Simultaneous Time-of-Flight sensing and photometric stereo with a single ToF sensor

Changpeng Ti; Ruigang Yang; James Davis; Zhigeng Pan

doi:10.1109/CVPR.2015.7299062

Simultaneous Time-of-Flight sensing and photometric stereo with a single ToF sensor

Changpeng Ti, Ruigang Yang, James Davis, Zhigeng Pan

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Scopus citations

Abstract

We present a novel system which incorporates photometric stereo with the Time-of-Flight depth sensor. Adding to the classic ToF, the system utilizes multiple point light sources that enable the capturing of a normal field whilst taking depth images. Two calibration methods are proposed to determine the light sources' positions given the ToF sensor's relatively low resolution. An iterative refinement algorithm is formulated to account for the extra phase delays caused by the positions of the light sources. We find in experiments that the system is comparable to the classic ToF in depth accuracy, and it is able to recover finer details that are lost due to the noise level of the ToF sensor.

Original language	English
Title of host publication	IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
Pages	4334-4342
Number of pages	9
ISBN (Electronic)	9781467369640
DOIs	https://doi.org/10.1109/CVPR.2015.7299062
State	Published - Oct 14 2015
Event	IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015 - Boston, United States Duration: Jun 7 2015 → Jun 12 2015

Publication series

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume	07-12-June-2015
ISSN (Print)	1063-6919

Conference

Conference	IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
Country/Territory	United States
City	Boston
Period	6/7/15 → 6/12/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition

Access to Document

10.1109/CVPR.2015.7299062

Cite this

Ti, C., Yang, R., Davis, J., & Pan, Z. (2015). Simultaneous Time-of-Flight sensing and photometric stereo with a single ToF sensor. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015 (pp. 4334-4342). Article 7299062 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 07-12-June-2015). https://doi.org/10.1109/CVPR.2015.7299062

@inproceedings{e16869a81f5e4623bdbb6bf372f72754,

title = "Simultaneous Time-of-Flight sensing and photometric stereo with a single ToF sensor",

abstract = "We present a novel system which incorporates photometric stereo with the Time-of-Flight depth sensor. Adding to the classic ToF, the system utilizes multiple point light sources that enable the capturing of a normal field whilst taking depth images. Two calibration methods are proposed to determine the light sources' positions given the ToF sensor's relatively low resolution. An iterative refinement algorithm is formulated to account for the extra phase delays caused by the positions of the light sources. We find in experiments that the system is comparable to the classic ToF in depth accuracy, and it is able to recover finer details that are lost due to the noise level of the ToF sensor.",

author = "Changpeng Ti and Ruigang Yang and James Davis and Zhigeng Pan",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015 ; Conference date: 07-06-2015 Through 12-06-2015",

year = "2015",

month = oct,

day = "14",

doi = "10.1109/CVPR.2015.7299062",

language = "English",

series = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

pages = "4334--4342",

booktitle = "IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015",

}

Ti, C, Yang, R, Davis, J & Pan, Z 2015, Simultaneous Time-of-Flight sensing and photometric stereo with a single ToF sensor. in IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015., 7299062, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 07-12-June-2015, pp. 4334-4342, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, United States, 6/7/15. https://doi.org/10.1109/CVPR.2015.7299062

Simultaneous Time-of-Flight sensing and photometric stereo with a single ToF sensor. / Ti, Changpeng; Yang, Ruigang; Davis, James et al.
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. 2015. p. 4334-4342 7299062 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 07-12-June-2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Simultaneous Time-of-Flight sensing and photometric stereo with a single ToF sensor

AU - Ti, Changpeng

AU - Yang, Ruigang

AU - Davis, James

AU - Pan, Zhigeng

PY - 2015/10/14

Y1 - 2015/10/14

N2 - We present a novel system which incorporates photometric stereo with the Time-of-Flight depth sensor. Adding to the classic ToF, the system utilizes multiple point light sources that enable the capturing of a normal field whilst taking depth images. Two calibration methods are proposed to determine the light sources' positions given the ToF sensor's relatively low resolution. An iterative refinement algorithm is formulated to account for the extra phase delays caused by the positions of the light sources. We find in experiments that the system is comparable to the classic ToF in depth accuracy, and it is able to recover finer details that are lost due to the noise level of the ToF sensor.

AB - We present a novel system which incorporates photometric stereo with the Time-of-Flight depth sensor. Adding to the classic ToF, the system utilizes multiple point light sources that enable the capturing of a normal field whilst taking depth images. Two calibration methods are proposed to determine the light sources' positions given the ToF sensor's relatively low resolution. An iterative refinement algorithm is formulated to account for the extra phase delays caused by the positions of the light sources. We find in experiments that the system is comparable to the classic ToF in depth accuracy, and it is able to recover finer details that are lost due to the noise level of the ToF sensor.

UR - http://www.scopus.com/inward/record.url?scp=84959254012&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84959254012&partnerID=8YFLogxK

U2 - 10.1109/CVPR.2015.7299062

DO - 10.1109/CVPR.2015.7299062

M3 - Conference contribution

AN - SCOPUS:84959254012

T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

SP - 4334

EP - 4342

BT - IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015

T2 - IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015

Y2 - 7 June 2015 through 12 June 2015

ER -

Simultaneous Time-of-Flight sensing and photometric stereo with a single ToF sensor

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this