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imagestabilizer

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- - .gitignore
  - build.gradle
  - gradle.properties
  - gradlew
  - gradlew.bat
  - ImageStabilizer.iml
  - settings.gradle
- - .gitignore
  - build.gradle
  - gradle.properties
  - gradlew
  - gradlew.bat
  - ImageStabilizer.iml
  - import-summary.txt
  - old_ImageStabilizer.iml
  - settings.gradle
- demo.gif
- demo.mov
- LICENSE.txt
- result1.gif
- result1.mov
- result2.gif
- result2.mov
- result3.gif
- result3.mov
- - AppDelegate.h
  - AppDelegate.m
  - comment_profile_bg.png
  - FeatureExtractor.h
  - FeatureExtractor.mm
  - ImageStabilizer.h
  - ImageStabilizer.mm
  - ImageStabilizerWrapper.h
  - ImageStabilizerWrapper.mm
  - Info.plist
  - main.m
  - OpenCVPrefix.pch
  - OpenCVUtils.h
  - OpenCVUtils.mm
  - temp.png
  - ViewController.h
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- - project.pbxproj
- - ImageStabilizationTests.m
  - Info.plist
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COPYING
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README.md

# Installation Guide

1. Get the code

git clone https://github.com/naver/imagestabilizer

Downloads the entire project code from GitHub to your computer.

cd imagestabilizer

Moves into the project folder you just downloaded.

2. Gradle (Java/Kotlin)

Medium Recommended

Prerequisites

Git Needed to download the project code from GitHub.
JDK (Java) Required to build and run Java/Kotlin projects.
Gradle If the repo includes gradlew (Gradle Wrapper), you don't need to install Gradle separately.

⚠️ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.

cd android/ImageStabilizer/app

This project's files live in a subfolder, so move into it first.

./gradlew build

Builds the project using Gradle.

✅ A BUILD SUCCESSFUL message means it worked. The output is created under build/.

// repository documentation

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# ImageStabilizer
Image stabilization using features detector in IOS and Android

## Overview
Image stabilization is a essential technique when you take images using continuous shooting.
There are many approaches to solve this problem but this project use the feature extraction.

* At first, Extract features from image using Feature extractor like SIFT, SURF. In this project, I use FAST+ORB, because it is fast and there is no patent issue.
* Find Matching features in two images. There are many matching technique but I just use Bruteforce Matcher because it is simple and result is not bad in this project.
* Last, Get geometric transformation matrix which is minimize error of transformed points. RANSAC is used for this process.

All this process are simply implemented using OpenCV

## Screenshot
![result1.gif](https://raw.githubusercontent.com/naver/imagestabilizer/master/docs/result1.gif)
![result3.gif](https://raw.githubusercontent.com/naver/imagestabilizer/master/docs/result3.gif)

Top animated image shows original images and bottom animated image is stabilized images using ImageStabilizer.

## Requirement
1. OpenCV Framework

## Usage
Import ImageStabilizer
```objectiveC
  #import "ImageStabilizer.h"
  ImageStabilizer* stabilizer = [[ImageStailizer alloc] init];
```
  
Set first image to compare with others.
```objectiveC
  -(void) setStabilizeSourceImage:(UIImage*) sourceImage;
```

Get stabilized image
```objectiveC
  -(UIImage*) stabilizeImage:(UIImage*)targetImage;
```

Get stabilized image in android
```java
public ArrayList<Bitmap> stabilizedImages(ArrayList<Bitmap> originals);
```

## Limitation
This program is based on OpenCV library.
It doesn't use GPU in IOS. it is obviously more slower than library that it uses GPU.
So I want to improve this code to use GPU like GPUImage.

## References
* http://stackoverflow.com/questions/13423884/how-to-use-brisk-in-opencv
* http://docs.opencv.org/master/db/d70/tutorial_akaze_matching.html#gsc.tab=0
* https://www.willowgarage.com/sites/default/files/orb_final.pdf

## License
ImageStabilizer is licensed under the Apache License, Version 2.0.
See [LICENSE](/docs/LICENSE.txt) for full license text.

Copyright (c) 2015 Naver Corp.
        @Author Eunchul Jeon

Licensed under the Apache License, Version 2.0 (the "License");
        you may not use this file except in compliance with the License.
        You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
        distributed under the License is distributed on an "AS IS" BASIS,
        WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
        See the License for the specific language governing permissions and
        limitations under the License.