TY - GEN
T1 - Automatic user interaction correction via Multi-label Graph cuts
AU - Hernández-Vela, Antonio
AU - Primo, Carlos
AU - Escalera, Sergio
PY - 2011
Y1 - 2011
N2 - Most applications in image segmentation requires from user interaction in order to achieve accurate results. However, user wants to achieve the desired segmentation accuracy reducing effort of manual labelling. In this work, we extend standard multi-label-expansion Graph Cut algorithm so that it analyzes the interaction of the user in order to modify the object model and improve final segmentation of objects. The approach is inspired in the fact that fast user interactions may introduce some pixel errors confusing object and background. Our results with different degrees of user interaction and input errors show high performance of the proposed approach on a multi-label human limb segmentation problem compared with classical-expansion algorithm.
AB - Most applications in image segmentation requires from user interaction in order to achieve accurate results. However, user wants to achieve the desired segmentation accuracy reducing effort of manual labelling. In this work, we extend standard multi-label-expansion Graph Cut algorithm so that it analyzes the interaction of the user in order to modify the object model and improve final segmentation of objects. The approach is inspired in the fact that fast user interactions may introduce some pixel errors confusing object and background. Our results with different degrees of user interaction and input errors show high performance of the proposed approach on a multi-label human limb segmentation problem compared with classical-expansion algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84856640137&partnerID=8YFLogxK
U2 - 10.1109/ICCVW.2011.6130398
DO - 10.1109/ICCVW.2011.6130398
M3 - Article in proceeding
AN - SCOPUS:84856640137
SN - 9781467300629
T3 - Proceedings of the IEEE International Conference on Computer Vision
SP - 1276
EP - 1281
BT - 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
T2 - 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
Y2 - 6 November 2011 through 13 November 2011
ER -