TY - GEN
T1 - TransCut
T2 - 15th IEEE International Conference on Computer Vision, ICCV 2015
AU - Xu, Yichao
AU - Nagahara, Hajime
AU - Shimada, Atsushi
AU - Taniguchi, Rin Ichiro
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/2/17
Y1 - 2015/2/17
N2 - The segmentation of transparent objects can be very useful in computer vision applications. However, because they borrow texture from their background and have a similar appearance to their surroundings, transparent objects are not handled well by regular image segmentation methods. We propose a method that overcomes these problems using the consistency and distortion properties of a light-field image. Graph-cut optimization is applied for the pixel labeling problem. The light-field linearity is used to estimate the likelihood of a pixel belonging to the transparent object or Lambertian background, and the occlusion detector is used to find the occlusion boundary. We acquire a light field dataset for the transparent object, and use this dataset to evaluate our method. The results demonstrate that the proposed method successfully segments transparent objects from the background.
AB - The segmentation of transparent objects can be very useful in computer vision applications. However, because they borrow texture from their background and have a similar appearance to their surroundings, transparent objects are not handled well by regular image segmentation methods. We propose a method that overcomes these problems using the consistency and distortion properties of a light-field image. Graph-cut optimization is applied for the pixel labeling problem. The light-field linearity is used to estimate the likelihood of a pixel belonging to the transparent object or Lambertian background, and the occlusion detector is used to find the occlusion boundary. We acquire a light field dataset for the transparent object, and use this dataset to evaluate our method. The results demonstrate that the proposed method successfully segments transparent objects from the background.
UR - http://www.scopus.com/inward/record.url?scp=84973868158&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973868158&partnerID=8YFLogxK
U2 - 10.1109/ICCV.2015.393
DO - 10.1109/ICCV.2015.393
M3 - Conference contribution
AN - SCOPUS:84973868158
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 3442
EP - 3450
BT - 2015 International Conference on Computer Vision, ICCV 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 December 2015 through 18 December 2015
ER -