Лабораторные работы по курсу компьютерного зрения
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Updated
May 26, 2016 - C++
Лабораторные работы по курсу компьютерного зрения
This c++ implementation RANSAC algorithm finds the n best fitting circles out of the given points.
Does simple video stabilization by per frame RANSAC based image registration. Video Result and sample included within
Explore object recognition, segmentation, and how to process depth data from camera sensors to help a robot better understand and navigate its world.
Involves the OpenCV based C++ implementation to detect and track roads for almost realtime performance
3D Perception project for the Robotics Nanodegree Program
The Random Cluster Model for Robust Geometric Fitting
C++/CUDA solutions, slides, and resources for Udacity's Intro to Computer Vision (UD810) course.
Latent RANSAC implementation, based on USAC
The project was run in ROS and RViz simulation to practice 3D image segmentation and train a robot with SVM algorithm.
An in-depth tutorial on the theory of panorama stitching
Code for our ECCV 2018 paper "Affine Correspondences between Central Cameras for Rapid Relative Pose Estimation"
implementation of RANSAC for 2D points in C++ with testing/verification code in python
Image matching points finder based on RANSAC method, AI course at Wroclaw University of Science and Technology. Implementation is done in C++ with QT lib serving as visualization tool.
Sensor Fusion Nanodegree (Udacity) Projects.
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