TY - GEN
T1 - Depth enhancement by fusion for passive and active sensing
AU - Garcia, Frederic
AU - Aouada, Djamila
AU - Abdella, Hashim Kemal
AU - Solignac, Thomas
AU - Mirbach, Bruno
AU - Ottersten, Björn
N1 - Funding Information:
This work was supported by the National Research Fund, Luxembourg, under the CORE project C11/BM/1204105/FAVE/Ottersten.
PY - 2012
Y1 - 2012
N2 - This paper presents a general refinement procedure that enhances any given depth map obtained by passive or active sensing. Given a depth map, either estimated by triangulation methods or directly provided by the sensing system, and its corresponding 2-D image, we correct the depth values by separately treating regions with undesired effects such as empty holes, texture copying or edge blurring due to homogeneous regions, occlusions, and shadowing. In this work, we use recent depth enhancement filters intended for Time-of-Flight cameras, and adapt them to alternative depth sensing modalities, both active using an RGB-D camera and passive using a dense stereo camera. To that end, we propose specific masks to tackle areas in the scene that require a special treatment. Our experimental results show that such areas are satisfactorily handled by replacing erroneous depth measurements with accurate ones.
AB - This paper presents a general refinement procedure that enhances any given depth map obtained by passive or active sensing. Given a depth map, either estimated by triangulation methods or directly provided by the sensing system, and its corresponding 2-D image, we correct the depth values by separately treating regions with undesired effects such as empty holes, texture copying or edge blurring due to homogeneous regions, occlusions, and shadowing. In this work, we use recent depth enhancement filters intended for Time-of-Flight cameras, and adapt them to alternative depth sensing modalities, both active using an RGB-D camera and passive using a dense stereo camera. To that end, we propose specific masks to tackle areas in the scene that require a special treatment. Our experimental results show that such areas are satisfactorily handled by replacing erroneous depth measurements with accurate ones.
KW - active sensing
KW - data fusion
KW - depth enhancement
KW - passive sensing
UR - http://www.scopus.com/inward/record.url?scp=84867692116&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-33885-4_51
DO - 10.1007/978-3-642-33885-4_51
M3 - Conference contribution
AN - SCOPUS:84867692116
SN - 9783642338847
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 506
EP - 515
BT - Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings
PB - Springer Verlag
T2 - Computer Vision, ECCV 2012 - Workshops and Demonstrations, Proceedings
Y2 - 7 October 2012 through 13 October 2012
ER -