MaiSci ☕

  This project is from cs6476 computer vision. The main goal is to project images or videos onto a target video with a wall marked by corner templates. Homography transformation is the main theory used in the project. Results are displayed in the following images and videos. corners located correctly, frames marked as blue lines markers located in a noisy image image (UT tower) projected on the wall image projected on the wall with noises image projected on the wall:  Virtual TV on the wall: (penguin video from  BBC )

This is a project of cs6476 computer vision I am taking. The project is based on the open-cv library and focuses on stationary scenarios with/without noises. It is only allowed to use geometry and basic Hough methods such as HoughCircles, HoughLines, HoughLinesP to recognize the followings: traffic lights and their status, “red”, “yellow”, or “green”; stop signs; yield signs; no-entry signs; warning signs; construction signs. Details of implementation and code are not allowed to share according to student integrity rules of the course. Here only displayed the results under artificial and real images. Detected Green Traffic Light (Artificial Clear Image) Detected Traffic Signs (Artificial Clear Image) More Detected Traffic Signs (Artificial Clear Image) Detected Traffic Signs (Artificial Noisy Image) Detected Stop Sign (Real Image) Detected Yield Sign (Real Image) Detected Warning and Yield Signs (Real Image Stitched)