Automatic 3D posing from 2D hand-drawn sketches
Authors: Gouvatsos, A., Xiao, Z., Marsden, N. and Zhang, J.J.
Journal: Proceedings - Pacific Conference on Computer Graphics and Applications
Volume: 2014-October
Pages: 125-130
ISBN: 9783905674736
ISSN: 1550-4085
DOI: 10.2312/pgs.20141264
Abstract:Inferring the 3D pose of a character from a drawing is a non-trivial 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 3D pose inference 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 and a horse character. The results show that this method is robust and is able to be extended to various types of models.
Source: Scopus
Automatic 3D posing from 2D hand-drawn sketches
Authors: Gouvatsos, A., Xiao, Z., Marsden, N. and Zhang, J.
Conference: The 22nd Pacific Conference on Computer Graphics and Application (Pacific Graphics 2014)
Dates: 8-10 October 2014
Source: Manual
Preferred by: Zhidong Xiao