Pose selection for animated scenes and a case study of bas-relief generation

This source preferred by Jian Chang and Jian Jun Zhang

This data was imported from Scopus:

Authors: Wang, M., Guo, S., Liao, M., He, D., Chang, J., Zhang, J. and Zhang, Z.


Journal: ACM International Conference Proceeding Series

Volume: Part F128640

ISBN: 9781450352284

DOI: 10.1145/3095140.3095171

© 2017 ACM. This paper aims to automate the process of generating a meaningful single still image from a temporal input of scene sequences. The success of our extraction relies on evaluating the optimal pose of characters selection, which should maximize the information conveyed. We define the information entropy of the still image candidates as the evaluation criteria. To validate our method and to demonstrate its effectiveness, we generated a relief (as a unique form of art creation) to narrate given temporal action scenes. A user study was conducted to experimentally compare the computer-selected poses with those selected by human participants. The results show that the proposed method can assist the selection of informative pose of character effectively.

The data on this page was last updated at 04:43 on March 22, 2018.