JiaxueLi's repositories
awesome-image-alignment-and-stitching
A curated list of awesome resources for image alignment and stitching ...
GMS-Feature-Matcher
C++ code for "GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence"
awesome-local-global-descriptor
My personal note about local and global descriptor
caffe
Caffe: a fast open framework for deep learning.
CS231n-2017
Completed the CS231n 2017 spring assignments from Stanford university
fucking-algorithm
手把手撕LeetCode题目,扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
Hyperspectral-Images-Stitching
Automatic Stitching for Hyperspectral Images Using Robust Feature Matching and Elastic Warp
Image-Stitching
Leveraging Line-point Consistence to Preserve Structures for Wide Parallax Image Stitching
image_mosaic_stitching
Implemented a pipeline for 2D image mosaic and stitching. Feature extraction & matching, Adaptive Non-Maximal Suppression (ANMS), geometric blur, RANSAC
learned-correspondence-release
Code release for "learning to find good correspondences" CVPR 2018
learning_minimal
Learning to Solve Hard Minimal Problems
leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
low_rank_alignment
Code for the AAAI 2015 paper "Aligning Mixed Manifolds"
NISwGSP
C++ implementation of the ECCV 2016 paper, Natural Image Stitching with the Global Similarity Prior.
panorama
some papers of panorama, I will add some codes in the follow up process
README
README文件语法解读,即Github Flavored Markdown语法介绍
Robust_Elastic_Warping
source codes for Parallax-Tolerant Image Stitching Based on Robust Elastic Warping
Single-perspective-warps
Our code for the paper "Single-Perspective Warps in Natural Image Stitching"
SparseCodingProject
Today we have Instagram, Facebook, Tumblr, Snapchat as the most used social networking sites and apps. Most of these are image based social networks. Due to the advent of such sites the raw data available for image processing has increased substantially. Now we have millions of images that are readily available. A hard problem that has received considerable attention is the batch alignment problem of images. Here you take multiple batches of images and align them to a fixed canonical template. This problem becomes harder to solve when we consider the difference in illumination, partial occlusion (presence of sunglasses, hats etc.) between the images of the same object. We implemented Robust Alignment by Sparse and Low-Rank Decomposition and simplified this challenging optimization problem into a sequence of convex programs with guaranteed fast convergence by applying the most efficient sequence of image-based transformations to breakdown the image matrix as a cumulation of a sparse matrix of errors plus a low-rank matrix of retrieved alignments. We will verify the efficacy of the proposed algorithm with extensive experiments with datasets
SPHP_Image_Stitching
描述支持中文
tfmatch
TensorFlow implementation of GeoDesc (ECCV'18), ContextDesc (CVPR'19) and ASLFeat (CVPR'20)
VideoStitching
the implementation of APAP and AANAP algorithm.