Rigid body motion from range image sequences
CVGIP: Image Understanding
Signal Processing for Computer Vision
Signal Processing for Computer Vision
Direct Estimation of Range Flow on Deformable Shape From a Video Rate Range Camera
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Differential Range Flow Estimation
Mustererkennung 1999, 21. DAGM-Symposium
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Dense Range Flow from Depth and Intensity Data
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Range Flow for Varying Illumination
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
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We compute the range flow field, i.e. the 3D velocity field, of a moving deformable surface from a sequence of range data. This is done in a differential framework for which we derive a new constraint equation that can be evaluated directly on the sensor data grid. It is shown how 3D structure and intensity information can be used together in the estimation process. We then introduce a method to compute surface expansion rates from the now available velocity field. The accuracy of the proposed scheme is assessed on a synthetic data set. Finally we apply the algorithm to study 3D leaf motion and growth on a real range sequence.