TY - GEN
T1 - Real-time surface of revolution reconstruction on dense SLAM
AU - Yang, Liming
AU - Uchiyama, Hideaki
AU - Normand, Jean Marie
AU - Moreau, Guillaume
AU - Nagahara, Hajime
AU - Taniguchi, Rin Ichiro
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/15
Y1 - 2016/12/15
N2 - We present a fast and accurate method for reconstructing surfaces of revolution (SoR) on 3D data and its application to structural modeling of a cluttered scene in real-time. To estimate a SoR axis, we derive an approximately linear cost function for fast convergence. Also, we design a framework for reconstructing SoR on dense SLAM. In the experiment results, we show our method is accurate, robust to noise and runs in real-time.
AB - We present a fast and accurate method for reconstructing surfaces of revolution (SoR) on 3D data and its application to structural modeling of a cluttered scene in real-time. To estimate a SoR axis, we derive an approximately linear cost function for fast convergence. Also, we design a framework for reconstructing SoR on dense SLAM. In the experiment results, we show our method is accurate, robust to noise and runs in real-time.
UR - http://www.scopus.com/inward/record.url?scp=85011263045&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85011263045&partnerID=8YFLogxK
U2 - 10.1109/3DV.2016.13
DO - 10.1109/3DV.2016.13
M3 - Conference contribution
AN - SCOPUS:85011263045
T3 - Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016
SP - 28
EP - 36
BT - Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on 3D Vision, 3DV 2016
Y2 - 25 October 2016 through 28 October 2016
ER -