This respository contains code that implements various computer vision algorithms for object tracking in 2D camera images
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Updated
Dec 21, 2021 - C++
This respository contains code that implements various computer vision algorithms for object tracking in 2D camera images
Computer Vision: Akaze-Kaze Features Based Consecutive Frame Matching- Video Analysis
cv/opencl learning project
OpenGL Capability Information Tool
Tool to extract jet stream core lines from ERA5 data
Representing objects in 3D dimensional space using feature extraction and Unity engine.
Minimal-dependency Computer Vision & Image Processing library built in C++17.
A simple PlatformIO library for extracting basic ten features per axis from a window or segment of 3 axis accelerometer or similar sensor data for ESP32 or similar boards
K-Means image segmentation (feature extraction) that just works. Lightweight and low footprint C++ implementation.
A library for the collection of common low-level features used in learning-to-rank algorithms.
Enhanced Vocabulary Trees for Real-Time Object Recognition in Image and Video Streams
Visualize various feature value distribution
Final Project of Computer Vision Exam (A.Y. 2022/2023) from Prof. Zanuttigh
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.
A framework for the efficient representation and analysis of triangulated terrains
Calculate time-to-collision by using Lidar and camera
Data Capture part and feature extraction part of Speech Recogntion
This is an implementation of a test platform for the comparison of the different techniques of palmprint recognition. With possibility of importing a database of palmprints, as well as a basic image. Then, this platform can automatically determine which of these data should correspond to the reference image.
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