Compute Parallax for difference between two images
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Updated
Nov 11, 2023 - C++
Compute Parallax for difference between two images
OpenCV based Image Stitching applied various method (using RealSense Camera) !!
Using OpenCV to match features and identify an object.
Make Rendered Database using Rendered Image Obtained by Trained Gaussian Splatting
Todo o conteúdo produzido para a unidade curricular VC (Visão por Computador), para o curso em Engenharia Informática e Computação na FEUP
3D scene reconstruction (stereo)
Map images to representation vectors.
Panoramic image stitching using traditional and deep learning approach
When given different views of an object as input, it can tell us if that specific object is present in a larger picture or not.
This repo consist of my project based on Udacity Sensor Fusion Nanodegree on 2D Image Feature tracking
Implementing the concept of Stereo Vision. We are given 3 different datasets, each of them containing 2 images of the same scenario but taken from two different camera angles. By comparing the information about a scene from 2 vantage points, we can obtain the 3D information by examining the relative positions of objects.
Computer vision small projects. Algorithms from scratch.
Calculate time-to-collision by using Lidar and camera
A Where's Waldo puzzle solver made using OpenCV and Python.
This is a project for socks card label validation where the socks card is validated comparing with the correct socks card whose coordinates are stored in the database. When the test socks card is compared with the correct socks card(master socks card) the software checks whether both test and master socks card matches or not.
Computer vision and cognitive systems: concepts, methods, and technologies
3d reconstruction from camera images
Code to easily try 17 different image matching methods
A computer vision toolkit focused on color detection and feature matching using OpenCV. It allows you to easily start the picamera in case you're using a Raspberry PI
A collection of scripts that handle and compare images based on terrain traversability estimation grid maps
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