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Spatio-temporal ToF data enhancement by fusion
Garcia, F.; Aouada, D.; Mirbach, B. et al.
2012In Proceedings - International Conference on Image Processing, ICIP, p. 981-984
Peer reviewed
 

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Keywords :
Time of Flight; Data enhancement; Depth Map; Depth measurements; Frame rate; Low resolution; Multi-camera rigs; Multimodal sensor; Sensor fusion; Space and time; Spatial domains; Spatio-temporal; Spatio-temporal data; Temporal domain; ToF cameras; Video frame; Cameras; Image processing; Sensors; Sensor data fusion
Abstract :
[en] We propose an extension of our previous work on spatial domain Time-of-Flight (ToF) data enhancement to the temporal domain. Our goal is to generate enhanced depth maps at the same frame rate of the 2-D camera that, coupled with a ToF camera, constitutes a hybrid ToF multi-camera rig. To that end, we first estimate the motion between consecutive 2-D frames, and then use it to predict their corresponding depth maps. The enhanced depth maps result from the fusion between the recorded 2-D frames and the predicted depth maps by using our previous contribution on ToF data enhancement. The experimental results show that the proposed approach overcomes the ToF camera drawbacks; namely, low resolution in space and time and high level of noise within depth measurements, providing enhanced depth maps at video frame rate. © 2012 IEEE.
Disciplines :
Electrical & electronics engineering
Identifiers :
eid=2-s2.0-84875844927
Author, co-author :
Garcia, F.;  SnT - Universtity of Luxembourg, Luxembourg
Aouada, D.;  SnT - Universtity of Luxembourg, Luxembourg
Mirbach, B.;  Advanced Engineering - IEE S.A., Luxembourg
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
Spatio-temporal ToF data enhancement by fusion
Publication date :
2012
Event name :
2012 19th IEEE International Conference on Image Processing, ICIP 2012
Event date :
30 September 2012 through 3 October 2012
Audience :
International
Journal title :
Proceedings - International Conference on Image Processing, ICIP
ISSN :
1522-4880
Pages :
981-984
Peer reviewed :
Peer reviewed
Funders :
The Institute of Electrical and Electronics Engineers (IEEE);IEEE Signal Processing Society;Army Research Office;Digimarc;Disney Research
Commentary :
95956 9781467325332
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