DocumentCode :
3672111
Title :
3D scanning deformable objects with a single RGBD sensor
Author :
Mingsong Dou;Jonathan Taylor;Henry Fuchs;Andrew Fitzgibbon;Shahram Izadi
Author_Institution :
Department of Computer Science, UNC-Chapel Hill, USA
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
493
Lastpage :
501
Abstract :
We present a 3D scanning system for deformable objects that uses only a single Kinect sensor. Our work allows considerable amount of nonrigid deformations during scanning, and achieves high quality results without heavily constraining user or camera motion. We do not rely on any prior shape knowledge, enabling general object scanning with freeform deformations. To deal with the drift problem when nonrigidly aligning the input sequence, we automatically detect loop closures, distribute the alignment error over the loop, and finally use a bundle adjustment algorithm to optimize for the latent 3D shape and nonrigid deformation parameters simultaneously. We demonstrate high quality scanning results in some challenging sequences, comparing with state of art nonrigid techniques, as well as ground truth data.
Keywords :
"Three-dimensional displays","Deformable models","Shape","Cameras","Surface reconstruction","Standards","Noise measurement"
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2015.7298647
Filename :
7298647
Link To Document :
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