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» Graph-Theoretical Methods in Computer Vision
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ICCV
2009
IEEE
1331views Computer Vision» more  ICCV 2009»
17 years 17 days ago
I know what you did last summer: object-level auto-annotation of holiday snaps
The state-of-the art in visual object retrieval from large databases allows to search millions of images on the object level. Recently, complementary works have proposed systems ...
Stephan Gammeter, Lukas Bossard, Till Quack, Luc V...
ICCV
2009
IEEE
17 years 17 days ago
Least-Squares Congealing for Large Numbers of Images
In this paper we pursue the task of aligning an ensemble of images in an unsupervised manner. This task has been commonly referred to as “congealing” in literature. A form o...
Mark Cox, Sridha Sridharan, Simon Lucey, Jeffrey C...
ICCV
2009
IEEE
17 years 17 days ago
Scene Categorization from Low Definition Video
In this paper we present a new method for categorizing video sequences capturing different scene classes. This can be seen as a generalization of previous work on scene classific...
Paritosh Gupta, Sai Sankalp Arrabolu, Mathew Brown...
ICCV
2009
IEEE
17 years 17 days ago
Tensor completion for estimating missing values in visual data
In this paper we propose an algorithm to estimate missing values in tensors of visual data. The values can be missing due to problems in the acquisition process, or because the ...
Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping...
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
17 years 11 days ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...