Style and Abstraction in Portrait Sketching

Itamar Berger 1,2
Ariel Shamir 1,2
Moshe Mahler 2
Elizabeth Carter 2,3
Jessica Hodgins 2,3

1 The Interdisciplinary Center Herzliya
2 Disney Research Pittsburgh
3 Carnegie Mellon University

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]

PortraitSketch_thumbnailStyle and Abstraction in Portrait Sketching
Itamar Berger, Ariel Shamir, Moshe Mahler, Elizabeth Carter, Jessica Hodgins
Presented at ACM SIGGRAPH, July 21-25, 2013, Anaheim, CA
Paper[PDF, 18.3MB] – Data Set-Sketches[ZIP file, 71.5MB] – Data Set-Raw Sketches[ZIP file, 213.7MB]

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