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Augmented-Reality-from-scratch

In this project series we are going to implement a series of project files, where at the end we will make a Final Software which will be capable to take a picture from us and augment any 3-D model or any other picture to the live video stream.

First Module Details : (FEATURE DETECTION)

  • It explains the concept of Feature Detection and Description.
  • Oriented FAST and Rotated BRIEF (ORB) used, being Open Source.
  • Feature detected and marked as green points in the image (meluha.jpg)
  • Next video aim : To use the features for live stream feature matching.
  • Video Link : Youtube Video Explanation Here

Second Module Details: (FEATURE MATCHING)

  • It explains the concept of feature matching.
  • Feature Matching Attained with FLANN Based Matcher
  • Next Video Aim: To compute the Homography Matrix and Augment Image on realtime frame.
  • Video link : Explanation Video Here.

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Augmented Reality implemented using OpenCV and python.

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