File: table_of_content_features2d.markdown

package info (click to toggle)
opencv 3.2.0%2Bdfsg-6
  • links: PTS, VCS
  • area: main
  • in suites: buster
  • size: 238,480 kB
  • sloc: xml: 901,650; cpp: 703,419; lisp: 20,142; java: 17,843; python: 17,641; ansic: 603; cs: 601; sh: 516; perl: 494; makefile: 117
file content (95 lines) | stat: -rw-r--r-- 2,328 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
2D Features framework (feature2d module) {#tutorial_table_of_content_features2d}
=========================================

Learn about how to use the feature points detectors, descriptors and matching framework found inside
OpenCV.

-   @subpage tutorial_harris_detector

    *Compatibility:* \> OpenCV 2.0

    *Author:* Ana Huamán

    Why is it a good idea to track corners? We learn to use the Harris method to detect
    corners

-   @subpage tutorial_good_features_to_track

    *Compatibility:* \> OpenCV 2.0

    *Author:* Ana Huamán

    Where we use an improved method to detect corners more accuratelyI

-   @subpage tutorial_generic_corner_detector

    *Compatibility:* \> OpenCV 2.0

    *Author:* Ana Huamán

    Here you will learn how to use OpenCV functions to make your personalized corner detector!

-   @subpage tutorial_corner_subpixeles

    *Compatibility:* \> OpenCV 2.0

    *Author:* Ana Huamán

    Is pixel resolution enough? Here we learn a simple method to improve our accuracy.

-   @subpage tutorial_feature_detection

    *Compatibility:* \> OpenCV 2.0

    *Author:* Ana Huamán

    In this tutorial, you will use *features2d* to detect interest points.

-   @subpage tutorial_feature_description

    *Compatibility:* \> OpenCV 2.0

    *Author:* Ana Huamán

    In this tutorial, you will use *features2d* to calculate feature vectors.

-   @subpage tutorial_feature_flann_matcher

    *Compatibility:* \> OpenCV 2.0

    *Author:* Ana Huamán

    In this tutorial, you will use the FLANN library to make a fast matching.

-   @subpage tutorial_feature_homography

    *Compatibility:* \> OpenCV 2.0

    *Author:* Ana Huamán

    In this tutorial, you will use *features2d* and *calib3d* to detect an object in a scene.

-   @subpage tutorial_detection_of_planar_objects

    *Compatibility:* \> OpenCV 2.0

    *Author:* Victor Eruhimov

    You will use *features2d* and *calib3d* modules for detecting known planar objects in
    scenes.

-   @subpage tutorial_akaze_matching

    *Compatibility:* \> OpenCV 3.0

    *Author:* Fedor Morozov

    Using *AKAZE* local features to find correspondence between two images.

-   @subpage tutorial_akaze_tracking

    *Compatibility:* \> OpenCV 3.0

    *Author:* Fedor Morozov

    Using *AKAZE* and *ORB* for planar object tracking.