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2007 IEEE Conference on Computer Vision and Pattern Recognition (2007)
Minneapolis, MN, USA
June 17, 2007 to June 22, 2007
ISBN: 1-4244-1179-3
pp: 1-8
Justin Domke , Center for Automation Research, Department of Computer Science, University of Maryland, College Park
Yiannis Aloimonos , Center for Automation Research, Department of Computer Science, University of Maryland, College Park
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.
INDEX TERMS
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CITATION

J. Domke and Y. Aloimonos, "Multiple View Image Reconstruction: A Harmonic Approach," 2007 IEEE Conference on Computer Vision and Pattern Recognition(CVPR), Minneapolis, MN, USA, 2007, pp. 1-8.
doi:10.1109/CVPR.2007.383285
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