Pinned Repositories
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2D-3D-Point-Set-Registration-Based-on-Global-Rotation-Search
# 2D-3D Point Set Registration Based on Global Rotation Search # Copyright (C) 2018 Yinlong Liu@outlook.com # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # Any publications resulting from the use of this code should cite the # following paper: # Yinlong Liu, Yuan Dong, Zhijian Song and Manning Wang, "2D 3D Point Set Registration Based on Global Rotation_Search", IEEE Transactions on Image Processing (TIP) # # #==================Note================= # #1. First step->open demo_rot.m. It is a demo of Rotation Search in SO(3) for 2D-3D point set registration. # #2. The input data is set to a real circumstance that 3D point set is far away for projection plane, and in front of camera. Our method also can be applied to unusual condition that camera is surrounded by 3D point set, only if you make some fix. # #3. RotaionSearch.m is the kernel of algorithm. You can easily extend it to SE(3) searching by grid-search, while tuning parameters depends on your tasks. # #4. Fast and Global 2D-3D point set registration without correspondence is still an open problem and need further explorations. I am very happy that if you could benefit from our code. # # # Author: Yinlong Liu # Date: 20181218 # Revision: 1.0
bert4keras
keras implement of transformers for humans
blockChain
DDcGAN
DDcGAN: A Dual-discriminator Conditional Generative Adversarial Network for Multi-resolution Image Fusion / Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Fully_Unsupervised_CNN_Registration_Keras
Fully unsupervised 2D/3D image registration with ConvNet.
FusionGAN
FusionGAN: A generative adversarial network for infrared and visible image fusion
globalign
Fast global mutual inforrmation-based rigid alignment
tproduct
tensor-tensor product toolbox
Spikeisacowboy's Repositories
Spikeisacowboy/tproduct
tensor-tensor product toolbox
Spikeisacowboy/-
Spikeisacowboy/2D-3D-Point-Set-Registration-Based-on-Global-Rotation-Search
# 2D-3D Point Set Registration Based on Global Rotation Search # Copyright (C) 2018 Yinlong Liu@outlook.com # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # Any publications resulting from the use of this code should cite the # following paper: # Yinlong Liu, Yuan Dong, Zhijian Song and Manning Wang, "2D 3D Point Set Registration Based on Global Rotation_Search", IEEE Transactions on Image Processing (TIP) # # #==================Note================= # #1. First step->open demo_rot.m. It is a demo of Rotation Search in SO(3) for 2D-3D point set registration. # #2. The input data is set to a real circumstance that 3D point set is far away for projection plane, and in front of camera. Our method also can be applied to unusual condition that camera is surrounded by 3D point set, only if you make some fix. # #3. RotaionSearch.m is the kernel of algorithm. You can easily extend it to SE(3) searching by grid-search, while tuning parameters depends on your tasks. # #4. Fast and Global 2D-3D point set registration without correspondence is still an open problem and need further explorations. I am very happy that if you could benefit from our code. # # # Author: Yinlong Liu # Date: 20181218 # Revision: 1.0
Spikeisacowboy/bert4keras
keras implement of transformers for humans
Spikeisacowboy/blockChain
Spikeisacowboy/DDcGAN
DDcGAN: A Dual-discriminator Conditional Generative Adversarial Network for Multi-resolution Image Fusion / Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators
Spikeisacowboy/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Spikeisacowboy/Fully_Unsupervised_CNN_Registration_Keras
Fully unsupervised 2D/3D image registration with ConvNet.
Spikeisacowboy/FusionGAN
FusionGAN: A generative adversarial network for infrared and visible image fusion
Spikeisacowboy/globalign
Fast global mutual inforrmation-based rigid alignment
Spikeisacowboy/HipHop_2D3Dregistration
2D/3D registration between CT/MRI or STL models and X-ray images (November 2018)
Spikeisacowboy/image-fusion-evaluation
a series of widely-used mertrics for image fusion area
Spikeisacowboy/image-fusion-zoo
all you need in image fusion area
Spikeisacowboy/image_registration
Python implementation of 2d and 3d image registration
Spikeisacowboy/ImageFusion
Spikeisacowboy/ImageFusion-1
Spikeisacowboy/imagefusion_dllrr
multi-focus image fusion using dictionary learning and low-rank representation(ICIG 2017, Shanghai)
Spikeisacowboy/imagefusion_resnet50
Infrared and Visible Image Fusion with ResNet and zero-phase component analysis.(Journal of Infrared Physics & Technology 2019)
Spikeisacowboy/MSID-KBS
This is the Matlab code of paper "Fast Infrared and Visible Image Fusion with Structural Decomposition, Knowledge-Based Systems (KBS), 2020"
Spikeisacowboy/Multi-focus-Image-Fusion-with-Multi-scale-Focus-Measures
Multi-focus Image Fusion based on Multi-scale Focus Measures and Generalized Random Walk
Spikeisacowboy/PSO-EM
PSO-EM algorithm for 3D-to-2D registration (pose estimation)
Spikeisacowboy/registration
Algorithms for 2D/3D image registration
Spikeisacowboy/Resource-Of-Wechate
个人公众微信号上的资源
Spikeisacowboy/Source-code-of-medical-image-fusion-in-NSCT-domain
Source Code of Article "A Phase Congruency and Local Laplacian Energy Based Multi-Modality Medical Image Fusion Method in NSCT Domain"
Spikeisacowboy/Spikeyoo
Nothing to say
Spikeisacowboy/Tensor-Robust-Principal-Component-Analysis-TRPCA
Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
Spikeisacowboy/VTKLearning
This is a simple VTK learning following Doling