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ICCV
2009
IEEE
16 years 4 months ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...
CVPR
2007
IEEE
16 years 1 months ago
Iterative MAP and ML Estimations for Image Segmentation
Image segmentation plays an important role in computer vision and image analysis. In this paper, the segmentation problem is formulated as a labeling problem under a probability m...
Shifeng Chen, Liangliang Cao, Jianzhuang Liu, Xiao...
SI3D
2010
ACM
15 years 3 months ago
Variance soft shadow mapping
We present variance soft shadow mapping (VSSM) for rendering plausible soft shadow in real-time. VSSM is based on the theoretical framework of percentage-closer soft shadows (PCSS...
Zhao Dong, Baoguang Yang
ICIP
2001
IEEE
16 years 1 months ago
VISMap: an interactive image/video retrieval system using visualization and concept maps
Images and videos can be indexed by multiple features at different levels, such as color, texture, motion, and text annotation. Organizing this information into a system so that u...
William Chen, Shih-Fu Chang
IV
2009
IEEE
187views Visualization» more  IV 2009»
15 years 6 months ago
Dynamic Mapping of Raster-Data for 3D Geovirtual Environments
Interactive 3D geovirtual environments (GeoVE), such as 3D virtual city and landscape models, are important tools to communicate geo-spatial information. Usually, this includes st...
Matthias Trapp, Jürgen Döllner