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Scenes/Objects classification toolbox 1.0

  Date Added: September 13, 2013  |  Visits: 179

Scenes/Objects classification toolbox

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Scenes/Objects Rocognition toolbox v0.12---------------------------------------This toolbox provides some basic tools for scenes/object recognition in vision systems.Based on supervised classification, this toolbox offerts some state-of-art descriptors coupled with fast and efficient classifiers.Descriptors are divided in two famillies:i) "direct" features computed from images [1,2,3,4,5,19],ii) "dictionnary learning + spatial pooling" features computed from a collection of patches: a) Bag of Features [6,7] and b) Sparse Dictionary learning [8,9].Large-Scale Linear SVM such Liblinear [10] or Pagasos [11] are used to train models since features are almost perfectly linearly separable.Non-linear Kernels extension for additive homogeneous kernels (chi2, intersection histogram, etc...) is performed through features map method [12,22].The main objective of this toolbox is to deliver simple but efficient tools, easy to modify, mainly written in C codes with a matlab interface.Please open readme.txt for full instructions

Requirements: No special requirements
Platforms: Matlab
Keyword: Additive Extension Homogeneous Kernels Liblinear Linearly Nonlinear Perfectly Separable
Users rating: 0/10

License: Shareware Size: 19.54 MB
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