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» Learning to Estimate Scenes from Images
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CVPR
2005
IEEE
14 years 11 months ago
Learning to Estimate Human Pose with Data Driven Belief Propagation
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
Gang Hua, Ming-Hsuan Yang, Ying Wu
ICIP
2001
IEEE
14 years 10 months ago
Optical flow estimation using high frame rate sequences
Gradient-based optical flow estimation methods such as LucasKanade method work well for scenes with small displacements but fail when objects move with large displacements. Hierar...
SukHwan Lim, Abbas El Gamal
ICIP
2003
IEEE
14 years 10 months ago
Navigating in Manhattan: 3D orientation from video without correspondences
The problem of inferring 3D orientation of a camera from video sequences has been mostly addressed by first computing correspondences of image features. This intermediate step is ...
André F. T. Martins, Mário A. T. Fig...
ICIP
2007
IEEE
14 years 10 months ago
Region-Based Dense Depth Extraction from Multi-View Video
A novel multi-view region-based dense depth map estimation problem is presented, based on a modified planesweeping strategy. In this approach, the whole scene is assumed to be reg...
Cevahir Cigla, Xenophon Zabulis, A. Aydin Alatan
ICIP
2006
IEEE
14 years 10 months ago
In-Focus Imaging by Mosaicking and Super-Resolution
Although an all-in-focus image can be generated by mosaicking all the best focused regions of a sequence of acquired images taken under different focal settings, an even betterres...
Jieyong Lv, Pengwei Hao