This is a ROS package, written in CUDA C, that's able to recognize doors using Canny and Harris filters.
Implement handcrafted algorithms in Computer Vision (e.g. Harris corner detector, SIFT & Blob detector)
CS663 - Digital Image Processing Programming Assignments
Harris Corner Detector is a corner detection operator that is commonly used in computer vision algorithms to extract corners and infer features of an image.
From a set of images with overlapping content, we use Harris features to attach them all together into a single Panoramic Image
Basic RANSAC algorithm from scratch and image stitching using Harris detector and SIFT descriptor
Contains crude computer vision techniques with less emphasis on Deep learning
Local Feature Matching
[OpenCV] Course assignments for Computer Vision.
A CUDA-acclerated Harris Corner Detector
Computer Vision course at Technical University of Munich
Point transformation and Histogram Correction of an Image, as well as Hough transform, Harris Corner Detection, rotation and cropping.
ComputerVision Practical Session
compooter vision
Program for Harris Corner Detection with non-maximum Suppression, HOG Feature Extraction, Feature Comparison, Gaussian Noise and Smoothing.
Computer vision project on camera calibration and other tasks
This repository implements the Harris Corner Detection Method using Python
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