Style and Abstraction in Portrait Sketching

Project Members

Itamar Berger (Disney Research Pittsburgh)
Ariel Shamir (Disney Research Pittsburgh, The Interdisciplinary Center Herzliya)
Moshe Mahler (Disney Research Pittsburgh)
Elizabeth Carter (Disney Research Pittsburgh, Carnegie Mellon University)
Jessica Hodgins (Disney Research Boston, Disney Research Los Angeles, Disney Research Pittsburgh)

AbstractSketching_teaserImage

We use a data-driven approach to study both style and abstraction in sketching of a human face portrait. We gather and analyze data from a number of artists that sketch a human face from a reference photograph. To achieve different levels of abstraction in the sketches, decreasing time limits were imposed – from 4:5 minutes to 15 seconds. We analyzed the data at two levels: strokes and geometric shape. In each, we create a model that captures both the style of the different artists and the process of abstraction. These models are then used for a portrait sketch synthesis application. Starting from a novel face photograph, we can synthesize a sketch in the various artistic styles and in different levels of abstraction.

[Press Release]

 

Publications

Style and Abstraction in Portrait Sketching
July 21, 2014
Presented at ACM SIGGRAPH, July 21-25, 2013, Anaheim, CA
Paper File [pdf, 17.48 MB]

Copyright Notice

The documents contained in these directories are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.