TY - GEN
T1 - RGBD-fusion
T2 - IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
AU - Or-El, Roy
AU - Rosman, Guy
AU - Wetzler, Aaron
AU - Kimmel, Ron
AU - Bruckstein, Alfred M.
N1 - Publisher Copyright: © 2015 IEEE.
PY - 2015/10/14
Y1 - 2015/10/14
N2 - The popularity of low-cost RGB-D scanners is increasing on a daily basis. Nevertheless, existing scanners often cannot capture subtle details in the environment. We present a novel method to enhance the depth map by fusing the intensity and depth information to create more detailed range profiles. The lighting model we use can handle natural scene illumination. It is integrated in a shape from shading like technique to improve the visual fidelity of the reconstructed object. Unlike previous efforts in this domain, the detailed geometry is calculated directly, without the need to explicitly find and integrate surface normals. In addition, the proposed method operates four orders of magnitude faster than the state of the art. Qualitative and quantitative visual and statistical evidence support the improvement in the depth obtained by the suggested method.
AB - The popularity of low-cost RGB-D scanners is increasing on a daily basis. Nevertheless, existing scanners often cannot capture subtle details in the environment. We present a novel method to enhance the depth map by fusing the intensity and depth information to create more detailed range profiles. The lighting model we use can handle natural scene illumination. It is integrated in a shape from shading like technique to improve the visual fidelity of the reconstructed object. Unlike previous efforts in this domain, the detailed geometry is calculated directly, without the need to explicitly find and integrate surface normals. In addition, the proposed method operates four orders of magnitude faster than the state of the art. Qualitative and quantitative visual and statistical evidence support the improvement in the depth obtained by the suggested method.
UR - http://www.scopus.com/inward/record.url?scp=84959229283&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2015.7299179
DO - 10.1109/CVPR.2015.7299179
M3 - منشور من مؤتمر
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 5407
EP - 5416
BT - IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
Y2 - 7 June 2015 through 12 June 2015
ER -