Image editing and interaction tools for visual expression

Liao, Zicheng

Permalink

https://hdl.handle.net/2142/49519 Copy

Description

Title

Image editing and interaction tools for visual expression

Author(s)

Liao, Zicheng

Issue Date

2014-05-30T16:48:08Z

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

Forsyth, David A.

Doctoral Committee Chair(s)

Forsyth, David A.

Committee Member(s)

• Hoppe, Hugues
• Hart, John C.
• Hoiem, Derek W.
• Lazebnik, Svetlana

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)

• Visual modeling
• computational photography
• image editing and interaction

Abstract

Digital photography is becoming extremely common in our daily life. However, images are difficult to edit and interact with. From a user's perspective, it is important to interact freely with the images on his/her smartphone or ipad. In this thesis we develop several image editing and interaction systems with this idea in mind. We aim for creating visual models with pre-computed internal structures such that interaction is readily supported. We demonstrate that such interactable models, driven by a user's hand, can render powerful visual expressiveness, and make static pixel arrays much more fun to play with. The first system harnesses the editing power of vector graphics. We convert raster images into a vector representation using Loop's subdivision surfaces. An image is represented by a multi-resolution feature-preserving sparse control mesh, with which image editing can be done at semantic level. A user can easily put a smile on a face image, or adjust the level of scene abstractness through a simple slider. The second system allows one to insert an object from image into a new scene. The key is to correct the shading on the object such that it goes consistently with the scene. Unlike traditional approach, we use a simple shape to capture gross shading effects and a set of shading detail images to account for visual complexities. The high-frequency nature of these detail images allows a moderate range of interactive composition effects without causing alarming visual artifacts. The third system is on video clips instead of a single image. We proposed a fully automated algorithm to create

Graduation Semester

2014-05

Permalink

http://hdl.handle.net/2142/49519

Copyright and License Information

Copyright 2014 Zicheng Liao

Owning Collections