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Final project for Computer Vision course at AIT Fall 2016

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Video Stabilizer

Computer Vision for Digital Post-Production, AIT-Budapest, Fall 2016

FILE STRUCTURE

Main implementation in src/R2Image.cpp.

Functionalities implemented include:

  • Gaussian Blur
  • Sharpen
  • Sobel Filters
  • Harris Corner Detector
  • By-frame Feature Tracker
  • Homography Blender
  • Gaussian Smooth for Vector Sequences
  • and the final Video Stabilizer that utilizes and combines the previous functions.

Other files:

  • src/ - Directory with source code
  • Makefile - Unix/Mac makefile for building the project with "make".
  • imagepro.[vcproj/sln/suo] - Project file for Visual Studio 2005 on Windows
  • imgpro.cpp - Main program, parses the command line arguments, and calls the appropriate image functions
  • R2Image.[cpp/h] - Image class with processing functions (this is the only file that you need to edit)
  • R2Pixel.[cpp/h] - Pixel class
  • R2/ - A library of useful 2D geometric primitives
  • jpeg/ - A library for reading/writing JPEG files
  • input/ - Contains example input images.
  • output/ - Es empty to start -- it will contain the images produced by your program (see below)
  • runme.bat - a script (for Windows) that you will fill in to demonstrate execution of your program
  • runme.sh - same as runme.bat, but for Mac OS X

COMPILATION

If you are developing on a Windows machine and have Visual Studio installed, use the provided project solution file (assn1.sln) in the src/ directory to build the program.

If you are developing on a Mac or Linux machine, cd into the src/ directory and type "make". In either case, an executable called imgpro (or imgpro.exe) will be created in the src/ directory.

RUNNING VIDEO STABILIZER

Modify the runme bash with appropriate commands.

For Mac or Linux Users,

  • Use ffmepg to turn a video into a sequence of image frames, then
  • add command src/imgpro <foo: some random input image name> <bar: some random out image name> -videoStabilization <int: number of frames> <folder: input images> <folder: output images>to runme.sh, then
  • use ffmepg to turn the image sequence back into a video.

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Final project for Computer Vision course at AIT Fall 2016

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