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» 3-D Depth Reconstruction from a Single Still Image
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CVPR
2010
IEEE
14 years 3 months ago
Single Image Depth Estimation From Predicted Semantic Labels
We consider the problem of estimating the depth of each pixel in a scene from a single monocular image. Unlike traditional approaches [18, 19], which attempt to map from appearanc...
Beyang Liu, Stephen Gould, Daphne Koller
ICIP
2003
IEEE
14 years 9 months ago
Precise real-time outlier removal from motion vector fields for 3D reconstruction
Finding the correct correspondences in an image sequence is a significant task for deriving 3D structure from motion. Most research has concentrated on extracting and matching sal...
Andreas Dante, Mike Brookes
CRV
2009
IEEE
163views Robotics» more  CRV 2009»
14 years 2 months ago
Simple 3D Reconstruction of Single Indoor Image with Perspective Cues
Image-based modeling is a longstanding research topic in computer vision. Reconstruction based on a single image is a particularly difficult example. This paper presents a simple...
Jingyuan Huang, Bill Cowan
3DIM
2011
IEEE
12 years 7 months ago
Toward Automatic 3D Generic Object Modeling from One Single Image
We present a novel method for solving the challenging problem of generating 3D models of generic object categories from just one single un-calibrated image. Our method leverages t...
Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silv...
PR
2007
216views more  PR 2007»
13 years 6 months ago
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
Hee-Deok Yang, Seong-Whan Lee