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CVPR
2004
IEEE
15 years 2 months ago
Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
Yizhou Wang, Song Chun Zhu
ICCV
2007
IEEE
16 years 1 months ago
A systematic approach for 2D-image to 3D-range registration in urban environments
The photorealistic modeling of large-scale objects, such as urban scenes, requires the combination of range sensing technology and digital photography. In this paper, we attack th...
Lingyun Liu, Ioannis Stamos
ICCV
1999
IEEE
15 years 3 months ago
Learning Low-Level Vision
We describe a learning-based method for low-level vision problems--estimating scenes from images. We generate a synthetic world of scenes and their corresponding rendered images, m...
William T. Freeman, Egon C. Pasztor
WAPCV
2007
Springer
15 years 5 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee
SIGGRAPH
1997
ACM
15 years 3 months ago
Recovering high dynamic range radiance maps from photographs
We present a method of recovering high dynamic range radiance maps from photographs taken with conventional imaging equipment. In our method, multiple photographs of the scene are...
Paul E. Debevec, Jitendra Malik