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CVPR
2005
IEEE
14 years 7 months ago
Bayesian 3D Modeling from Images Using Multiple Depth Maps
This paper addresses the problem of reconstructing the geometry and color of a Lambertian scene, given some fully calibrated images acquired with wide baselines. In order to compl...
Pau Gargallo, Peter F. Sturm
MMM
2005
Springer
172views Multimedia» more  MMM 2005»
13 years 10 months ago
A Novel Approach of 3D Reconstruction of Human Face Using Monocular Camera
Three-dimensional model acquisition of an object is essential in many multimedia applications. Constructing three-dimensional models of objects from two-dimensional images is an o...
Ben Yip, Jesse S. Jin
ICIP
2004
IEEE
14 years 6 months ago
Robust ego-motion estimation and 3d model refinement using depth based parallax model
We present an iterative algorithm for robustly estimating the egomotion and refining and updating a coarse, noisy and partial depth map using a depth based parallax model and brig...
Amit K. Agrawal, Rama Chellappa
JVCA
2000
232views more  JVCA 2000»
13 years 4 months ago
Realistic surface reconstruction of 3D scenes from uncalibrated image sequences
This contribution addresses the problem of obtaining 3D models from image sequences. A 3D surface description of the scene is extracted completely from a set of uncalibrated camer...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool
PR
2007
216views more  PR 2007»
13 years 4 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