DocumentCode :
1896925
Title :
Depth map super-resolution
Author :
Gevrekci, Murat ; Pakin, Kubilay
Author_Institution :
Gudum ve Elektro-Opt. Grubu, ASELSAN Mikroelektron., Turkey
fYear :
2011
fDate :
20-22 April 2011
Firstpage :
502
Lastpage :
505
Abstract :
The objective of this work is to increase the range resolution of time-of-flight (ToF) cameras. Our work aims to produce a super-resolution depth map and reduce the depth error within the whole work volume using a novel multi-exposure data acquisition technique and Projection Onto Convex Sets (POCS) reconstruction. The proposed methods will also be applicable to other imaging modalities which have the capability of acquiring range data, such as LIDAR (Light Detection and Ranging). Performance is demonstrated on using ToF and CCD camera jointly to increase both depth map and form high resolution point cloud.
Keywords :
CCD image sensors; cameras; data acquisition; image reconstruction; image resolution; CCD camera; LIDAR; POCS reconstruction; ToF cameras; depth map superresolution; high-resolution point cloud; imaging modalities; light detection and ranging; multiexposure data acquisition technique; projection onto convex set reconstruction; range resolution; time-of-flight cameras; Art; Charge coupled devices; Conferences; Image resolution; Markov processes; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4577-0462-8
Electronic_ISBN :
978-1-4577-0461-1
Type :
conf
DOI :
10.1109/SIU.2011.5929697
Filename :
5929697
Link To Document :
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