Analyzing the physical correctness of interpolated human motion

Two human motions can be linearly interpolated to produce a new motion, giving the animator control over the length of a jump, the speed of walking, or the height of a kick. Over the past ten years, this simple technique has been shown to produce surprisingly natural looking results. In this paper we analyze the motions produced by this technique for physical correctness and suggest small modifications to the standard interpolation technique that in some circumstances will produce significantly more natural looking motion.

[1]  Peter-Pike J. Sloan,et al.  Artist‐Directed Inverse‐Kinematics Using Radial Basis Function Interpolation , 2001, Comput. Graph. Forum.

[2]  Michael F. Cohen,et al.  Verbs and Adverbs: Multidimensional Motion Interpolation , 1998, IEEE Computer Graphics and Applications.

[3]  Badler,et al.  Techniques for Generating the Goal-Directed Motion of Articulated Structures , 1982, IEEE Computer Graphics and Applications.

[4]  Sung Yong Shin,et al.  A hierarchical approach to interactive motion editing for human-like figures , 1999, SIGGRAPH.

[5]  Lucas Kovar,et al.  Flexible automatic motion blending with registration curves , 2003, SCA '03.

[6]  Ken Perlin,et al.  Real Time Responsive Animation with Personality , 1995, IEEE Trans. Vis. Comput. Graph..

[7]  Michael Cohen,et al.  Proceedings of the 2002 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, San Antonio, TX, USA, July 21-22, 2002 , 2002, Symposium on Computer Animation.

[8]  Shang Guo,et al.  A high-level control mechanism for human locomotion based on parametric frame space interpolation , 1996 .

[9]  Bobby Bodenheimer,et al.  Computing the duration of motion transitions: an empirical approach , 2004, SCA '04.

[10]  C. Karen Liu,et al.  Momentum-based parameterization of dynamic character motion , 2004, SCA '04.

[11]  Sung Yong Shin,et al.  On-line locomotion generation based on motion blending , 2002, SCA '02.

[12]  Lucas Kovar,et al.  Automated extraction and parameterization of motions in large data sets , 2004, ACM Trans. Graph..

[13]  Nancy S. Pollard,et al.  Perceptual metrics for character animation: sensitivity to errors in ballistic motion , 2003, ACM Trans. Graph..

[14]  Michael Gleicher,et al.  Automated extraction and parameterization of motions in large data sets , 2004, SIGGRAPH 2004.