Conference 5–9 August 2012
Exhibition 7–9 August 2012
Los Angeles Convention Center


Technical Papers


Monday, 6 August 3:45 PM - 5:35 PM | Los Angeles Convention Center, Room 408A
Session Chair: Eitan Grinspun, Columbia University

Three-Dimensional Proxies for Hand-Drawn Characters

Algorithms for finding proxies at three levels of detail (points, shapes, joint hierarchy). The proxies allow simulated cloth and other objects to interact with a 2D hand-drawn character.

Eakta Jain
Carnegie Mellon University

Yaser Sheikh
Carnegie Mellon University

Moshe Mahler
Carnegie Mellon University and Disney Research Pittsburgh

Jessica Hodgins
Carnegie Mellon University and Disney Research Pittsburgh

How Do Humans Sketch Objects?

This paper analyzes how well humans and computers are able to discern rough sketches of everyday objects. Based on the analysis, the paper develops a computational model of sketch understanding and demonstrates an interactive sketch-recognition system.

Mathias Eitz
Technischen Universität Berlin

James Hays
Brown University

Marc Alexa
Technischen Universität Berlin

CrossShade: Shading Concept Sketches Using Cross-Section Curves

This paper facilitates creation of 3D-looking shaded production drawings from concept sketches. The method uses artist-drawn cross-sectional curves to automatically infer 3D normals across the drawn objects and uses this normal field to shade a wide range of concept sketches with a variety of rendering styles.

Cloud Shao
University of Toronto

Adrien Bousseau
REVES/INRIA Sophia Antipolis

Alla Sheffer
The University of British Columbia

Karan Singh
University of Toronto

Learning Hatching for Pen-and-Ink Illustration of Surfaces

An algorithm that learns the hatching style from an input pen-and-ink illustration of a 3D shape. The algorithm is used to synthesize new line illustrations in a similar style.

Evangelos Kalogerakis
Stanford University

Derek Nowrouzezahrai
Université de Montréal

Simon Breslav
Autodesk Research

Aaron Hertzmann
University of Toronto

HelpingHand: Example-Based Stroke Stylization

This paper presents an example-based approach for users of low-quality input devices to synthesize 6D hand gestures like those of an artist on a high-quality tablet.

Jingwan Lu
Princeton University

Fisher Yu
Princeton University

Adam Finkelstein
Princeton University

Stephen DiVerdi
Adobe Systems Incorporated