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CGI
1998
IEEE
13 years 11 months ago
Automatic 3D Model Acquisition from Uncalibrated Image Sequences
In this paper the problem of obtaining 3D models from image sequences is addressed. The proposed method deals with uncalibrated monocular image sequences. No prior knowledge about...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool
CVPR
2008
IEEE
14 years 9 months ago
Image partial blur detection and classification
In this paper, we propose a partially-blurred-image classification and analysis framework for automatically detecting images containing blurred regions and recognizing the blur ty...
Renting Liu, Zhaorong Li, Jiaya Jia
CLOR
2006
13 years 11 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICCV
2001
IEEE
14 years 9 months ago
Viewpoint Invariant Texture Matching and Wide Baseline Stereo
We describe and demonstrate a texture region descriptor which is invariant to affine geometric and photometric transformations, and insensitive to the shape of the texture region....
Frederik Schaffalitzky, Andrew Zisserman
CVPR
2009
IEEE
15 years 2 months ago
Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework
Given an image, we propose a hierarchical generative model that classifies the overall scene, recognizes and segments each object component, as well as annotates the image with ...
Fei-Fei Li 0002, Li-Jia Li, Richard Socher