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Multiple View Image Reconstruction: A Harmonic Approach

Justin Domke, Yiannis Aloimonos
CVPR 2007
doi:10.1109/CVPR.2007.383285 /cvpr/2007/domke2007cvpr-multiple/

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.

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Cite

Text

Domke and Aloimonos. "Multiple View Image Reconstruction: A Harmonic Approach." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.383285

Markdown

[Domke and Aloimonos. "Multiple View Image Reconstruction: A Harmonic Approach." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/domke2007cvpr-multiple/) doi:10.1109/CVPR.2007.383285

BibTeX

@inproceedings{domke2007cvpr-multiple,
  title     = {{Multiple View Image Reconstruction: A Harmonic Approach}},
  author    = {Domke, Justin and Aloimonos, Yiannis},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2007},
  doi       = {10.1109/CVPR.2007.383285},
  url       = {https://mlanthology.org/cvpr/2007/domke2007cvpr-multiple/}
}