Alive Fishes Species Characterization from Video Sequences
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
A generative model for separating illumination and reflectance from images
The Journal of Machine Learning Research
A generative model for separating illumination and reflectance from images
The Journal of Machine Learning Research
Chromatic sensitivity of illumination change compensation techniques
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Bigbackground-based illumination compensation for surveillance video
Journal on Image and Video Processing - Special issue on advanced video-based surveillance
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Providing a user with an effective image search engine has been a very active research area. A search by an object model is considered one of the most desirable and yet difficult tasks. An added difficulty is that objects can be photographed under different lighting conditions. We have developed a feature localization scheme that finds a set of locales in an image. We make use of a diagonal model for illumination change and obtain a candidate set of lighting transformation coefficients in chromaticity space. For each pair of coefficients, Elastic Correlation is performed, which is a form of correlation of locale colors. A Least Square (LS) minimization for pose estimation is then applied, followed by a process of texture support and shape verification. Tests on a database of over 1,400 images and video clips show promising image retrieval results. Moreover, it has been shown that the method is capable of recovering lighting changes.