<div>In this thesis, we investigate methods for texture synthesis and texture re-rendering of indoor room scene images. The goal is to create a photorealistic redesign of interior spaces by replacing surface finishes with a new product based on a single room scene image. Specically, we focus on automating this process to reduce manual input while enabling high-quality and easy-to-use experience. The most common method of rendering textures into a scene is called texture mapping. Texture mapping involves mapping pixels in a texture sample to vertices in an object model. Typically, a large texture sample is required to perform texture mapping properly. Given a small texture sample, texture synthesis creates a large sized texture that appears to have</div><div>been made by the same underlying process. In the first part of this thesis, we present a method of texture synthesis that automatically determines a set of parameters to produce satisfactory results based on the texture types. The next challenge is to create a photorealistic re-rendering of the synthesized texture in the room scene image. 3D scene information such as geometry, lighting and reflectance is crucial to making the re-rendered image realistic. These properties contribute to the image formation process and must be estimated to create a scene-consistent modication. Knowing these parameters allows effects like highlights, shadows and inter-object reflections to be maintained during the re-rendering process. We detail methods for estimating</div><div>these parameters from a single indoor image. Finally, we will show a web-based implementation of these methods using the WebGL library ThreeJS.</div>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/7498895 |
| Date | 03 January 2019 |
| Creators | Kyle J. Ziga (5930963) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/Texture_Synthesis_and_Photorealistic_Re-rendering_of_Room_Scene_Images/7498895 |
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