mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2024-11-27 20:50:25 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

Merge pull request #16100 from sajarindider:brief

Browse Source 
* (doc): added info about STAR

* (doc): fixed typos and sentence structure

* fixed trailing whitespaces
This commit is contained in:
Sajarin 2019-12-15 04:42:19 -05:00 committed by Alexander Alekhin
parent 90a17cf964
commit 21ee54c3d1
1 changed files with 10 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
doc/py_tutorials/py_feature2d/py_brief/py_brief.markdown
View File

@ -43,11 +43,19 @@ points than for SURF points.
In short, BRIEF is a faster method feature descriptor calculation and matching. It also provides
high recognition rate unless there is large in-plane rotation.
STAR(CenSurE) in OpenCV
------
STAR is a feature detector derived from CenSurE.
Unlike CenSurE however, which uses polygons like squares, hexagons and octagons to approach a circle,
Star emulates a circle with 2 overlapping squares: 1 upright and 1 45-degree rotated. These polygons are bi-level.
They can be seen as polygons with thick borders. The borders and the enclosed area have weights of opposing signs.
This has better computational characteristics than other scale-space detectors and it is capable of real-time implementation.
In contrast to SIFT and SURF, which find extrema at sub-sampled pixels that compromises accuracy at larger scales,
CenSurE creates a feature vector using full spatial resolution at all scales in the pyramid.
BRIEF in OpenCV
---------------
Below code shows the computation of BRIEF descriptors with the help of CenSurE detector. (CenSurE
detector is called STAR detector in OpenCV)
Below code shows the computation of BRIEF descriptors with the help of CenSurE detector.
note, that you need [opencv contrib](https://github.com/opencv/opencv_contrib)) to use this.
@code{.py}