DocumentCode
3549199
Title
Finding glass
Author
McHenry, Kenton ; Ponce, Jean ; Forsyth, David
Author_Institution
Beckman Inst., Illinois Univ., Urbana, IL, USA
Volume
2
fYear
2005
fDate
20-25 June 2005
Firstpage
973
Abstract
This paper addresses the problem of finding glass objects in images. Visual cues obtained by combining the systematic distortions in background texture occurring at the boundaries of transparent objects with the strong highlights typical of glass surfaces are used to train a hierarchy of classifiers, identify glass edges, and find consistent support regions for these edges. Qualitative and quantitative experiments involving a number of different classifiers and real images are presented.
Keywords
edge detection; feature extraction; glass; image classification; image texture; object detection; edge detection; glass object detection; image contour; image texture; real images; systematic distortion; visual cues; Computed tomography; Computer science; Detectors; Displays; Glass; Image edge detection; Object detection; Shape; Surface texture; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN
1063-6919
Print_ISBN
0-7695-2372-2
Type
conf
DOI
10.1109/CVPR.2005.161
Filename
1467548
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