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» Combining Sampling and Autoregression for Motion Synthesis
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CGI
2004
IEEE
13 years 8 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 8 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
13 years 11 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
13 years 10 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
13 years 11 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