Vision and the Atmosphere Export

@article{Narasimhan2002, abstract = {Current vision systems are designed to perform in clear weather. Needless to say, in any outdoor application, there is no escape from ” bad” weather. Ultimately, computer vision systems must include mechanisms that enable them to function (even if somewhat less reliably) in the presence of haze, fog, rain, hail and snow.}, author = {Narasimhan, Srinivasa G. and Nayar, Shree K.}, citeulike-article-id = {2365456}, citeulike-linkout-0 = {http://dx.doi.org/10.1023/A:1016328200723}, day = {1}, doi = {10.1023/A:1016328200723}, journal = {International Journal of Computer Vision}, keywords = {atmosphere, depth, distance, fog}, month = {July}, number = {3}, pages = {233--254}, posted-at = {2008-02-12 10:03:33}, priority = {4}, title = {Vision and the Atmosphere}, url = {http://dx.doi.org/10.1023/A:1016328200723}, volume = {48}, year = {2002} }

TY - JOUR ID - Narasimhan2002 L3 - citeulike-article-id:2365456 N2 - Current vision systems are designed to perform in clear weather. Needless to say, in any outdoor application, there is no escape from “bad” weather. Ultimately, computer vision systems must include mechanisms that enable them to function (even if somewhat less reliably) in the presence of haze, fog, rain, hail and snow. IS - 3 JF - International Journal of Computer Vision EP - 254 TI - Vision and the Atmosphere VL - 48 SP - 233 KW - atmosphere KW - depth KW - distance KW - fog AU - Narasimhan, Srinivasa AU - Nayar, Shree PY - 2002/07/01/ UR - http://dx.doi.org/10.1023/A:1016328200723 ER -