Multiple View Image Reconstruction: A Harmonic Approach
Title | Multiple View Image Reconstruction: A Harmonic Approach |
Publication Type | Conference Papers |
Year of Publication | 2007 |
Authors | Domke J, Aloimonos Y |
Conference Name | IEEE Conference on Computer Vision and Pattern Recognition, 2007. CVPR '07 |
Date Published | 2007/06/17/22 |
Publisher | IEEE |
ISBN Number | 1-4244-1180-7 |
Keywords | CAMERAS, filtering theory, Geometry, Harmonic analysis, Image reconstruction, imaging process geometry, Information filtering, Joining processes, Low pass filters, low-pass filter, low-pass filters, multiple view image reconstruction, Position measurement, Power harmonic filters, surface reconstruction |
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. |
DOI | 10.1109/CVPR.2007.383285 |