Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Rigid body motion from range image sequences
CVGIP: Image Understanding
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
View interpolation for image synthesis
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
The NURBS book (2nd ed.)
A parametric deformable model to fit unstructured 3D data
Computer Vision and Image Understanding
Segmentation and recovery of superquadrics: computational imaging and vision
Segmentation and recovery of superquadrics: computational imaging and vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Direct Estimation of Range Flow on Deformable Shape From a Video Rate Range Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic 3-D Scene Analysis Through Synthesis Feedback Control
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A Multi-body Factorization Methods for Motion Analysis
A Multi-body Factorization Methods for Motion Analysis
Separability of Pose and Expression in Facial Tracking and Animation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Non-Rigid Stereo Factorization
International Journal of Computer Vision
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
Image and Vision Computing
A system for articulated tracking incorporating a clothing model
Machine Vision and Applications
Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation
International Journal of Computer Vision
Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
An Effective Approach to 3D Deformable Surface Tracking
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Dense Depth Maps from Low Resolution Time-of-Flight Depth and High Resolution Color Views
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Convex optimization for nonrigid stereo reconstruction
IEEE Transactions on Image Processing
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Piecewise quadratic reconstruction of non-rigid surfaces from monocular sequences
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
3D deformable face tracking with a commodity depth camera
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Energy based multiple model fitting for non-rigid structure from motion
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Real-time human pose recognition in parts from single depth images
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Flexpad: highly flexible bending interactions for projected handheld displays
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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The tracking of deformable objects using video data is a demanding research topic due to the inherent ambiguity problems, which can only be solved using additional assumptions about the deformation. Image feature points, commonly used to approach the deformation problem, only provide sparse information about the scene at hand. In this paper a tracking approach for deformable objects in color and depth video is introduced that does not rely on feature points or optical flow data but employs all the input image information available to find a suitable deformation for the data at hand. A versatile NURBS based deformation space is defined for arbitrary complex triangle meshes, decoupling the object surface complexity from the complexity of the deformation. An efficient optimization scheme is introduced that is able to calculate results in real-time (25 Hz). Extensive synthetic and real data tests of the algorithm and its features show the reliability of this approach.