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Classes | |
| class | KeypointExt |
| Keypoints extension class. More... | |
Functions | |
| int | cluster_points (ANNpointArray points, int points_count, std::vector< int > &membership, float r_max=600.0f, float r_min=200.0f, float A=800.0f, float K=0.02f) |
| cluster keypoints in 2D image according to the logsig criterion using KdTree | |
| bool | compare_keypoint_ext (KeypointExt *k1, KeypointExt *k2) |
| bool | compare_pairs (std::pair< uint32_t, float > p1, std::pair< uint32_t, float > p2) |
| bool | compare_pairs2 (std::pair< std::string, int > p1, std::pair< std::string, int > p2) |
| double | logsig (double x) |
| int odu_finder::cluster_points | ( | ANNpointArray | points, | |
| int | points_count, | |||
| std::vector< int > & | membership, | |||
| float | r_max = 600.0f, |
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| float | r_min = 200.0f, |
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| float | A = 800.0f, |
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| float | K = 0.02f | |||
| ) |
cluster keypoints in 2D image according to the logsig criterion using KdTree
| points | 2D coordinate of every point | |
| points_count | number of keypoints | |
| membership | membership vector | |
| r_max | max radius for adaptive radius calculation | |
| r_min | min radius for adaptive radius calculation | |
| A | ||
| K |
| bool odu_finder::compare_keypoint_ext | ( | KeypointExt * | k1, | |
| KeypointExt * | k2 | |||
| ) |
| bool odu_finder::compare_pairs2 | ( | std::pair< std::string, int > | p1, | |
| std::pair< std::string, int > | p2 | |||
| ) |