corner-detection

LCNN: End-to-End Wireframe Parsing

Image Processing with Cellular Neural Networks in Python

From identity card image, this repo detect 4 corners, align by OpenCV, then detect word in image and recognize word by Transformer OCR.

Implentation of the Arc* algorithm, described in "Asynchronous Corner Detection and Tracking for Event Cameras in Real Time", Alzugaray & Chli, RA-L 2018

Computer Vision - Impemented algorithms - Hybrid image, Corner detection, Scale space blob detection, Scene classifiers, Vanishing point detection, Finding height of an object, Image stitching.

FAST-9 Accelerator for Corner Detection

Design real-time image processing, object recognition and PID control for Autonomous Drone.

An implementation of phase congruency image features detection: edges and corners.

An implementation of Edward Rosten's FAST corner detection algorithm

This project aims to build a digital business card wallet, as a mobile application. This application basically can take a picture of a business card, automatically extracting information about the card, and saves it in the user's digital wallet.

Find the implementation of Computer vision-based projects with Python, Deep Learning, and OpenCV

A faster re-implementation of the FAST-9 algorithm (C++, with C bindings available)

In this repo advanced vision tools are used . Algorithms for edge detection of various filters and scaling.

This repo contains some object detection algorithms and techniques (Not ML algorithms). This is aimed to get coordinates, width, height, and rotation of objects.

A Shape Finder using Corner-Harris and Heirarchical Clustering

Basic OpenCV Projects like Face Detection, Contour, Edge Detection etc

Binary image matrix and applies a series of custom corner and edge detection kernels to identify specific patterns in the image.

A naive algorithm to identify corners on a image

This project detects harris corner of the pattern, and cluster these corners based on the density，and then process these clustered pattern to identify which pattern it is and the object is find the feature points of these pattern and using pop to calculate the extrinsic parameters of the camera.

Features from Accelerated Segment Test (FAST)