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» Degraded Image Analysis: An Invariant Approach
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ICDAR
2011
IEEE
12 years 8 months ago
BLSTM Neural Network Based Word Retrieval for Hindi Documents
—Retrieval from Hindi document image collections is a challenging task. This is partly due to the complexity of the script, which has more than 800 unique ligatures. In addition,...
Raman Jain, Volkmar Frinken, C. V. Jawahar, Raghav...
ICCV
2005
IEEE
14 years 10 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
CAIP
1999
Springer
115views Image Analysis» more  CAIP 1999»
14 years 1 months ago
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
Jordi Vitrià, Petia Radeva, Xavier Binefa
DAGSTUHL
1994
13 years 10 months ago
Infrared Image Understanding
In this article, we present how it is possible to recover physical parameters of objects such as reflectivity, emissivity and thermal inertia from the analysis of infrared images ...
Claude Caillas
SLSFS
2005
Springer
14 years 2 months ago
Constructing Visual Models with a Latent Space Approach
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...