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» Improving Bag-of-Features for Large Scale Image Search
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95
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CVPR
2010
IEEE
15 years 6 months ago
Supervised Translation-Invariant Sparse Coding
In this paper, we propose a novel supervised hierarchical sparse coding model based on local image descriptors for classification tasks. The supervised dictionary training is perf...
Jianchao Yang, Kai Yu, Thomas Huang
106
Voted
ICRA
2008
IEEE
107views Robotics» more  ICRA 2008»
15 years 4 months ago
Storing and recalling information for vision localization
— In implementing a vision localization system, a crucial issue to consider is how to efficiently store and recall the necessary information so that the robot is not only able t...
Christian Siagian, Laurent Itti
DICTA
2008
14 years 11 months ago
Exploiting Part-Based Models and Edge Boundaries for Object Detection
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
ICCV
2009
IEEE
1176views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Building Rome in a Day
We present a system that can match and reconstruct 3D scenes from extremely large collections of photographs such as those found by searching for a given city (e.g., Rome) on In...
Sameer Agarwal, Noah Snavely, Ian Simon, Steven M....
AVSS
2007
IEEE
15 years 4 months ago
Experiments with patch-based object classification
We present and experiment with a patch-based algorithm for the purpose of object classification in video surveillance. A feature vector is calculated based on template matching o...
Rob G. J. Wijnhoven, Peter H. N. de With