DocumentCode :
3018334
Title :
Multiple View Image Reconstruction: A Harmonic Approach
Author :
Domke, Justin ; Aloimonos, Yiannis
Author_Institution :
Univ. of Maryland, College Park
fYear :
2007
fDate :
17-22 June 2007
Firstpage :
1
Lastpage :
8
Abstract :
This paper presents a new constraint connecting the signals in multiple views of a surface. The constraint arises from a harmonic analysis of the geometry of the imaging process and it gives rise to a new technique for multiple view image reconstruction. Given several views of a surface from different positions, fundamentally different information is present in each image, owing to the fact that cameras measure the incoming light only after the application of a low-pass filter. Our analysis shows how the geometry of the imaging is connected to this filtering. This leads to a technique for constructing a single output image containing all the information present in the input images.
Keywords :
filtering theory; geometry; harmonic analysis; image reconstruction; low-pass filters; harmonic analysis; imaging process geometry; low-pass filter; multiple view image reconstruction; surface reconstruction; Cameras; Geometry; Harmonic analysis; Image reconstruction; Information filtering; Joining processes; Low pass filters; Position measurement; Power harmonic filters; Surface reconstruction;
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.2007.383285
Filename :
4270310
Link To Document :
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