A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images
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Updated
Dec 9, 2017 - C++
A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images
Pytorch implementation of PCN
Invariant representation learning from imaging and spectral data
The official source codes for the riconv++ (IJCV2022) paper
[AAAI 2023] Rethinking Rotation Invariance with Point Cloud Registration (official pytorch implementation) https://rotation3d.github.io/
Simple and Effective Face Detector, based on Progressive Calibration Networks (PCN) which is an accurate rotation-invariant face detector running at real-time speed on CPU, published in CVPR 2018.
Implementations of PCN face detection is ported to iOS using caffe. PCN (caffe version) is get from: https://github.com/Jack-CV/FaceKit
3D Teeth Scan Segmentation via Rotation-Invariant Descriptor
[MedIA] Dermoscopic image retrieval based on rotation-invariance deep hashing
This is the code for the master thesis on building rotation invariant representation for protein design pipeline
clusters similar images and searches disoriented images and matches it with original image.
Rotation invariant neural network feature point matching.
Crystallography-inspired uniform deterministic grids on SO(3)
Rotation-invariant template matching for OpenCV: dense gradient-orientation correlation with coarse-to-fine pose search. C++17, CPU, multi-instance and absence detection.
Rotation-Invariant Multi-IMU Activity Recognition under Independent Per-Location Orientation Shifts
Repo for my third year dissertation - Wavelet Scattering Networks for unsupervised galaxy morphology anaylsis
Rotation-invariant texture classification using Local Binary Patterns (LBP) with multi-resolution analysis and variance descriptors.
计算机视觉综合实验:在 Brodatz16(16 类纹理×10 旋转角度)上实现 LBP 及变体(u2/ri/riu2)与完整 CLBP(符号S+幅值M+中心C)三路编码,结合多分辨率(8,1)+(16,2)+(16,3)串联、类原型平均分类与卡方距离,按角度十折协议取得 99.46% 准确率(基线 66.88%,+32.58pp)。MATLAB 实现,含 10 配置消融与 21 页 LaTeX 设计报告。
High-performance, real-time rotation-invariant face recognition using OpenCV & face_recognition.
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