Modality that computes quantized surface normals from a dense depth map.
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#include <opencv2/rgbd/linemod.hpp>
Modality that computes quantized surface normals from a dense depth map.
◆ DepthNormal() [1/2]
cv::linemod::DepthNormal::DepthNormal |
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Default constructor. Uses reasonable default parameter values.
◆ DepthNormal() [2/2]
cv::linemod::DepthNormal::DepthNormal |
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int | distance_threshold, |
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int | difference_threshold, |
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size_t | num_features, |
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int | extract_threshold ) |
Constructor.
- Parameters
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distance_threshold | Ignore pixels beyond this distance. |
difference_threshold | When computing normals, ignore contributions of pixels whose depth difference with the central pixel is above this threshold. |
num_features | How many features a template must contain. |
extract_threshold | Consider as candidate feature only if there are no differing orientations within a distance of extract_threshold. |
◆ create()
static Ptr< DepthNormal > cv::linemod::DepthNormal::create |
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int | distance_threshold, |
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int | difference_threshold, |
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size_t | num_features, |
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int | extract_threshold ) |
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| cv.linemod.DepthNormal.create( | distance_threshold, difference_threshold, num_features, extract_threshold | ) -> | retval |
| cv.linemod.DepthNormal_create( | distance_threshold, difference_threshold, num_features, extract_threshold | ) -> | retval |
◆ name()
virtual String cv::linemod::DepthNormal::name |
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◆ processImpl()
◆ read()
virtual void cv::linemod::DepthNormal::read |
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const FileNode & | fn | ) |
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◆ write()
virtual void cv::linemod::DepthNormal::write |
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FileStorage & | fs | ) |
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◆ difference_threshold
int cv::linemod::DepthNormal::difference_threshold |
◆ distance_threshold
int cv::linemod::DepthNormal::distance_threshold |
◆ extract_threshold
int cv::linemod::DepthNormal::extract_threshold |
◆ num_features
size_t cv::linemod::DepthNormal::num_features |
The documentation for this class was generated from the following file: