Please use this identifier to cite or link to this item:
https://doi.org/10.1109/CVPRW.2009.5206732
Title: | Photometric stereo and weather estimation using internet images | Authors: | Shen, L. Tan, P. |
Issue Date: | 2009 | Citation: | Shen, L.,Tan, P. (2009). Photometric stereo and weather estimation using internet images. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009 : 1850-1857. ScholarBank@NUS Repository. https://doi.org/10.1109/CVPRW.2009.5206732 | Abstract: | We extend photometric stereo to make it work with internet images, which are typically associated with different viewpoints and significant noise. For popular tourism sites, thousands of images can be obtained from internet search engines. With these images, our method computes the global illumination for each image and the surface orientation at some scene points. The illumination information can then be used to estimate the weather conditions (such as sunny or cloudy) for each image, since there is a strong correlation between weather and scene illumination. We demonstrate our method on several challenging examples. ©2009 IEEE. | Source Title: | 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009 | URI: | http://scholarbank.nus.edu.sg/handle/10635/71441 | ISBN: | 9781424439935 | DOI: | 10.1109/CVPRW.2009.5206732 |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.