Scenes/Objects classification toolbox

版本 1.2.0.0 (19.5 MB) 作者: Sebastien PARIS
Scenes recognition toolbox for vision systems
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更新时间 2011/4/25

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Scenes/Objects Rocognition toolbox v0.12
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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

引用格式

Sebastien PARIS (2024). Scenes/Objects classification toolbox (https://www.mathworks.com/matlabcentral/fileexchange/29800-scenes-objects-classification-toolbox), MATLAB Central File Exchange. 检索来源 .

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创建方式 R2009b
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版本 已发布 发行说明
1.2.0.0

0.12 - Add new normalization method.
- Better default parameters which improve results.
- Better databases handling.
- Add "triangle" soft assignement for K-means dictionary learning approach [21]

1.1.0.0

0.11
-Compile SPAMS with -largeArrayDims flag for WIN64 system
-Can handle any many databases where images per topics are in a specific folder with specific config files
- Read readme.txt for a complete of changes
1.0.0.0