TY - GEN
T1 - Real-time hybrid ToF multi-camera rig fusion system for depth map enhancement
AU - Garcia, Frederic
AU - Aouada, Djamila
AU - Mirbach, Bruno
AU - Solignac, Thomas
AU - Ottersten, Björn
PY - 2011
Y1 - 2011
N2 - We present a full real-time implementation of a multilateral filtering system for depth sensor data fusion with 2-D data. For such a system to perform in real-time, it is necessary to have a real-time implementation of the filter, but also a real-time alignment of the data to be fused. To achieve an automatic data mapping, we express disparity as a function of the distance between the scene and the cameras, and simplify the matching procedure to a simple indexation procedure. Our experiments show that this implementation ensures the fusion of 3-D data and 2-D data in real-time and with high accuracy.
AB - We present a full real-time implementation of a multilateral filtering system for depth sensor data fusion with 2-D data. For such a system to perform in real-time, it is necessary to have a real-time implementation of the filter, but also a real-time alignment of the data to be fused. To achieve an automatic data mapping, we express disparity as a function of the distance between the scene and the cameras, and simplify the matching procedure to a simple indexation procedure. Our experiments show that this implementation ensures the fusion of 3-D data and 2-D data in real-time and with high accuracy.
UR - http://www.scopus.com/inward/record.url?scp=80054951743&partnerID=8YFLogxK
U2 - 10.1109/CVPRW.2011.5981740
DO - 10.1109/CVPRW.2011.5981740
M3 - Conference contribution
AN - SCOPUS:80054951743
SN - 9781457705298
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
BT - 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
T2 - 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
Y2 - 20 June 2011 through 25 June 2011
ER -