Implementation of multiple image stitching
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Updated
Sep 30, 2020 - Python
Implementation of multiple image stitching
The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf
Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
An implementation of automatic panorama using OpenCV in C++ and Python
Given a number of input images, concatenate all images to produce a panoramic image using invariant features.
《立体视觉入门指南》 代码, c++ code for StereoV3D course
Modular Tracking Framework
Interactive code for image similarity using SIFT algorithm
A generic pipeline to align multimodal image pairs from different sensors by extending Lucas-Kanade on feature maps. CVPR2021
Infinitesimal Plane-based Pose Estimation (IPPE): A very fast method to compute a camera's pose from a view of a planar object
C++ 2D geometry library, handles points, lines, polylines, planar transformations (and other primitives), using homogeneous coordinates. Provided with complete manual and samples.
Cool Vision projects
Official Implementation of "Tracking Grow-Finish Pigs Across Large Pens Using Multiple Cameras"
Image Mosaicing or Panorama Creation
A pkg stiching around view images(4-6cameras) to generate bird's eye view.
Stitching different perspective images into a single smooth panorama using Laplacian Blending.
The C++ implementation of Multi-H algorithm, which is a multi-plane fitting technique. If you use this work for Academic purposes, please cite Barath, D. and Matas, J. and Hajder, L., Multi-H: Efficient Recovery of Tangent Planes in Stereo Images. 27th British Machine Vision Conference, 2016
Code Repo of 'Rethinking Planar Homography Estimation Using Perspective Fields'
Image Stitching algorithm in Python from scratch with gain compensation and blending
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