Inverse rendering techniques for physically grounded image editing

Karsch, Kevin

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https://hdl.handle.net/2142/78327 Copy

Description

Title

Inverse rendering techniques for physically grounded image editing

Author(s)

Karsch, Kevin

Issue Date

2015-03-10

Director of Research (if dissertation) or Advisor (if thesis)

Forsyth, David A.

Doctoral Committee Chair(s)

Forsyth, David A.

Committee Member(s)

• Hoiem, Derek W.
• Hart, John
• Kang, Sing Bing

Department of Study

Computer Science

Discipline

Computer Science

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Keyword(s)

• image editing
• scene understanding
• inverse rendering

Abstract

"From a single picture of a scene, people can typically grasp the spatial layout immediately and even make good guesses at materials properties and where light is coming from to illuminate the scene. For example, we can reliably tell which objects occlude others, what an object is made of and its rough shape, regions that are illuminated or in shadow, and so on. It is interesting how little is known about our ability to make these determinations; as such, we are still not able to robustly ""teach"" computers to make the same high-level observations as people. This document presents algorithms for understanding intrinsic scene properties from single images. The goal of these inverse rendering techniques is to estimate the configurations of scene elements (geometry, materials, luminaires, camera parameters, etc) using only information visible in an image. Such algorithms have applications in robotics and computer graphics. One such application is in physically grounded image editing: photo editing made easier by leveraging knowledge of the physical space. These applications allow sophisticated editing operations to be performed in a matter of seconds, enabling seamless addition, removal, or relocation of objects in images."

Graduation Semester

2015-5

Type of Resource

text

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http://hdl.handle.net/2142/78327

Copyright and License Information

Copyright 2015 Kevin Karsch

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