Posing 3D models from drawings
Authors: Gouvatsos, A., Xiao, Z., Marsden, N. and Zhang, J.J.
Journal: Computers in Entertainment
Volume: 15
Issue: 2
eISSN: 1544-3981
ISSN: 1544-3574
DOI: 10.1145/2729984
Abstract: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.
https://eprints.bournemouth.ac.uk/21668/
Source: Scopus
Posing 3D Models from Drawings
Authors: Gouvatsos, A., Xiao, Z., Marsden, N. and Zhang, J.J.
Journal: COMPUTERS IN ENTERTAINMENT
Volume: 15
Issue: 2
ISSN: 1544-3574
DOI: 10.1145/2729984
https://eprints.bournemouth.ac.uk/21668/
Source: Web of Science (Lite)
Posing 3D Models from Drawing
Authors: Gouvatsos, A., Xiao, Z., Marsden, N. and Zhang, J.
Journal: ACM Computers in Entertainment (CIE) - Theoretical and Practical Computer Application in Entertainment
Volume: 15
Issue: 2
https://eprints.bournemouth.ac.uk/21668/
Source: Manual
Preferred by: Zhidong Xiao and Jian Jun Zhang
Posing 3D Models from Drawing
Authors: Gouvatsos, A., Xiao, Z., Marsden, N. and Zhang, J.J.
Journal: ACM Computers in Entertainment
Volume: 15
Issue: 2
Pages: 2
ISSN: 1544-3574
Abstract: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.
https://eprints.bournemouth.ac.uk/21668/
Source: BURO EPrints