Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

updated readme for several opencv_contrib modules (done by Gary) #3635

Merged
merged 1 commit into from
Feb 11, 2024
Merged

updated readme for several opencv_contrib modules (done by Gary) #3635

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 8 additions & 3 deletions modules/alphamat/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,9 +1,14 @@
# Computer Vision based Alpha Matting

![Trimap Alphamat Example from Askoy et al 2017](https://github.com/opencv/opencv_contrib/assets/810997/5cafae51-18e1-4e75-9035-6b40c9a064cb)



This project was part of the Google Summer of Code 2019.

####Student: Muskaan Kularia
####Mentor: Sunita Nayak
#### Student: Muskaan Kularia
#### Mentor: Sunita Nayak

***
Alphamatting is the problem of extracting the foreground from an image. Given the input of an image and its corresponding trimap, we try to extract the foreground from the background.

Expand All @@ -20,4 +25,4 @@ This project is implementation of "[Designing Effective Inter-Pixel Information

[4] Qifeng Chen, Dingzeyu Li, Chi-Keung Tang, "[KNN Matting](http://dingzeyu.li/files/knn-matting-tpami.pdf)", IEEE TPAMI, 2013.

[5] Yagiz Aksoy, "[Affinity Based Matting Toolbox](https://github.com/yaksoy/AffinityBasedMattingToolbox)".
[5] Yagiz Aksoy, "[Affinity Based Matting Toolbox](https://github.com/yaksoy/AffinityBasedMattingToolbox)".
7 changes: 6 additions & 1 deletion modules/aruco/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,10 +3,15 @@ ArUco Marker Detection

**ArUco**

![markers](https://github.com/opencv/opencv_contrib/assets/810997/8d587456-f27f-49e4-9540-28a0477d43fc)

ArUco markers are easy to detect pattern grids that yield up to 1024 different patterns. They were built for augmented reality and later used for camera calibration. Since the grid uniquely orients the square, the detection algorithm can determing the pose of the grid.

**ChArUco**

![screen_charuco](https://github.com/opencv/opencv_contrib/assets/810997/64610da1-ee06-406c-a19b-006b02ac44fd)


ArUco markers were improved by interspersing them inside a checkerboard called ChArUco. Checkerboard corner intersections provide more stable corners because the edge location bias on one square is countered by the opposite edge orientation in the connecting square. By interspersing ArUco markers inside the checkerboard, each checkerboard corner gets a label which enables it to be used in complex calibration or pose scenarios where you cannot see all the corners of the checkerboard.

The smallest ChArUco board is 5 checkers and 4 markers called a "Diamond Marker".
The smallest ChArUco board is 5 checkers and 4 markers called a "Diamond Marker".
8 changes: 8 additions & 0 deletions modules/line_descriptor/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,3 +2,11 @@ Binary Descriptors for Line Segments
====================================

This module shows how to extract line segments from an image by 2 different methods: First segmenting lines with Line Segment Detector LSDDetector and then (or just) using the Binary Descriptor to get the lines and give them a descriptor -- BinaryDescriptor. Finally, we can then match line segments using the BinaryDescriptorMatcher class.

## Two views of a builing
![Two views of a building](https://github.com/opencv/opencv_contrib/assets/810997/e5d438f9-5745-447c-b189-111a16fcdc76)

## Line segments detected and matched
![LSD segments detected and matched](https://github.com/opencv/opencv_contrib/assets/810997/22d89e93-24ad-4939-b48c-9223c76889bd)

* [Image examples from CSDN](https://blog.csdn.net/Small_Munich/article/details/87990946)
Loading