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» Depth Estimation from Image Structure
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CVPR
2012
IEEE
11 years 10 months ago
Consistent depth maps recovery from a trinocular video sequence
In this paper, we propose a novel dense depth recovery method for a trinocular video sequence. Specifically, we contribute a novel trinocular stereo matching model, which can eff...
Wenzhuo Yang, Guofeng Zhang, Hujun Bao, Jiwon Kim,...
ECCV
2010
Springer
14 years 3 days ago
Analyzing Depth from Coded Aperture Sets
Computational depth estimation is a central task in computer vision and graphics. A large variety of strategies have been introduced in the past relying on viewpoint variations, de...
CRV
2007
IEEE
161views Robotics» more  CRV 2007»
14 years 1 months ago
Dense Stereo Range Sensing with Marching Pseudo-Random Patterns
As an extension to classical structured lighting techniques, the use of bi-dimensional pseudo-random color codes is explored to perform range sensing with variable density from a ...
Danick Desjardins, Pierre Payeur
CVPR
2012
IEEE
11 years 10 months ago
Depth from optical turbulence
Turbulence near hot surfaces such as desert terrains and roads during the summer, causes shimmering, distortion and blurring in images. While recent works have focused on image re...
Yuandong Tian, Srinivasa G. Narasimhan, Alan J. Va...
DAGM
2009
Springer
13 years 8 months ago
Depth Imaging by Combining Time-of-Flight and On-Demand Stereo
In this paper we present a framework for computing depth images at interactive rates. Our approach is based on combining time-of-flight (TOF) range data with stereo vision. We use ...
Uwe Hahne, Marc Alexa