Stylization of shadows in ski-panorama maps

Title

Stylization of shadows in ski-panorama maps: A case study on Atelier Novat

 Author

Hanagodimath, Anmol (TU Delft Electrical Engineering, Mathematics and Computer Science)

Contributor

Eisemann, Elmar (mentor)
Thollot, Joelle (mentor)
Vergne, Romain (mentor)
Guerra Marroquim, Ricardo (graduation committee)
van der Lubbe, J.C.A. (graduation committee)

Degree granting institution

Delft University of Technology

 Programme

Computer Science

 Date

2020-09-22

 Abstract

Panorama maps can be defined as aerial-view paintings of geologically complex landscapes that are represented in a convenient manner to non-expert viewers. This thesis focuses on a specific variant of panorama maps known as "ski-panorama maps" or "piste-maps" drawn by the french landscape and panorama artist, Pierre Novat. These maps usually contain a multitude of visual cues that are specifically emphasized upon by the artist in order to improve viewer perception. Among these visual cues, cast-shadows play an important role in recognizing the shape, depth and height of the terrain. Therefore, the main goal of this thesis is to understand the use of shading based on the underlying rule-sets created by the artist, Pierre Novat. Through these rule-sets, we propose two contributions : a brief study of the artistic style of Atelier Novat along with a rendering framework for shadow stylization. This framework is mainly based on image-space filters, that takes a set of DEM (Digital Elevated Model) files as input and produces an image that resembles a ski-panorama map. The pipeline deals with the following components : a novel method for stylized shading - a set of methods for modifying structural properties of cast-shadows (according to artist-driven rulesets) and a hue transfer-function. As a final step, validation of the rendered images is empirically done by cross-referencing it with the specific panorama art-work and by taking feedback from the artist, Arthur Novat.

 Subject

Computer Graphics
Expressive Rendering
Image Stylization

 To reference this document use:

http://resolver.tudelft.nl/uuid:5265a405-f9d6-42b8-a3e0-d9c13ed565d2

 Part of collection

Student theses

 Document type

master thesis

 Rights

© 2020 Anmol Hanagodimath
Files
PDF Thesis_report.pdf 40.94 MB
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