Reference : Spatio-temporal ToF data enhancement by fusion

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/25562

Title :	Spatio-temporal ToF data enhancement by fusion
Language :	English
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) >]
Publication date :	2012
Journal title :	Proceedings - International Conference on Image Processing, ICIP
Pages :	981-984
Peer reviewed :	Yes
Audience :	International
ISSN :	15224880
Event name :	2012 19th IEEE International Conference on Image Processing, ICIP 2012
Event date :	30 September 2012 through 3 October 2012
Event place (city) :	Lake Buena Vista, FL
Keywords :	[en] 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 ; Time of flight ; 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.
Funders :	The Institute of Electrical and Electronics Engineers (IEEE);IEEE Signal Processing Society;Army Research Office;Digimarc;Disney Research
Permalink :	http://hdl.handle.net/10993/25562
DOI :	10.1109/ICIP.2012.6467026
Commentary :	95956 9781467325332

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