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

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

DOI: 10.1145/3095140.3095171

Abstract:

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.

https://eprints.bournemouth.ac.uk/29604/

Source: Scopus

Pose Selection for Animated Scenes and a Case Study of Bas-relief Generation

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

Journal: CGI'17: PROCEEDINGS OF THE COMPUTER GRAPHICS INTERNATIONAL CONFERENCE

DOI: 10.1145/3095140.3095171

https://eprints.bournemouth.ac.uk/29604/

Source: Web of Science (Lite)

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

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

Conference: CGI '17: Proceedings of the Computer Graphics International Conference

Publisher: ACM

ISBN: 9781450352284

Abstract:

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.

https://eprints.bournemouth.ac.uk/29604/

http://dl.acm.org/citation.cfm?id=3095171

Source: BURO EPrints