Posing 3D models from drawings

This source preferred by Zhidong Xiao and Jian Jun Zhang

Authors: Gouvatsos, A., Xiao, Z., Marsden, N. and Zhang, J.

http://eprints.bournemouth.ac.uk/21668/

Journal: ACM Computers in Entertainment (CIE) - Theoretical and Practical Computer Application in Entertainment

Volume: 15

Issue: 2

This data was imported from Scopus:

Authors: Gouvatsos, A., Xiao, Z., Marsden, N. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/21668/

Journal: Computers in Entertainment

Volume: 15

Issue: 2

eISSN: 1544-3981

ISSN: 1544-3574

DOI: 10.1145/2729984

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-visualization. In this article, 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 optimization problem and a parallel variation of the Particle Swarm Optimization algorithm called PARAC-LOAPSO is utilized 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 able to be extended to various types of models. 2017 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

This data was imported from Web of Science (Lite):

Authors: Gouvatsos, A., Xiao, Z., Marsden, N. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/21668/

Journal: COMPUTERS IN ENTERTAINMENT

Volume: 15

Issue: 2

ISSN: 1544-3574

DOI: 10.1145/2729984

The data on this page was last updated at 05:26 on October 22, 2020.