TY - GEN
T1 - Finding glass
AU - McHenry, Kenton
AU - Ponce, Jean
AU - Forsyth, David
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=24644456086&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=24644456086&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2005.161
DO - 10.1109/CVPR.2005.161
M3 - Conference contribution
AN - SCOPUS:24644456086
SN - 0769523722
SN - 9780769523729
T3 - Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
SP - 973
EP - 979
BT - Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
PB - IEEE Computer Society
T2 - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
Y2 - 20 June 2005 through 25 June 2005
ER -