Multiple View Image Reconstruction: A Harmonic Approach

TitleMultiple View Image Reconstruction: A Harmonic Approach
Publication TypeConference Papers
Year of Publication2007
AuthorsDomke J, Aloimonos Y
Conference NameIEEE Conference on Computer Vision and Pattern Recognition, 2007. CVPR '07
Date Published2007/06/17/22
ISBN Number1-4244-1180-7
KeywordsCAMERAS, 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

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.