Estimating depth information from a stereo images using classical computer vision
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Updated
Apr 18, 2022 - Python
Estimating depth information from a stereo images using classical computer vision
Progressive Decoder Fusion, Accepted at CoLLAs, 2022.
Practicing Pytorch and Studying Depth Estimation
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
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
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
Demo app that computes disparity maps using different stereo matching implementations from OpenCV.
Multi-task learning for scene understanding
University project for Digital Sistems
Mobile app in Java capable of capture image from RGBD cameras and IMU sensor values and send it through sockets.
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