Style and abstraction in portrait sketching

  • Authors:
  • Itamar Berger;Ariel Shamir;Moshe Mahler;Elizabeth Carter;Jessica Hodgins

  • Affiliations:
  • The Interdisciplinary Center Herzliya and Disney Research Pittsburgh;The Interdisciplinary Center Herzliya and Disney Research Pittsburgh;Disney Research Pittsburgh;Disney Research Pittsburgh and Carnegie Mellon University;Disney Research Pittsburgh and Carnegie Mellon University

  • Venue:
  • ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.