SurfClassifier Class Reference
SURF classifier. More...
#include <classifiers/surf.h>
Public Member Functions | |
| SurfClassifier (std::string keypoints_descriptor_txt_file, unsigned int min_match=5, float min_match_ratio=MIN_MATCH_RATIO, int samplingStep=2, int octaves=4, double thres=4.0, bool doubleImageSize=false, int initLobe=3, bool upright=false, bool extended=false, int indexSize=4) | |
| Constructor. | |
| SurfClassifier (const char *image_directory_png_files, unsigned int min_match=5, float min_match_ratio=MIN_MATCH_RATIO, int samplingStep=2, int octaves=4, double thres=4.0, bool doubleImageSize=false, int initLobe=3, bool upright=false, bool extended=false, int indexSize=4) | |
| Constructor. | |
| virtual | ~SurfClassifier () |
| Destructor. | |
| virtual std::list< ROI > * | classify () |
| Classify image. | |
Detailed Description
SURF classifier.This class provides a classifier that uses SURF to detect objects in a given image by matching features. The objects are reported back as regions of interest. Each ROI contains an object. ROIs with 11x11 are matched features.
This code uses libSurf from http://www.vision.ee.ethz.ch/~surf/ and is partly based on code from their package.
Definition at line 60 of file surf.h.
Constructor & Destructor Documentation
| SurfClassifier::SurfClassifier | ( | std::string | keypoints_dir, | |
| unsigned int | min_match = 5, |
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| float | min_match_ratio = MIN_MATCH_RATIO, |
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| int | samplingStep = 2, |
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| int | octaves = 4, |
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| double | thres = 4.0, |
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| bool | doubleImageSize = false, |
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| int | initLobe = 3, |
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| bool | upright = false, |
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| bool | extended = false, |
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| int | indexSize = 4 | |||
| ) |
Constructor.
- Parameters:
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keypoints_dir location of the keypoints (descriptor file as a txt file) for the reference objects samplingStep Initial sampling step min_match minimum number of features that have to be matched per ROI min_match_ratio minimum ratio of features matched per object to be matched per ROI octaves Number of analysed octaves thres Blob response treshold doubleImageSize true to double the image size, false to keep original initLobe Initial lobe size, default 3 and 5 (with double image size) upright rotation invariance (fasle) or upright (true) extended true to use the extended descriptor (SURF 128) indexSize Spatial size of the descriptor window (default 4)
surf::ImLoad::saveImage( "obj.pgm", __obj_img);
Definition at line 211 of file surf.cpp.
References fawkes::TimeTracker::add_class(), fawkes::LibLogger::log_error(), fawkes::TimeTracker::ping_end(), and fawkes::TimeTracker::ping_start().
| SurfClassifier::SurfClassifier | ( | const char * | object_dir, | |
| unsigned int | min_match = 5, |
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| float | min_match_ratio = MIN_MATCH_RATIO, |
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| int | samplingStep = 2, |
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| int | octaves = 4, |
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| double | thres = 4.0, |
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| bool | doubleImageSize = false, |
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| int | initLobe = 3, |
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| bool | upright = false, |
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| bool | extended = false, |
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| int | indexSize = 4 | |||
| ) |
Constructor.
- Parameters:
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object_dir file that contains an image of the object to detect samplingStep Initial sampling step min_match minimum number of features that have to be matched per ROI min_match_ratio minimum ratio of features matched per object to be matched per ROI octaves Number of analysed octaves thres Blob response treshold doubleImageSize true to double the image size, false to keep original initLobe Initial lobe size, default 3 and 5 (with double image size) upright rotation invariance (fasle) or upright (true) extended true to use the extended descriptor (SURF 128) indexSize Spatial size of the descriptor window (default 4)
surf::ImLoad::saveImage( "obj.pgm", __obj_img);
Definition at line 330 of file surf.cpp.
References fawkes::TimeTracker::add_class(), fawkes::LibLogger::log_error(), fawkes::TimeTracker::ping_end(), and fawkes::TimeTracker::ping_start().
Member Function Documentation
| std::list< ROI > * SurfClassifier::classify | ( | ) | [virtual] |
Classify image.
The current buffer is processed and scanned for the features the classifier has been written and initialized for. It returns a list of disjunct regions of interest.
- Returns:
- disjunct list of extracted regions of interest
adding feature-ROI
increment feature-match-count
Implements Classifier.
Definition at line 522 of file surf.cpp.
References Classifier::_height, Classifier::_src, Classifier::_width, fawkes::cblue(), fawkes::cgreen(), fawkes::cnormal(), ROI::num_hint_points, fawkes::TimeTracker::ping_end(), and fawkes::TimeTracker::ping_start().
The documentation for this class was generated from the following files:
