Master thesis done in Computer Vision Group of Technical University of Munich. Supervisors are Dr. Yvain Queau and Prof. Daniel Cremers.

Photometric Stereo toolkit

The toolbox to run and evaluate reconstruction algorithms

This is a project on photometric stereo reconstruction based on a dense set of images acquired from an object that is observed by a fixed camera under different illumination.

A replication of paper "Dense Stereo Photometric Stereo Using a Mirror Sphere and Graph Cut".

A MATLAB Implementation of the Basic Photometric Stereo Algorithm

In this paper, we implement a standard photometric stereo algorithm. With the albedo being unknown and not constant for the images, this program takes multiple images and light source direction information as an input and produce the albedo map, surface normals map, heights map and 3d plot of the surface for provided input. All the images used i…

Source code for our paper "Depth Super-Resolution Meets Uncalibrated Photometric Stereo"

This is the project page for our ICCVW 2017 paper 'Deep photometric stereo network' by Hiroaki Santo, Masaki Samejima, Yusuke Sugano, Boxin Shi, and Yasuyuki Matsushita.

Robust Photometric Stereo

Photometric Stereo via Discrete Hypothesis-and-Test Search (CVPR 2020)

Term project. A python implementation of the Basic Photometric Stereo Algorithm

Export Docker Image of working-pipeline for my photogrammetric reconstruction on a server

This repository contains my assignment solutions for the Introduction to Computer Vision course (430.711A_001) offered by Seoul National University (Spring 2018).

wip basic node graph system for photometric stereo