the web page for my master research

Code for the SIGGRAPH 2021 paper "Consistent Depth of Moving Objects in Video".

Edge-based Monocular Depth Estimation

A Project that primarily uses mono vision cameras and auxiliary sensors to estimate depth of scenes.

This repository contain code for Collision avoidance, Monocular and Stereo Depth Estimation

YOLO-KITTI Detection, Depth Estimation and SLAM Integration

Demo app that computes disparity maps using different stereo matching implementations from OpenCV.

Multi-task learning for scene understanding

University project for Digital Sistems

Process (read and write) depth data, RGB images directly from inter realsense camera or .bag files.

Implementation of depth estimation with the MiDaS using Unity Barracuda.

Implementation of Algorithms for estimating the defocus map from a single defocused image source using image processing techniques and mathematical modelling.

Depth map from stereo pair. Implementation of "Fast Cost-Volume Filtering for Visual Correspondence and Beyond

This is a final project for CS 674: Intelligent Visual Computing.

MiDaS is a deep learning model for monocular depth estimation, which means it can estimate the depth of objects in a single 2D image.

Official implementation of 'MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and Motion'

Dense Disparity Map Estimation using Stereo Cameras

Project that estimates the distance a car is on a road based on the relationship between the real size of the car and the size it appears in the video obtained. It also estimates the lane the car are traveling in at any given time based on the angle between the position of the car and camera, even guess lane change intentions

Real-Time Person Detection with Landmark Detection and Depth Estimation

Estimating depth information from a stereo images using classical computer vision