Basic Point Cloud Viewer

Purpose.

The main purpose of this personal project was to provide an educational and skill challenge in C++, to myself.

References.

The Point Cloud dataset shown in the images, was provided in the website: Semantic 3D

This Project.

A basic point cloud viewer, made with C++11 and powered by modern OpenGL, is capable of loading and generate a visualization from small to large point cloud datasets, also is able to highlight points with colors (RGB).

What was used.

This project used:

C++11: Base programming language.
Modern OpengGL: Base graphics rendering API.
GLSL 330 Core: Version 330 of OpenGL Shading Language.
GLEW: Wrapper.
GLFW: Window context and input provider.
GLM: OpenGL Mathematics, usefull for transformations and matrix manipulation.

How to use.

A normalized dataset containing x,y,z coordinates is required and if desirable, colors in r,g,b format and it's intensities if possible, between float numbers [-1,1].
You must indicate the path with filename of the input file in the Dataset_Utils.cpp file, after it just compile.
For now only rotation around the generated point cloud is supported, by pressing in the keyboard the keys 'A', 'D', 'W', 'S', 'Q' and 'E'.
Reset to the initial view, by pressing 'T'.

TODO List

Implement variable zoom.
Implement free camera movement.
Intensity reader.
Abstraction into classes.
Implement built-in dataset normalizator.
Camera with movement driven by mouse.
Grid in the canvas.
User friendly data input UI.
Implement viewport imgui interface.