Enhanced Vocabulary Trees for Real-Time Object Recognition in Image and Video Streams
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Updated
Apr 11, 2025 - C++
Enhanced Vocabulary Trees for Real-Time Object Recognition in Image and Video Streams
Minimal-dependency Computer Vision & Image Processing library built in C++17.
Visualize various feature value distribution
K-Means image segmentation (feature extraction) that just works. Lightweight and low footprint C++ implementation.
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
Estimates time-to-collision in autonomous driving using Camera and LiDAR data, combining Object Detection with YOLO and keypoint matching for robust 3D object tracking
Representing objects in 3D dimensional space using feature extraction and Unity engine.
Tool to extract jet stream core lines from ERA5 data
A feature extraction program for 3D point clouds
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.
This repository is dedicated to the exercises and implementations of the algorithms developed during the Image Processing course.
Final Project of Computer Vision Exam (A.Y. 2022/2023) from Prof. Zanuttigh
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
Project: Camera Based 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
Thesis project for angular velocity tracking between projected image frames on 3D plane. Utilizing ORB SLAM engine for localizing monocular camera in space extracting common patterns, edges from image stream using vocabulary.
cv/opencl learning project
A library for the collection of common low-level features used in learning-to-rank algorithms.
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