Visualization of Large Graphic Data

This thesis solves visualization of large, specific and specialized graphic data used in science field like point clouds, heat-map on objects in scene or harmonic functions on hemisphere. The work uses the Python language for rendering scenes and the GLSL language for the implementation of heat maps and harmonic functions. The final program can render scenes from Mitsuba renderer with thousands of points in real-time. Heatmaps have 2 types of rendering and that are per pixel and per vertex on objects. Harmonic functions have different quality options for performance control. The main benefit is easier scene analysis thanks to visualization of large data of specific type in real time