#计算机科学#Image augmentation for machine learning experiments.
A Tensorflow implementation of Spatial Transformer Networks.
A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.
#计算机科学#[CVPR2020] Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
Mathematics library focused on geometry for Multiplatform Kotlin 1.3
数字图像课程大作业，实现图片中文档提取与矫正。整体思路是通过hough变换检测出直线，进而得到角点，最后经过投影变换，进行矫正。整个项目只用到了opencv的IO操作(包括手写卷积，hough哈夫变换，投影变换等等)
Utils and convenience functions for large-scale bio-image analysis.
torch data augmentation toolbox (supports affine transform)
Stitching different perspective images into a single smooth panorama using Laplacian Blending.
This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.
Affine transformation virtual 3D object using a finger gesture-based interactive system in the virtual environment.
Implementation of Lucas Kanade Tracking system using six parameter affine model and recursive Gauss-Newton process.
Implementation of OpenCV methods for affine and perspective transformation
Implementation of Lucas-Kanade tracker algorithm to track a moving car, face of a baby and running Usain Bolt
Coding computer vision related algorithms from "scratch".
This is a software utility for feature matching using affine and homography transformations