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

Wang, M., Guo, S., Liao, M.H., He, D., Chang, J., Zhang, J. J. and Zhang, Z., 2017. Pose selection for animated scenes and a case study of bas-relief generation. In: CGI '17: Proceedings of the Computer Graphics International Conference, 27-30 June 2017, Yokohama, Japan.

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Available under License Creative Commons Attribution Non-commercial No Derivatives.


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DOI: 10.1145/3095140.3095171


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.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Action Snapshot; Information Entropy; Pose; Bas-relief
Group:Faculty of Media & Communication
ID Code:29604
Deposited By: Symplectic RT2
Deposited On:25 Aug 2017 14:25
Last Modified:14 Mar 2022 14:06


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