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Deviation magnification : Revealing departures from ideal geometries Citation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wadhwa, Neal Dekel, Tali Wei, Donglai Durand, Frédo Freeman, William T. |
| Copyright Year | 2015 |
| Abstract | Structures and objects are often supposed to have idealized geometries such as straight lines or circles. Although not always visible to the naked eye, in reality, these objects deviate from their idealized models. Our goal is to reveal and visualize such subtle geometric deviations, which can contain useful, surprising information about our world. Our framework, termed Deviation Magnification, takes a still image as input, fits parametric models to objects of interest, computes the geometric deviations, and renders an output image in which the departures from ideal geometries are exaggerated. We demonstrate the correctness and usefulness of our method through quantitative evaluation on a synthetic dataset and by application to challenging natural images. CR Categories: I.4.8 [Image Processing and Computer Vision]: Scene Analysis—Shape; |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://dspace.mit.edu/openaccess-disseminate/1721.1/99938 |
| Alternate Webpage(s) | http://people.csail.mit.edu/billf/publications/deviationMagnification.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
