Style and Abstraction in Portrait Sketching
Itamar Berger (Disney Research Pittsburgh)
Ariel Shamir (The Interdisciplinary Center Herzliya, Disney Research Pittsburgh)
Moshe Mahler (Disney Research Pittsburgh)
Elizabeth Carter (Disney Research Pittsburgh, Carnegie Mellon University)
Jessica Hodgins (Disney Research Los Angeles, Disney Research Pittsburgh)
ACM SIGGRAPH 2013
July 22, 2013
We use a data-driven approach to study both style and abstraction in sketching of a human face. We gather and analyze data from a number of artists as they sketch a human face from a reference photograph. To achieve different levels of abstraction in the sketches, decreasing time limits were imposed from four and a half minutes to fifteen 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.
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