| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
Ond{\v r}ej Drbohlav
ABSTRACT
Among properties computer vision attempts to extract from im- ages are local shape and object optical parameters, because they are crucial to the success of image interpretation in general and to realistic surface modeling in particular. We seek light re phenomena and re models that could better capture the relation of re- light parameters to the local properties of the observed object. In addition to the relation intensity shape studied in computer vision for a long time, we study the relation of other light characteristics to local shape. We started by focusing on light polarization state. We found the generalization of the Lambert's re model based on Fresnel coeÆcients to predict the polarization state of light re on smooth dielectrics correctly. Both the light incidence and the viewer plane orientations may be measured to estimate the sur- face normal if light position relative to the observer is known. It is demonstrated that interre between surfaces play an important role, especially near the shadow boundary where the body re component is very weak. |
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