Computer Vision and Image Recognition algorithms for R users

Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity

Implemented a pipeline for 2D image mosaic and stitching. Feature extraction & matching, Adaptive Non-Maximal Suppression (ANMS), geometric blur, RANSAC

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

C++/CUDA solutions, slides, and resources for Udacity's Intro to Computer Vision (UD810) course.

Implementation for Harris Corner Detection Algorithm in Python without using OpenCV functionality

Feature Tracking and testing of various keypoint detector/descriptor combinations, keypoint matching using Brute Force and FLANN approach.

Detecting important corners in images and real-time video using Harris Corner Detector. and Shi-tomasi corner Detector

Canny Edge Detection, Eigen Faces Face Recognition Algorithm, Applying Sobel Filter, Hough Lines, Harris Corner Detection as a Feature, Image Manipulation

The C++ project for traditional image keypoint detectors and descriptors

Floor Detection Algorithm

A set of from-scratch MATLAB scripts for detecting Harris corners and edges

Computer Vision @gtech MSCS

Program for Harris Corner Detection with non-maximum Suppression, HOG Feature Extraction, Feature Comparison, Gaussian Noise and Smoothing.

Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree

Image processing and vision based assignments completed in computer vision course

Simple solutions for computer vision from academic tasks

Computer Vision Algorithm Implementations

Code repository for automatic retrieval and registration of rodent brain atlases

Simple Structure From Motion pipeline from scratch