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Title:Image editing and interaction tools for visual expression
Author(s):Liao, Zicheng
Director of Research:Forsyth, David A.
Doctoral Committee Chair(s):Forsyth, David A.
Doctoral Committee Member(s):Hoppe, Hugues; Hart, John C.; Hoiem, Derek W.; Lazebnik, Svetlana
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(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
Issue Date:2014-05-30
Rights Information:Copyright 2014 Zicheng Liao
Date Available in IDEALS:2014-05-30
Date Deposited:2014-05

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