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
ISBN: 9781450352284
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