PT Unknown
AU Antonio Hernandez
   Carlos Primo
   Sergio Escalera
TI Automatic user interaction correction via Multi-label Graph cuts
BT In ICCV 2011 1st IEEE International Workshop on Human Interaction in Computer Vision HICV
PY 2011
BP 1276
EP 1281
DI 10.1109/ICCVW.2011.6130398
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 α-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 α-expansion algorithm.
ER