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» Learning Parameterized Models of Image Motion
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RT
2000
Springer
15 years 3 months ago
Parameterized Animation Compression
Synthetic images can be parameterized by more than time or viewpoint. We generalize image-based rendering by exploiting texture-mapping graphics hardware to decompress ray-traced ...
Ziyad S. Hakura, Jerome Edward Lengyel, John M. Sn...
ISER
2004
Springer
143views Robotics» more  ISER 2004»
15 years 5 months ago
Imitation Learning Based on Visuo-Somatic Mapping
Abstract. Imitation learning is a powerful approach to humanoid behavior generation, however, the most existing methods assume the availability of the information on the internal s...
Minoru Asada, Masaki Ogino, Shigeo Matsuyama, Jun'...
CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
15 years 5 months ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade
ICCV
2003
IEEE
15 years 4 months ago
Modeling Textured Motion : Particle, Wave and Sketch
In this paper, we present a generative model for textured motion phenomena, such as falling snow, wavy river and dancing grass, etc. Firstly, we represent an image as a linear sup...
Yizhou Wang, Song Chun Zhu
PAMI
2006
233views more  PAMI 2006»
14 years 11 months ago
Model-Based Hand Tracking Using a Hierarchical Bayesian Filter
This paper sets out a tracking framework, which is applied to the recovery of threedimensional hand motion from an image sequence. The method handles the issues of initialization,...
Björn Stenger, Arasanathan Thayananthan, Phil...