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.
Implemented a pipeline for 2D image mosaic and stitching. Feature extraction & matching, Adaptive Non-Maximal Suppression (ANMS), geometric blur, RANSAC
Ear alignment using RANSAC (and SIFT for feature extraction) 👂🏼
Panorama using Ransac and DLT algorithm
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.
MATLAB implementation of RANSAC for determining Homography Transformation Matrix for Image Stitching
Involves the OpenCV based C++ implementation to detect and track roads for almost realtime performance
The goal of this assignment is to implement robust homography and fundamental matrix estimation to register pairs of images separated either by a 2D or 3D projective transformation.
IIT(BHU)
3D Perception project for the Robotics Nanodegree Program
Detection of object motion with 2 cameras.
Image Processing and Vision project regarding objects' detection and tracking.
The Random Cluster Model for Robust Geometric Fitting
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