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

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.

[1]  Klaus Speidel,et al.  Can a Single Still Picture Tell a Story? Definitions of Narrative and the Alleged Problem of Time with Single Still Pictures , 2013 .

[2]  Dongjian He,et al.  Saliency-based relief generation , 2013 .

[3]  Richard Williams,et al.  The Animator's Survival Kit : A Manual of Methods, Principles and Formulas for Classical, Computer, Games, Stop Motion and Internet Animators , 2019 .

[4]  Sabine Süsstrunk,et al.  High Reliefs from 3D Scenes , 2015, Comput. Graph. Forum.

[5]  Richard Williams.  The Animator's Survival Kit--Revised Edition: A Manual of Methods, Principles and Formulas for Classical, Computer, Games, Stop Motion and Internet Animators , 2009 .

[6]  Yu-Wei Zhang,et al.  Bas-Relief Generation and Shape Editing through Gradient-Based Mesh Deformation , 2015, IEEE Transactions on Visualization and Computer Graphics.

[7]  Chun-Fa Chang,et al.  Key Probe: a technique for animation keyframe extraction , 2005, The Visual Computer.

[8]  W. Wolf.  Narrative and narrativity: A narratological reconceptualization and its applicability to the visual arts , 2003 .

[9]  Michael Gleicher,et al.  Staggered poses: a character motion representation for detail-preserving editing of pose and coordinated timing , 2008, SCA '08.

[10]  Shi Li,et al.  Real‐time Bas‐Relief Generation from Depth‐and‐Normal Maps on GPU , 2014, Comput. Graph. Forum.

[11]  Tolga K. Çapin,et al.  Multiscale motion saliency for keyframe extraction from motion capture sequences , 2011, Comput. Animat. Virtual Worlds.

[12]  Oleksandr Romanko,et al.  Normalization and Other Topics in Multi­Objective Optimization , 2006 .

[13]  Mateu Sbert,et al.  Viewpoint Selection using Viewpoint Entropy , 2001, VMV.

[14]  M J Tarr,et al.  What Object Attributes Determine Canonical Views? , 1999, Perception.

[15]  Hans-Peter Seidel,et al.  Computer Assisted Relief Generation—A Survey , 2012, Comput. Graph. Forum.