Authors
Mingsong Dou, Jonathan Taylor, Henry Fuchs, Andrew Fitzgibbon, Shahram Izadi
Publication date
2015
Conference
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
Pages
493-501
Description
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.
Total citations
201520162017201820192020202120222023202462733262519167104
Scholar articles
M Dou, J Taylor, H Fuchs, A Fitzgibbon, S Izadi - Proceedings of the IEEE Conference on Computer …, 2015