. This is motivated by the ever growing number of applications that require consistent shape information along temporal sequences. The approach we propose considers a temporal sequence of independently reconstructed surfaces and iteratively deforms a reference mesh to fit these observations. To effectively cope with outlying and missing geometry, we introduce a novel probabilistic mesh deformation framework. Using generic local rigidity priors and accounting for the uncertainty in the data acquisition process, this framework effectively handles missing data, relatively large reconstruction artefacts and multiple objects. Extensive experiments demonstrate the effectiveness and robustness of the method on various 4D datasets.