Tracking the key point feature in preceding vehicle using Computer vision.
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Updated
Mar 1, 2021 - C++
Tracking the key point feature in preceding vehicle using Computer vision.
Feature tracking module to evaluate various detector / descriptor combinations for autonomous vehicle collision detection system.
cv/opencl learning project
Feature tracking using keypoints and descriptors
Python code to stabalize a video using motion compensation.
C++ feature detection, utilities, and Standard Library feature implementations (C++17, C++2a, C++20)
MY ACTUAL FINAL PROJECT IS final_project_2 folder
It is a project of detecting feature poings based on OpenCV.
ORB (Oriented Fast and Rotated BRIEF) feature for 16-bit image
Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
C++ utility library providing build platform, compiler, and Standard Library feature detection
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.
Novel extreme-performance CPU-GPU cooperative feature detector-descriptor for computer vision.
A ROS pipeline for GPU based feature detection, description and matching
Highly optimized implementation of the SURF feature detector/descriptor algorithm with improved cache locality, SIMD and autotuning.
Modified cv::goodFeaturesToTrack to return detection score
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.
Online feature-extraction and classification algorithm that learns representations of input patterns.
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