Webapplication for image stitching and aligning
-
Updated
Mar 28, 2019 - C++
Webapplication for image stitching and aligning
ezSIFT: An easy-to-use standalone SIFT library written in C/C++
A cpp or ROS Warpper of HF-NET inference part (https://github.com/ethz-asl/hfnet)
Easy-to-Use C++ Computer Vision Library
A tutorial on stereoscopic depth maps, focusing on triangulation and rectification
Online feature-extraction and classification algorithm that learns representations of input patterns.
A ROS pipeline for GPU based feature detection, description and matching
ORB (Oriented Fast and Rotated BRIEF) feature for 16-bit image
Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
Mobile/PC Markerless AR detector&tracker core app
Modified cv::goodFeaturesToTrack to return detection score
Novel extreme-performance CPU-GPU cooperative feature detector-descriptor for computer vision.
Highly optimized implementation of the SURF feature detector/descriptor algorithm with improved cache locality, SIMD and autotuning.
Python code to stabalize a video using motion compensation.
C++ utility library providing build platform, compiler, and Standard Library feature detection
Feature tracking module to evaluate various detector / descriptor combinations for autonomous vehicle collision detection system.
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.
In this project, we are tracking an object in environment with the help of combination of feature detection in consecutives images and lidar point cloud. So, we can calculate TTC with vehicle in front of autonomous system.
Add a description, image, and links to the feature-detection topic page so that developers can more easily learn about it.
To associate your repository with the feature-detection topic, visit your repo's landing page and select "manage topics."