Modality,用于从密集深度图计算量化的表面法线。 更多...
#include <opencv2/rgbd/linemod.hpp>
Modality,用于从密集深度图计算量化的表面法线。
◆ DepthNormal() [1/2]
| cv::linemod::DepthNormal::DepthNormal |
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◆ 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 ) |
构造函数。
- 参数
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| distance_threshold | 忽略超出此距离的像素。 |
| difference_threshold | 在计算法线时,忽略深度差与中心像素的深度差高于此阈值的像素的贡献。 |
| num_features | 模板必须包含多少个特征。 |
| extract_threshold | 仅当在 extract_threshold 的距离内没有不同的方向时才将其视为候选特征。 |
◆ 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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static |
| Python |
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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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const |
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virtual |
◆ processImpl()
◆ read()
| virtual void cv::linemod::DepthNormal::read |
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const FileNode & | fn | ) |
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virtual |
◆ write()
| virtual void cv::linemod::DepthNormal::write |
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FileStorage & | fs | ) |
const |
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virtual |
◆ 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 |
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