Dynamic NURBS with geometric constraints for interactive sculpting
ACM Transactions on Graphics (TOG) - Special issue on interactive sculpting
The NURBS book (2nd ed.)
Ordering and Parameterizing Scattered 3D Data for B-Spline Surface Approximation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Spacetime faces: high resolution capture for modeling and animation
ACM SIGGRAPH 2004 Papers
An Open System for 3D Data Acquisition from Multiple Sensor
CAMP '05 Proceedings of the Seventh International Workshop on Computer Architecture for Machine Perception
An Effective Approach to 3D Deformable Surface Tracking
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Proceedings of the 31st DAGM Symposium on Pattern Recognition
A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition
Computer Vision and Image Understanding
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
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This contribution discusses the 3D reconstruction of deformable freeform surfaces with high spatial and temporal resolution. These are conflicting requirements, since high-resolution surface scanners typically cannot achieve high temporal resolution, while high-speed range cameras like the Time-of-Flight (ToF) cameras capture depth at 25 fps but have a limited spatial resolution. We propose to combine a high-resolution surface scan with a ToF-camera and a color camera to achieve both requirements. The 3D surface deformation is modeled by a NURBS surface that approximates the object surface and estimates the 3D object motion and local 3D deformation from the ToF and color camera data. A set of few NURBS control points can faithfully model the motion and deformation and will be estimated from the ToF and color data with high accuracy. The contribution will focus on the estimation of the 3D deformation NURBS from the ToF and color data.