• 🚀 I want to contribute to expanding humanity's potential.
• 👁️ I'm good at computer vision related algorithms and machine learning.
• ❤️ The programming language I often use are C++, Python and C.
• 😎 Lately I've been interested in NeRF and 3DGS.
• 💬 Media(LinkedIn, Medium, YouTube)

Repositories of personal development and related articles I wrote.

Implementation of 3D computer vision

• Implementing Self-Calibration for Perspective Camera
• Convert Equirectangular Image to Cubemap Image
• Python Implementation of Ellipse Fitting
• Algorithm to Decompose Camera Matrix
• Euclidean Upgrading in Self-Calibration for Perspective Camera
• Calculate the Intersection of Ellipses
• Implementation of 3D Reconstruction of a Plane Surface
• Implementation of Planar Triangulation
• Implementation of Projective Transformation
• Python Implementation of Triangulation
• Python Implementation of the Fundamental Matrix Calculation
• Converting the Coordinates on the Equirectangular Image to 3D Coordinates on a Sphere

Implemention of 3D rotation

• Estimate Rotation Matrix from Corresponding Point Cloud
• Calculate Rotation Matrix from 2points

Implementing a simple diffusion model from scratch

• Implementation of Diffusion Model
• Derivation of Training Loss in Diffusion Model

Building vision transformer from scratch

• Explanation of Vision Transformer with implementation

Building a multilayer perceptron from scratch

• Building a Multi Layer Perceptron from Scratch

Implementation of pattern recognition and machine learning

• Implementation of Noise Reduction Using Graphical Model
• Implementing Gaussian Process Regression
• Fitting Trigonometric Functions Using the Nadaraya-Watson Model
• Implementing Mixture Density Network(MDN) Using Pytorch
• Understanding the Tanh Function as an Activation Function
• Implementation of Stochastic Generative Model
• Implementing Fisher’s Linear Discriminant
• Hyperparameter Estimation Using Evidence Approximation
• Plotting Equivalent Kernel
• Plotting Predicted Distribution of Bayesian Linear Regression Model
• Plotting the Distribution of Parameters in Bayesian Linear Regression
• Plotting Relationship between Bias and Variance
• Plotting Basis Functions
• Plotting Polynomial Curve Fitting
• Plotting Mixture of Gaussians
• Plotting von Mises Distribution
• Plotting Student’s t-distribusion
• Bayesian Inference for the Mean of a Gaussian Distribution with Known Mean
• Bayesian Inference for the Mean of a Gaussian Distribution with Known Variance
• Plotting Conditional Gaussian Distribution
• Plotting Gaussian Distribution
• Plotting Probability Distributions for Binary and Multivalued Variables

Implementation of common spatial pattern algorithm(CSP)

• Theory and Implementation of CSP(Common Spatial Pattern) Algorithm

Befriend logistic regression

Simple linear regression

• Implementation of Linear Regression Algorithms

Simple planetary impact simulation using OpenGL and cuda. Video on YouTube is here.

• Simple Planetary Impact Simulation using OpenGL and Cuda

Particle system accelerated by cuda. Video on YouTube is here.

• Particle System Accelerated by Cuda

Shaders for complex object rendering

• Implementation of Mandelbox
• Implementation of Julia Set and Mandelbrot Set

Minecraft-like voxel engine using procedural generation

• Create a Minecraft-like Voxel Engine Using Procedural Generation

Reproducing human movements using hierarchical modeling and matrix stack manipulation

• Reproducing Human Movements Using Hierarchical Modeling and Matrix Stack Manipulation

Building a raycasting game from scratch

Random terrain using perlin noise

• Create Random 3D Terrain by Using Perline Noise

The representation in 3D of a landscape

Befriend with OpenGL

Basic GPU rendering with OpenGL

Mastering Optimization

• Implementation of Simplex Method
• Implementing Class Classification by Unsupervised Learning
• Python Implementation of Levenberg–Marquardt Algorithm
• Python Implementation of Gauss Newton Method
• Python Implementation of Newton’s Method
• Python Implementation of Gradient Method

C++ STL container

As beautiful as a shell

Web server like Nginx

High speed darknet running on ROS

I love 42Tokyo.

I have developed image recognition algorithms for automation and remote reinforcement inspection.

• Pixie Dust Technologies Announces the Joint Development of Rebar Inspection System

I developed object detection and object tracking algorithms for automated security robots.

• Autonomous Mobile Security Robot from CSP Central Security Patrols Secures Security Sites with the Power of the Jetson AGX Xavier (NVIDIA Japan Blog)