Represents a modality operating over an image pyramid.
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#include <opencv2/rgbd/linemod.hpp>
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virtual | ~QuantizedPyramid () |
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virtual bool | extractTemplate (Template &templ) const =0 |
| Extract most discriminant features at current pyramid level to form a new template.
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virtual void | pyrDown ()=0 |
| Go to the next pyramid level.
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virtual void | quantize (Mat &dst) const =0 |
| Compute quantized image at current pyramid level for online detection.
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static void | selectScatteredFeatures (const std::vector< Candidate > &candidates, std::vector< Feature > &features, size_t num_features, float distance) |
| Choose candidate features so that they are not bunched together.
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Represents a modality operating over an image pyramid.
◆ ~QuantizedPyramid()
virtual cv::linemod::QuantizedPyramid::~QuantizedPyramid |
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inlinevirtual |
◆ extractTemplate()
virtual bool cv::linemod::QuantizedPyramid::extractTemplate |
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Template & |
templ | ) |
const |
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pure virtual |
Python: |
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| cv.linemod.QuantizedPyramid.extractTemplate( | | ) -> | retval, templ |
Extract most discriminant features at current pyramid level to form a new template.
- Parameters
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[out] | templ | The new template. |
◆ pyrDown()
virtual void cv::linemod::QuantizedPyramid::pyrDown |
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pure virtual |
Python: |
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| cv.linemod.QuantizedPyramid.pyrDown( | | ) -> | None |
Go to the next pyramid level.
- Todo:
- Allow pyramid scale factor other than 2
◆ quantize()
virtual void cv::linemod::QuantizedPyramid::quantize |
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Mat & |
dst | ) |
const |
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pure virtual |
Python: |
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| cv.linemod.QuantizedPyramid.quantize( | [, dst] | ) -> | dst |
Compute quantized image at current pyramid level for online detection.
- Parameters
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[out] | dst | The destination 8-bit image. For each pixel at most one bit is set, representing its classification. |
◆ selectScatteredFeatures()
static void cv::linemod::QuantizedPyramid::selectScatteredFeatures |
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const std::vector< Candidate > & |
candidates, |
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std::vector< Feature > & |
features, |
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size_t |
num_features, |
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float |
distance |
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staticprotected |
Choose candidate features so that they are not bunched together.
- Parameters
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[in] | candidates | Candidate features sorted by score. |
[out] | features | Destination vector of selected features. |
[in] | num_features | Number of candidates to select. |
[in] | distance | Hint for desired distance between features. |
The documentation for this class was generated from the following file: