Title :
Recovering Intrinsic Images using an Illumination Invariant Image
Author :
Farenzena, M. ; Fusiello, A.
Author_Institution :
Univ. di Verona, Verona
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
In this paper a method for the extraction of shading and reflectance intrinsic images from a single uncalibrated image is presented. It is based on the classification of the image derivatives as either caused by shading or reflectance effects, using an illumination-invariant image to guide this classification. Our approach avoids the learning process -which requires ground truth intrinsic images -and obtain results comparable with the state of the art.
Keywords :
feature extraction; image classification; illumination invariant image; image classification; reflectance intrinsic image; shading intrinsic image; uncalibrated image; Context modeling; Filtering; Frequency; Layout; Lighting; Markov random fields; Reflectivity; Rendering (computer graphics); Shape; Testing; Intrinsic Images; Reflectance Recovery;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379352