TY - GEN
T1 - Fast, accurate, small-scale 3d scene capture using a low-cost depth sensor
AU - Carey, Nicole
AU - Werfel, Justin
AU - Nagpal, Radhika
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/11
Y1 - 2017/5/11
N2 - Commercially available depth sensing devices are primarily designed for domains that are either macroscopic, or static. We develop a solution for fast microscale 3D reconstruction, using off-The-shelf components. By the addition of lenses, precise calibration of camera internals and positioning, and development of bespoke software, we turn an infrared depth sensor designed for human-scale motion and object detection into a device with mm-level accuracy capable of recording at up to 30Hz.
AB - Commercially available depth sensing devices are primarily designed for domains that are either macroscopic, or static. We develop a solution for fast microscale 3D reconstruction, using off-The-shelf components. By the addition of lenses, precise calibration of camera internals and positioning, and development of bespoke software, we turn an infrared depth sensor designed for human-scale motion and object detection into a device with mm-level accuracy capable of recording at up to 30Hz.
UR - http://www.scopus.com/inward/record.url?scp=85020218660&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85020218660&partnerID=8YFLogxK
U2 - 10.1109/WACV.2017.146
DO - 10.1109/WACV.2017.146
M3 - Conference contribution
C2 - 28758159
AN - SCOPUS:85020218660
T3 - Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017
SP - 1268
EP - 1276
BT - Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision, WACV 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE Winter Conference on Applications of Computer Vision, WACV 2017
Y2 - 24 March 2017 through 31 March 2017
ER -