This repository contains homework solutions and implementations for the Computer Vision (CSC8830) course at Georgia State University.
module2/: Contains implementations and exercises related to basic image processing techniques.module3/: Shows spatial convolution ≡ Frequency multiplication.module4/: Implements edge detection on a thermal image and compares results between classical OpenCV and SAM2 (Meta's Segment Anything Model).module6/: Reconstructs 3D structure of a planar object and estimates its boundary.week8-inClassAssignment: Detects tables/chairs with YOLO, localizes with stereo vision.final-inClassAssignent: Uncalibrated stereo pipeline. Computes F, E, R/t, estimates object distance.
This repository is for educational purposes.