Article

Enriching a motion collection by transplanting limbs

Authors:

Leslie Ikemoto,

David A. ForsythAuthors Info & Claims

SCA '04: Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation

Pages 99 - 108

https://doi.org/10.1145/1028523.1028537

Published: 27 August 2004 Publication History

Abstract

This paper describes a method that can significantly increase the size of a collection of motion observations by cutting limbs from one motion sequence and attaching them to another. Not all such transplants are successful, because correlations across the body are a significant feature of human motion. The method uses randomized search based around a set of rules to generate transplants that are (a) likely to be successful and (b) likely to enrich the existing motion collection. The resulting frames are annotated by a classifier to tell whether they look like human motion or not.

We evaluate the method by obtaining motion demands from an application, synthesizing motions to meet those demands, and then scoring the synthesized motions. Motions synthesized using transplants are generally somewhat better than those synthesized without using transplants, because transplanting generates many frames quite close to the original frames, so that it is easier for the motion synthesis process to find a good path in the motion graph. Furthermore, we show classifier errors tend to have relatively little impact in practice.

Finally, we show that transplanted motion data can be used to synthesize motions of a group coordinated in space and time without producing motions that share frames.

Supplementary Material

JPG File (p99-ikemoto.jpg)

Download
5.82 KB

AVI File (p99-ikemoto.avi)

Supplemental video

Download
10.41 MB

References

[1]

{AF02} Arikan O., Forsyth D. A.: Interactive motion generation from examples. In Proceedings of the 29th annual conference on Computer graphics and interactive techniques (2002), ACM Press, pp. 483--490.]]

Digital Library

[2]

{AFO03} Arikan O., Forsyth D., O'Brien J.: Motion synthesis from annotations. SIGGRAPH (2003).]]

[3]

{BRRP97} Bodenheimer B., Rose C., Rosenthal S., Pella J.: The process of motion capture: Dealing with the data. In Computer Animation and Simulation '97. Proceedings of the Eurographics Workshop (1997).]]

[4]

{CL00} Chang C. C., Lin C. J.: Libsvm: Introduction and Benchmarks. Tech. rep., Department of Computer Science and Information Engineering, National Taiwan University, 2000.]]

[5]

{FF99} Forsyth D., Fleck M.: Automatic detection of human nudes. Int. J. Computer Vision 32 (1999), 63--77.]]

Digital Library

[6]

{FMJ02} Fod A., Mataricń M. J., Jenkins O. C.: Automated derivation of primitives for movement classification. Autonomous Robots 12, 1 (2002), 39--54.]]

Digital Library

[7]

{FP03} Fang A. C., Pollard N. S.: Efficient synthesis of physically valid human motion. ACM Transactions on Graphics 22, 3 (July 2003), 417--426.]]

Digital Library

[8]

{FvdPT01a} Faloutsos P., Van De Panne M., Terzopoulos D.: Composable controllers for physics-based character animation. In Proceedings of ACM SIGGRAPH 2001 (Aug. 2001), Computer Graphics Proceedings. Annual Conference Series, pp. 251--260.]]

Digital Library

[9]

{FvdPT01b} Faloutsos P., Van De Panne M., Terzopoulos D.: The virtual stuntman: dynamic characters with a repertoire of autonomous motor skills. Computers & Graphics 25, 6 (Dec. 2001), 933--953.]]

[10]

{GL98} Gleicher M., Litwinowicz P.: Constraint-based motion adaptation. The Journal of Visualization and Computer Animation 9 (1998), 65--94.]]

[11]

{Gle97} Gleicher M.: Motion editing with spacetime constraints. In Proceedings of the 1997 Symposium on Interactive 3D Graphics (1997).]]

Digital Library

[12]

{Gle99} Gleicher M.: Animation from observation: Motion capture and motion editing. Computer Graphics (1999).]]

Digital Library

[13]

{Gle01} Gleicher M.: Comparing constraint-based motion editing methods. Graphical Models (2001).]]

Digital Library

[14]

{GSKJ03} Gleicher M., Shin H. J., Kovar L., Jepsen A.: Snap together motion: Assembling run-time animation. In 2003 Symposium on Interactive 3D Graphics (2003).]]

Digital Library

[15]

{GTH98} Grzeszczuk R., Terzopoulos D., Hinton G.: Neuroanimator: Fast neural network emulation and control of physics-based models. In Proceedings of SIGGRAPH 98 (July 1998), Computer Graphics Proceedings, Annual Conference Series, pp. 9--20.]]

Digital Library

[16]

{HOT97} Hodgins J. K., O'Brien J. F., Tumblin J.: Do geometric models affect judgments of human motion? In Graphics Interface '97 (May 1997), pp. 17--25.]]

Digital Library

[17]

{HOT98} Hodgins J. K., O'Brien J. F., Tumblin J.: Perception of human motion with different geometric models. IEEE Transactions on Visualization and Computer Graphics 4, 4 (Oct. 1998), 307--316.]]

Digital Library

[18]

{HWB095} Hodgins J. K., Wooten W. L., Brogan D. C., O'Brien J. F.: Animating human athletics. In Proceedings of SIGGRAPH 95 (Aug. 1995), Computer Graphics Proceedings, Annual Conference Series, pp. 71--78.]]

Digital Library

[19]

{JM02} Jenkins O. C., Mataric M. J.: Deriving action and behavior primitives from human motion data. In Proceedings, IEEE/RSJ International Conference on Robotics and Intelligent Systems (IROS) (2002), pp. 2551--2556.]]

[20]

{JM03} Jenkins O. C., Mataric M. J.: Automated derivation of behavior vocabularies for autonomous humanoid motion. In Proceedings, Second International Joint Conference on Autonomous Agents and Multiagent Systems (2003).]]

Digital Library

[21]

{KG03} Kovar L., Gleicher M.: Flexible automatic motion blending with registration curves. In Proceedings of 2003 Symposium on Computer Animation (2003).]]

Digital Library

[22]

{KGP02} Kovar L., Gleicher M., Pighin F.: Motion graphs. In Proceedings of the 29th annual conference on Computer graphics and interactive techniques (2002), ACM Press, pp. 473--482.]]

Digital Library

[23]

{KSG02} Kovar L., Schreiner J., Gleicher M.: Footskate cleanup for motion capture editing. In Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation (2002), ACM Press, pp. 97--104.]]

Digital Library

[24]

{LCR*02} Lee J., Chai J., Reitsma P., Hodgins J., Pollard N.: Interactive control of avatars animated with human motion data. Proc. SIGGRAPH 2002 (2002).]]

Digital Library

[25]

{LS99} Lee J., Shin S. Y.: A hierarchical approach to interactive motion editing for human-like figures. In Proceedings of the 26th annual conference on Computer graphics and interactive techniques (1999), ACM Press/Addison-Wesley Publishing Co., pp. 39--48.]]

Digital Library

[26]

{Men99} Menache A.: Understanding Motion Capture for Computer Animation and Video Games. Morgan-Kaufmann, 1999.]]

Digital Library

[27]

{Moe99} Moeslund T.: Summaries of 107 Computer Vision-based Human Motion Capture Papers. Tech. Rep. LLA 99-01, University of Aalborg, 1999.]]

[28]

{MTH} Molina-Tanco L., Hilton A.: Realistic synthesis of novel human movements from a database of motion capture examples.]]

[29]

{PB02} Pullen K., Bregler C.: Motion capture assisted animation: Texturing and synthesis. SIGGRAPH 02 (2002).]]

Digital Library

[30]

{PBM00a} Pollard N. S., Behmaram-Mosavat F.: Force-based motion editing for locomotion tasks. In In Proceedings of the IEEE International Conference on Robotics and Automation (2000).]]

[31]

{PBM00b} Pollard N. S., Behmaram-Mosavat F.: Force-based motion editing for locomotion tasks. In Proceedings of the IEEE International Conference on Robotics and Automation (2000).]]

[32]

{PW99} Popović Z., Witkin A. P.: Physically based motion transformation. In Proceedings of SIGGRAPH 99 (Aug. 1999), Computer Graphics Proceedings, Annual Conference Series, pp. 11--20.]]

Digital Library

[33]

{SPB*98} Silaghi M.-C., Plänkers R., Boulic R., Fua P., Thalmann D.: Local and global skeleton fitting techniques for optical motion capture. In Modelling and Motion Capture Techniques for Virtual Environments (Nov. 1998), pp. 26--40. Proceedings of CAPTECH '98.]]

Digital Library

[34]

{TSK02} Tak S., Song O.-Y., Ko H.-S.: Spacetime sweeping: An interactive dynamic constraints solver. In Computer Animation 2002 (2002), p. 261.]]

Digital Library

[35]

{ZH99} Zordan V. B., Hodgins J. K.: Tracking and modifying upper-body human motion data with dynamic simulation. In Computer Animation and Simulation '99 (Sept. 1999).]]

[36]

{ZH02} Zordan V. B., Hodgins J. K.: Motion capture-driven simulations that hit and react. In ACM SIGGRAPH Symposium on Computer Animation (July 2002), pp. 89--96.]]

Digital Library

Cited By

Lee SLee JLee J(2022)Learning Virtual Chimeras by Dynamic Motion ReassemblyACM Transactions on Graphics10.1145/3550454.355548941:6(1-13)Online publication date: 30-Nov-2022
https://dl.acm.org/doi/10.1145/3550454.3555489
Lyu LZhang J(2019)Stylized human motion warping method based on identity-independent coordinatesSoft Computing10.1007/s00500-019-04489-zOnline publication date: 4-Nov-2019
https://doi.org/10.1007/s00500-019-04489-z
Xia SGao LLai YYuan MChai J(2017)A Survey on Human Performance Capture and AnimationJournal of Computer Science and Technology10.1007/s11390-017-1742-y32:3(536-554)Online publication date: 12-May-2017
https://doi.org/10.1007/s11390-017-1742-y
Show More Cited By

Index Terms

Enriching a motion collection by transplanting limbs
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation

Recommendations

Enriching a motion database by analogous combination of partial human motions

We have synthesized new human body motions from existing motion data, by dividing the body of an animated character into several parts, such as upper and lower body, and partitioning the motion of the character into corresponding partial motions. By ...
True motion-compensated de-interlacing algorithm

This paper presents a true motion-compensated de-interlacing (TMCD) algorithm based on a fast true motion estimation scheme. The fast true motion estimation scheme, designated as a variable block size true motion estimation for a translated motion model ...
A collection method of motion video motion track based on fuzzy clustering algorithm

In order to overcome the problems of low spatial accuracy, poor noise reduction ability and high spatial distortion rate of traditional methods, a motion video motion trajectory collection method based on fuzzy clustering algorithm is proposed. The fuzzy ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

SCA '04: Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation

August 2004

388 pages

ISBN:3905673142

Conference Chairs:
Norman Badler
University of Pennsylvania
,
Mathieu Desbrun
University of Southern California
,
Ronan Boulic,
Dinesh Pai

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
EUROGRAPHICS: The European Association for Computer Graphics

Publisher

Eurographics Association

Goslar, Germany

Publication History

Published: 27 August 2004

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Conference

SCA04

Sponsor:

SIGGRAPH
EUROGRAPHICS

SCA04: Symposium on Computer Animation 2004

August 27 - 29, 2004

Grenoble, France

Acceptance Rates

Overall Acceptance Rate 183 of 487 submissions, 38%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

39
Total Citations
View Citations
537
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Lee SLee JLee J(2022)Learning Virtual Chimeras by Dynamic Motion ReassemblyACM Transactions on Graphics10.1145/3550454.355548941:6(1-13)Online publication date: 30-Nov-2022
https://dl.acm.org/doi/10.1145/3550454.3555489
Lyu LZhang J(2019)Stylized human motion warping method based on identity-independent coordinatesSoft Computing10.1007/s00500-019-04489-zOnline publication date: 4-Nov-2019
https://doi.org/10.1007/s00500-019-04489-z
Xia SGao LLai YYuan MChai J(2017)A Survey on Human Performance Capture and AnimationJournal of Computer Science and Technology10.1007/s11390-017-1742-y32:3(536-554)Online publication date: 12-May-2017
https://doi.org/10.1007/s11390-017-1742-y
Kim YKim MNeff M(2015)Temporal Transfer of Locomotion StyleETRI Journal10.4218/etrij.15.0114.002137:2(406-416)Online publication date: 1-Apr-2015
https://doi.org/10.4218/etrij.15.0114.0021
Chan JTang JLeung H(2013)Synthesizing Two‐character Interactions by Merging Captured Interaction Samples with their Spacetime RelationshipsComputer Graphics Forum10.1111/cgf.1221032:7(41-50)Online publication date: 25-Nov-2013
https://doi.org/10.1111/cgf.12210
Mousas CNewbury PAnagnostopoulos C(2013)Splicing of Concurrent Upper-body Motion Spaces with LocomotionProcedia Computer Science10.1016/j.procs.2013.11.04225(348-359)Online publication date: 2013
https://doi.org/10.1016/j.procs.2013.11.042
Kim YNeff MBoulic RKomura T(2012)Component-based locomotion compositionProceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation10.5555/2422356.2422381(165-173)Online publication date: 29-Jul-2012
https://dl.acm.org/doi/10.5555/2422356.2422381
Kim YNeff M(2012)Component-based locomotion compositionProceedings of the 11th ACM SIGGRAPH / Eurographics conference on Computer Animation10.5555/2421731.2421756(165-173)Online publication date: 29-Jul-2012
https://dl.acm.org/doi/10.5555/2421731.2421756
Basten BEgges A(2012)Motion Transplantation TechniquesIEEE Computer Graphics and Applications10.1109/MCG.2011.10932:3(16-23)Online publication date: 1-May-2012
https://dl.acm.org/doi/10.1109/MCG.2011.109
Wang JHan CMa WHu Y(2012)A hierarchical geostatistical model of walking style varietyIEEE 10th International Conference on Industrial Informatics10.1109/INDIN.2012.6300882(452-458)Online publication date: Jul-2012
https://doi.org/10.1109/INDIN.2012.6300882
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten