LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Gouvatsos, Alexandros; Xiao, Zhidong; Marsden, N.; Zhang, Jian J. (2015)
Languages: English
Types: Article
Subjects:
Inferring the 3D pose of a character from a drawing is a complex and under-constrained problem. Solving it may help automate various parts of an animation production pipeline such as pre-visualisation. In this paper, a novel way of inferring the 3D pose from a monocular 2D sketch is proposed. The proposed method does not make any external assumptions about the model, allowing it to be used on different types of characters. The inference of the 3D pose is formulated as an optimisation problem and a parallel variation of the Particle Swarm Optimisation algorithm called PARAC-LOAPSO is utilised for searching the minimum. Testing in isolation as well as part of a larger scene, the presented method is evaluated by posing a lamp, a horse and a human character. The results show that this method is robust, highly scalable and is able to be extended to various types of models.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Sasakthi S. Abeysinghe, Matthew Baker, Wah Chiu, and Tao Ju. 2008. Segmentation-free skeletonization of grayscale volumes for shape understanding. In Shape Modeling and Applications, 2008. SMI 2008. IEEE International Conference on. 63-71. DOI:http://dx.doi.org/10.1109/SMI.2008.4547951
    • Ankur Agarwal and Bill Triggs. 2004. Learning to track 3D human motion from silhouettes. In In International Conference on Machine Learning. 9-16.
    • Ankur Agarwal and Bill Triggs. 2006. Recovering 3D human pose from monocular images. Pattern Analysis and Machine Intelligence, IEEE Transactions on 28, 1 (Jan 2006), 44-58. DOI:http://dx.doi.org/10.1109/TPAMI.2006.21
    • Dan Bratton and James Kennedy. 2007. Defining a Standard for Particle Swarm Optimization. In Swarm Intelligence Symposium, 2007. SIS 2007. IEEE. 120-127. DOI:http://dx.doi.org/10.1109/SIS.2007.368035
    • Nestor Burtnyk and Marceli Wein. 1976. Interactive Skeleton Techniques for Enhancing Motion Dynamics in Key Frame Animation. Commun. ACM 19, 10 (Oct. 1976), 564-569. DOI:http://dx.doi.org/10.1145/360349.360357
    • John Canny. 1986. A Computational Approach to Edge Detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on PAMI-8, 6 (Nov 1986), 679-698. DOI:http://dx.doi.org/10.1109/TPAMI.1986.4767851
    • James Davis, Maneesh Agrawala, Erika Chuang, Zoran Popovic´, and David Salesin. 2003. A Sketching Interface for Articulated Figure Animation. In Proceedings of the 2003 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA '03). Eurographics Association, Aire-la-Ville, Switzerland, Switzerland, 320-328. http://dl.acm.org/citation.cfm?id=846276.846322
    • Mathias Eitz, James Hays, and Marc Alexa. 2012. How Do Humans Sketch Objects? ACM Trans. Graph. (Proc. SIGGRAPH) 31, 4 (2012), 44:1-44:10.
    • Laurent Favreau, Lionel Reveret, Christine Depraz, and Marie-Paule Cani. 2006. Animal Gaits from Video: Comparative Studies. Graph. Models 68, 2 (March 2006), 212-234. DOI:http://dx.doi.org/10.1016/j.gmod.2005.04.002 F
    • Patrick Fleischmann, Ivar Austvoll, and Bogdan Kwolek. 2012. Particle Swarm Optimization with Soft Search Space Partitioning for Video-Based Markerless Pose Tracking. In Advanced Concepts for IntelliZemcik (Eds.). Leocture Notes in Computer Science, Vol. 7517. Springer Berlin Heidelberg, 479-490. gent Vision Systems, Jacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders, and Pavel DOI:http://dx.doi.org/10.1007/978-3-642-33140-4 42
    • Dariu Gavrila. 1999. The rVisual Analysis of Human Movement: A Survey. Computer Vision and Image Understanding 73 (1999), 82-98. Issue 1. DOI:http://dx.doi.org/10.1006/cviu.1998.0716 face for Expressive CharacPterPosing. ACM Trans. Graph. 32, 6, Article 205 (Nov. 2013), 8 pages.
    • Martin Guay, Marie-Paule Cani, and Re´mi Ronfard. 2013. The Line of Action: An Intuitive InterDOI:http://dx.doi.org/10.1145/2508363.2508397
    • Gang Hua, Ming-Hsuan Yang, and YinegWu. 2005. Learning to estimate human pose with data driven belief propagation. In CVPR. 747-754. with Particle Swarm Optimisatione.Evolutionary Computation 16 (2008), 509-528. Issue 4.
    • Spela Ivekovic, Emanuele Trucco, and Yvan R. Petillot. 2008. Human Body Pose Estimation
    • Alec Jacobson, Daniele Panozzo, Oliver Glaurser, Ce´dric Pradalier, Otmar Hilleges, and Olga SorkineDOI:http://dx.doi.org/10.1162/evco.2008.16.4.509 Horning. 2014. Tangible and Modular Input Device for Character Articulation. ACM Transactions on Graphics (proceedings of ACM SIGGRAPH) 33, R(2014). 4
    • Eakta Jain, Yaser Sheikh, and Jessica K. Hodgins. 2009. Leveraging the talent of hand animators to create three-dimensional animation. In Symposium on Computer Animation. 93-102. DOI:http://dx.doi.org/10.1145/1599470.1599483 e
    • Eakta Jain, Yaser Sheikh, Moshe Mahler, and Jessica Hodgins. 2012. Three-dimensional proxies for handv drawn characters. ACM Trans. Graph. 31, 1, Article 8 (Feb. 2012), 16 pages.
    • Yin Li, Michael Gleicher, Ying-Qing Xu, and Heung-Yeung Shum. 2003. Stylizing Motion with Drawings. In i Proceedings of the 2003 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA '03). cfm?id=846276.846320 e Eurographics Association, Aire-la-Ville, Switzerland, Switzerland, 309-319. http://dl.acm.org/citation. to immediate 3d character animation. In Proceedings of ACM SIGCwHIInternational Conference On
    • Chen Mao, Sheng Feng Qin, and David Wright. 2006. Sketching-out virtual humans: From 2d storyboarding Advances In Computer Entertainment Technology. ACM.
    • Chen Mao, Sheng Feng Qin, and David Wright. 2007. Sketch-Based Virtual Human Modelling and Animation. In Proceedings of the 8th International Symposium on Smart Graphics (SG '07). Springer-Verlag, Berlin, Heidelberg, 220-223. DOI:http://dx.doi.org/10.1007/978-3-540-73214-3 24
    • Microsoft. 2014. Kinect. (January 2014). http://www.xbox.com/en-us/kinect
    • Luca Mussi, Spela Ivekovic, and Stefano Cagnoni. 2010. Markerless Articulated Human Body Tracking from Multi-view Video with GPU-PSO. In Proceedings of the 9th International Conference on Evolvable Systems: From Biology to Hardware (ICES'10). Springer-Verlag, Berlin, Heidelberg, 97-108. http://dl. acm.org/citation.cfm?id=1885332.1885344
    • Cengiz A. O¨ztireli, Ilya Baran, Tiberiu Popa, Boris Dalstein, Robert W. Sumner, and Markus Gross. 2013. Differential Blending for Expressive Sketch-Based Posing. In Proceedings of the 2013 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA '13). ACM, New York, NY, USA.
    • Amin S. M. Salehizadeh, Peyman Yadmellat, and Mohammad-Bagher Menhaj. 2009. Local Optima Avoidable Particle Swarm Optimization. In Swarm Intelligence Symposium, 2009. SIS '09. IEEE. 16-21. DOI:http://dx.doi.org/10.1109/SIS.2009.4937839
    • Phil Tresadern and Ian Reid. 2007. An Evaluation of Shape Descriptors for Image Retrieval in Human Pose Estimation. In Proc. 18th British Machine Vision Conf., Warwick, Vol. 2. 800-809.
    • Kun Xu, Kang Chen, Hongbo Fu, Wei-Lun Sun, and Shi-Min Hu. 2013. Sketch2Scene: Sketch-based Coretrieval and Co-placement of 3D Models. ACM Transactions on Graphics 32, 4 (2013), 123:1-123:12.
    • Rong Yang and Burkhard C. Wunsche. 2010. LifeSketch - A Framework for Sketch-Based Modelling and Animation of 3D Objects. In in Proceedings of the Australasian User Interface Conference (AUIC). 2010.
    • Jianmin Zhao and Norman Badler. 1994. Inverse kinematics positioning using nonlinear programming for highly articulated figures. ACM Transactions on Graphics 13 (1994), 313-336.
    • Received January 2015; revised N/A; accepted N/A
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article