3D modeling with data-driven suggestions

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Abstract/Contents

Abstract
Creating detailed three-dimensional shapes on the computer is hard. The standard tools for the task are complex and require long training and familiarization. As a result, 3D modeling is typically the domain of the professional artist and not the casual user. Professionals invest the time to master their tools, but such tools are usually restricted to low-level sculpting operations. High-level reasoning and geometric manipulation, of which computers are well capable, are not used to help the artist reach her goals more efficiently or creatively. In this dissertation, I propose techniques by which computers, endowed with a greater understanding of the structure of shapes, can both support the creative pursuits of professionals, as well as significantly ease the burden of 3D modeling for the casual user. To this end, I describe methods for generating "suggestions" during the 3D modeling process: component shapes that may be directly used to augment the currently-modeled shape, or to inspire directions for its further development. These suggestions are drawn from a large library of previously-modeled shapes. Also, I discuss the construction of an assembly-based modeling tool that enables casual users to rapidly construct shapes from suggested components, with minimal training. Experiments with both professional and casual users suggest that this approach successfully supports rapid, creative 3D modeling.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2011
Issuance monographic
Language English

Creators/Contributors

Associated with Chaudhuri, Siddhartha
Associated with Stanford University, Computer Science Department
Primary advisor Koltun, Vladlen, 1980-
Thesis advisor Koltun, Vladlen, 1980-
Thesis advisor Guibas, Leonidas J
Thesis advisor Levoy, Marc
Advisor Guibas, Leonidas J
Advisor Levoy, Marc

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Siddhartha Chaudhuri.
Note Submitted to the Department of Computer Science.
Thesis Ph.D. Stanford University 2011
Location electronic resource

Access conditions

Copyright
© 2011 by Siddhartha Chaudhuri
License
This work is licensed under a Creative Commons Attribution Non Commercial No Derivatives 3.0 Unported license (CC BY-NC-ND).

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