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ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
14 years 3 months ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
AMC
2007
125views more  AMC 2007»
13 years 9 months ago
Geometric multigrid for high-order regularizations of early vision problems
The surface estimation problem is used as a model to demonstrate a framework for solving early vision problems by high-order regularization with natural boundary conditions. Becaus...
Stephen L. Keeling, Gundolf Haase
ICPR
2008
IEEE
14 years 10 months ago
K-means clustering of proportional data using L1 distance
We present a new L1-distance-based k-means clustering algorithm to address the challenge of clustering high-dimensional proportional vectors. The new algorithm explicitly incorpor...
Bonnie K. Ray, Hisashi Kashima, Jianying Hu, Monin...
TVCG
2008
192views more  TVCG 2008»
13 years 9 months ago
Heads Up and Camera Down: A Vision-Based Tracking Modality for Mobile Mixed Reality
Anywhere Augmentation pursues the goal of lowering the initial investment of time and money necessary to participate in mixed reality work, bridging the gap between researchers in ...
Stephen DiVerdi, Tobias Höllerer
CVPR
2005
IEEE
14 years 11 months ago
A Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion
Scale-spaces induced by diffusion processes play an important role in many computer vision tasks. Automatically selecting the most appropriate scale for a particular problem is a ...
George Papandreou, Petros Maragos