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

Creating and demonstrating hybrid images with OpenCV and Python3.

Computer vision exercise with Python and OpenCV.

Computer Vision Projects

Working repository for Computer Vision course 2018.

All academic quizzes, assignments and projects are here

Code accompanying the paper: "Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture"

DeepSee is an image processing project that applies advanced spatial and frequency domain techniques for filtering, segmentation, boundary detection, and facial recognition. It features a responsive GUI with multiprocessing, multithreading, and both dark and light modes.

Construct a hybrid image of two images.

Simple hybrid image generator, plus a few other elementary applications of image processing and noise reduction.

A framework to generate multi-view spectrogram-integrated image.

Assignments in NCTU Computer Vision class (ILE5062)

Implementation of Hybrid Images proposed in the SIGGRAPH 2006 paper by Oliva, Torralba, and Schynsand

Implementation to quickly produce hybrid images with lines of text.

Hybrid Image Synthesis

Create hybrid images using image filtering techniques

Hybrid Image, Lucas-Kanade optical flow algorithm

Image-Filtering-and-Create-Hybrid-Images

This Repository contains all of my Computer Vision Projects.

Visão Computacional (UTFPR)