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» Learning Multiscale Image Models of 2D Object Classes
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PAMI
2008
170views more  PAMI 2008»
13 years 4 months ago
Unsupervised Category Modeling, Recognition, and Segmentation in Images
Suppose a set of arbitrary (unlabeled) images contains frequent occurrences of 2D objects from an unknown category. This paper is aimed at simultaneously solving the following rel...
Sinisa Todorovic, Narendra Ahuja
CVPR
2003
IEEE
14 years 7 months ago
Man-Made Structure Detection in Natural Images using a Causal Multiscale Random Field
This paper presents a generative model based approach to man-made structure detection in 2D natural images. The proposed approach uses a causal multiscale random field suggested i...
Sanjiv Kumar, Martial Hebert
SMI
2008
IEEE
181views Image Analysis» more  SMI 2008»
13 years 11 months ago
SHREC - 08 entry: Local 2D visual features for CAD Model retrieval
A local shape feature has an advantage in dealing with deformable or articulated 3D models. We evaluate the performance of our local, 2D visual features and their integration meth...
Kunio Osada, Takahiko Furuya, Ryutarou Ohbuchi
TIP
2008
287views more  TIP 2008»
13 years 4 months ago
3-D Object Recognition Using 2-D Views
We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
Wenjing Li, George Bebis, Nikolaos G. Bourbakis
CORR
2010
Springer
237views Education» more  CORR 2010»
13 years 2 months ago
Featureless 2D-3D Pose Estimation by Minimising an Illumination-Invariant Loss
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision ranging from robotic vision to image analysis. Our pro...
Srimal Jayawardena, Marcus Hutter, Nathan Brewer