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» Combining Sampling and Autoregression for Motion Synthesis
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CGI
2004
IEEE
13 years 11 months ago
Combining Sampling and Autoregression for Motion Synthesis
We present a novel approach to motion synthesis. It is shown that by splitting sequences into segments new sequences can be created with a similar look and feel to the original. C...
David Oziem, Neill W. Campbell, Colin J. Dalton, D...
HUMO
2000
Springer
13 years 11 months ago
Realistic Synthesis of Novel Human Movements from a Database of Motion Capture Examples
In this paper we present a system that can synthesise novel motion sequences from a database of motion capture examples. This is achieved through learning a statistical model from...
L. M. Tanco, Adrian Hilton
DCC
2010
IEEE
14 years 2 months ago
Estimation-Theoretic Delayed Decoding of Predictively Encoded Video Sequences
Current video coding schemes employ motion compensation to exploit the fact that the signal forms an auto-regressive process along the motion trajectory, and remove temporal redun...
Jingning Han, Vinay Melkote, Kenneth Rose
ICIAR
2004
Springer
14 years 1 months ago
A Fast Probabilistic Bidirectional Texture Function Model
The bidirectional texture function (BTF) describes rough texture appearance variations due to varying illumination and viewing conditions. Such a function consists of thousands of ...
Michal Haindl, Jirí Filip
IVA
2009
Springer
14 years 2 months ago
Augmenting Gesture Animation with Motion Capture Data to Provide Full-Body Engagement
Abstract. Effective speakers engage their whole body when they gesture. It is difficult, however, to create such full body motion in animated agents while still supporting a large...
Pengcheng Luo, Michael Kipp, Michael Neff