Modality,用於從密集深度圖計算量化的表面法線。 更多...
#include <opencv2/rgbd/linemod.hpp>
Modality,用於從密集深度圖計算量化的表面法線。
◆ 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 ) |
建構函式。
- 引數
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| distance_threshold | 忽略超出此距離的畫素。 |
| difference_threshold | 在計算法線時,忽略深度差與中心畫素的深度差高於此閾值的畫素的貢獻。 |
| num_features | 模板必須包含多少個特徵。 |
| extract_threshold | 僅當在 extract_threshold 的距離內沒有不同的方向時才將其視為候選特徵。 |
◆ 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 |
此類文件由以下檔案生成