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» Geodesic Methods in Computer Vision and Graphics
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CVPR
2007
IEEE
15 years 12 months ago
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Li-Jia Li, Gang Wang, Fei-Fei Li 0002
CVPR
2007
IEEE
15 years 12 months ago
Precise Registration of 3D Models To Images by Swarming Particles
The precise alignment of a 3D model to 2D sensor images to recover the pose of an object in a scene is an important topic in computer vision. In this work, we outline a registrati...
Joerg Liebelt, Klaus Schertler
CVPR
2008
IEEE
15 years 12 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
PCM
2009
Springer
145views Multimedia» more  PCM 2009»
15 years 4 months ago
Non-linear Bi-directional Prediction for Depth Coding
A depth image represents a relative distance from a camera to an object in the three-dimensional (3-D) space and it is widely used as 3-D information in computer vision and compute...
Kwan-Jung Oh, Yo-Sung Ho
NPAR
2000
ACM
15 years 1 months ago
An algorithm for automatic painterly rendering based on local source image approximation
This paper presents a new method for the automatic painterly rendering. This method synthesizes an impressive image with a handcrafted look from a source image such as a photograp...
Michio Shiraishi, Yasushi Yamaguchi