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
Source: 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

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