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» Learning 3-D object orientation from images
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DAGM
2006
Springer
14 years 4 days ago
Robust Variational Segmentation of 3D Objects from Multiple Views
We propose a probabilistic formulation of 3D segmentation given a series of images from calibrated cameras. Instead of segmenting each image separately in order to build a 3D surfa...
Kalin Kolev, Thomas Brox, Daniel Cremers
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...
ICCV
2007
IEEE
14 years 10 months ago
3D object recognition from range images using pyramid matching
Recognition of 3D objects from different viewpoints is a difficult problem. In this paper, we propose a new method to recognize 3D range images by matching local surface descripto...
Xinju Li, Igor Guskov
3DIM
2011
IEEE
12 years 8 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...
MVA
1994
100views Computer Vision» more  MVA 1994»
13 years 9 months ago
A Pixel Voting Method to Recover 3D Object Shape from 2D Images
The purpose of this study is to extract 3D information from 2D images passively. Though the voting technique is one of the passive methods to obtain the 3D information effectively...
Kenpo Tsuchiya, Shuji Hashimoto, Toshiaki Matsushi...