Technical Papers
Sketching
Monday, 6 August 3:45 PM - 5:35 PM | Los Angeles Convention Center, Room 408A
Session Chair: Eitan Grinspun, Columbia University
Conference 5–9 August 2012
Exhibition 7–9 August 2012
Los Angeles Convention Center
Monday, 6 August 3:45 PM - 5:35 PM | Los Angeles Convention Center, Room 408A
Session Chair: Eitan Grinspun, Columbia University
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
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
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
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
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