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Author Marsden, Neil ♦ Zhang, Jian J. ♦ Xiao, Zhidong ♦ Gouvatsos, Alexandros
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Keyword 3d animation ♦ Global search ♦ Optimization ♦ Automatic 3d posing
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.
Description Affiliation: Hibbert Ralph Animation, UK (Marsden, Neil) || Centre for Digital Entertainment, National Centre for Computer Animation, Bournemouth University and Hibbert Ralph Animation, UK (Gouvatsos, Alexandros) || Centre for Digital Entertainment, National Centre for Computer Animation, Bournemouth University, UK (Xiao, Zhidong; Zhang, Jian J.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2008-03-01
Publisher Place New York
Journal Computers in Entertainment (CIE) (CIE)
Volume Number 15
Issue Number 2
Page Count 14
Starting Page 1
Ending Page 14

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Source: ACM Digital Library