Renesas
/
opencv-lib
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Object Categorization
[2D Features Framework]
This section describes approaches based on local 2D features and used to categorize objects. More...
Data Structures | |
| class | BOWTrainer |
| Abstract base class for training the *bag of visual words* vocabulary from a set of descriptors. More... | |
| class | BOWKMeansTrainer |
| kmeans -based class to train visual vocabulary using the *bag of visual words* approach. More... | |
| class | BOWImgDescriptorExtractor |
| Class to compute an image descriptor using the *bag of visual words*. More... | |
Detailed Description
This section describes approaches based on local 2D features and used to categorize objects.
- Note:
- A complete Bag-Of-Words sample can be found at opencv_source_code/samples/cpp/bagofwords_classification.cpp
- (Python) An example using the features2D framework to perform object categorization can be found at opencv_source_code/samples/python/find_obj.py
- A complete Bag-Of-Words sample can be found at opencv_source_code/samples/cpp/bagofwords_classification.cpp
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