Style and Abstraction in Portrait Sketching
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 Los Angeles, Disney Research Pittsburgh)
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.