DocumentCode :
38564
Title :
Stereo Time-of-Flight with Constructive Interference
Author :
Castaneda, Victor ; Mateus, Diana ; Navab, Nassir
Author_Institution :
Comput. Sci. DepartmentComputer Aided Med. Procedures (CAMP), Tech. Univ. Munchen (TUM), Münich, Germany
Volume :
36
Issue :
7
fYear :
2014
fDate :
Jul-14
Firstpage :
1402
Lastpage :
1413
Abstract :
This paper describes a novel method to acquire depth images using a pair of ToF (Time-of-Flight) cameras. As opposed to approaches that filter, calibrate or do 3D reconstructions posterior to the image acquisition, we combine the measurements of the two cameras within a modified acquisition procedure. The new proposed stereo-ToF acquisition is composed of three stages during which we actively modify the infrared lighting of the scene: first, the two cameras emit an infrared signal one after the other (stages 1 and 2), and then, simultaneously (stage 3). Assuming the scene is static during the three stages, we gather the depth measurements obtained with both cameras and define a cost function to optimize the two depth images. A qualitative and quantitative evaluation of the performance of the proposed stereo-ToF acquisition is provided both for simulated and real ToF cameras. In both cases, the stereo-ToF acquisition produces more accurate depth measurements. Moreover, an extension to the multi-view ToF case and a detailed study on the interference specifications of the system are included.
Keywords :
image reconstruction; image sensors; infrared imaging; interference (signal); spatial variables measurement; stereo image processing; 3D reconstructions; ToF cameras; constructive interference; cost function; depth image acquisition; depth measurements; infrared lighting; infrared signal; stereo time-of-flight acquisition; stereo-ToF acquisition; Biomedical measurement; Cameras; Cost function; Interference; Lighting; Three-dimensional displays; Emerging technologies; Reconstruction; Sensors; Time-of-Flight; constructive interference; multi-view system; sensor;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.2013.195
Filename :
6620873
Link To Document :
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