DocumentCode :
2037125
Title :
Recovering Intrinsic Images using an Illumination Invariant Image
Author :
Farenzena, M. ; Fusiello, A.
Author_Institution :
Univ. di Verona, Verona
Volume :
3
fYear :
2007
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2007.4379352
Filename :
4379352
Link To Document :
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