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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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IJCV
2000
180views more  IJCV 2000»
13 years 8 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe
ICPR
2006
IEEE
14 years 10 months ago
Target Model Estimation using Particle Filters for Visual Servoing
In this paper, we present a novel method for model estimation for visual servoing. This method employs a particle filter algorithm to estimate the depth of the image features onli...
A. H. Abdul Hafez, C. V. Jawahar
ACCV
2007
Springer
14 years 3 months ago
Evolving Measurement Regions for Depth from Defocus
Depth from defocus (DFD) is a 3D recovery method based on estimating the amount of defocus induced by finite lens apertures. Given two images with different camera settings, the ...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
CVPR
2012
IEEE
11 years 11 months ago
Example-based 3D object reconstruction from line drawings
Recovering 3D geometry from a single 2D line drawing is an important and challenging problem in computer vision. It has wide applications in interactive 3D modeling from images, c...
Tianfan Xue, Jianzhuang Liu, Xiaoou Tang
ICMCS
2005
IEEE
119views Multimedia» more  ICMCS 2005»
14 years 2 months ago
A Model Based Energy Minimization Method for 3D Face Reconstruction
In the paper we present a model based method for generating 3D face models from multiple images by means of an energy minimization algorithm. The energy function takes into accoun...
Davide Onofrio, Stefano Tubaro