Computer vision experiment. Include image match algorithm, such as ferns, sift, surf and orb, and intelligent scissors algorithm which is realized on mfc.
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Updated
Jun 8, 2018 - C++
Computer vision experiment. Include image match algorithm, such as ferns, sift, surf and orb, and intelligent scissors algorithm which is realized on mfc.
动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
Finds the stereo disparity between a pair of stereo images using SIFT and ORB algorithms
Final Project of Computer Vision Exam (A.Y. 2022/2023) from Prof. Zanuttigh
Code for Eye Tracking For Target Acquisition In Sparse Visualization on ETRA ETVIS2020
Project: Camera Based 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
ORB (Oriented Fast and Rotated BRIEF) feature for 16-bit image
Computer Vision Basic Algorithms. SIFT, ORB, Frame Matching, Stitching, Basic Panorama
This is a simple high performance one-to-one network stream code for extracting and streaming ORB features from each frame collected by an edge device that utilizes CUDA to some server.
3D object tracking using keypoint detection and feature matching, lidar point cloud data, and image classification using YOLO deep learning model.
Minimal-dependency Computer Vision & Image Processing library built in C++17.
Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).
Projects of Computer Vision Exam (A.Y. 2022/2023) from Prof. Zanuttigh
Testing various detector / descriptor combinations to see which ones perform best to be used in a collision detection system. Also 2 different approaches (FLANN vs. Brute-force with the descriptor distance ratio test) for keypoints matching are tested.
Feature Tracking and testing of various keypoint detector/descriptor combinations, keypoint matching using Brute Force and FLANN approach.
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