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» Multiclass Object Recognition with Sparse, Localized Feature...
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155
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IBPRIA
2005
Springer
15 years 8 months ago
Monte Carlo Localization Using SIFT Features
The ability of finding its situation in a given environment is crucial for an autonomous agent. While navigating through a space, a mobile robot must be capable of finding its lo...
Arturo Gil, Óscar Reinoso, Maria Asunci&oac...
125
Voted
ICPR
2008
IEEE
15 years 9 months ago
Learning visual dictionaries and decision lists for object recognition
Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictiona...
Wei Zhang, Thomas G. Dietterich
161
Voted
ICPR
2006
IEEE
16 years 3 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
119
Voted
ICPR
2004
IEEE
16 years 3 months ago
Velocity Adaptation of Space-Time Interest Points
The notion of local features in space-time has recently been proposed to capture and describe local events in video. When computing space-time descriptors, however, the result may...
Ivan Laptev, Tony Lindeberg
148
Voted
CVPR
2007
IEEE
16 years 4 months ago
A Probabilistic Model for Object Recognition, Segmentation, and Non-Rigid Correspondence
We describe a method for fully automatic object recognition and segmentation using a set of reference images to specify the appearance of each object. Our method uses a generative...
Ian Simon, Steven M. Seitz