DocumentCode :
3016947
Title :
Spatial-Depth Super Resolution for Range Images
Author :
Yang, Qingxiong ; Yang, Ruigang ; Davis, James ; Nistér, David
Author_Institution :
Univ. of Kentucky, Lexington
fYear :
2007
fDate :
17-22 June 2007
Firstpage :
1
Lastpage :
8
Abstract :
We present a new post-processing step to enhance the resolution of range images. Using one or two registered and potentially high-resolution color images as reference, we iteratively refine the input low-resolution range image, in terms of both its spatial resolution and depth precision. Evaluation using the Middlebury benchmark shows across-the-board improvement for sub-pixel accuracy. We also demonstrated its effectiveness for spatial resolution enhancement up to 100 times with a single reference image.
Keywords :
image colour analysis; image enhancement; image resolution; high-resolution color images; image resolution enhancement; middlebury benchmark; spatial-depth super resolution; subpixel accuracy; Cameras; Color; Cost function; Filters; Image resolution; Markov random fields; Pulse measurements; Spatial resolution; Stereo vision; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
ISSN :
1063-6919
Print_ISBN :
1-4244-1179-3
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2007.383211
Filename :
4270236
Link To Document :
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