Drawing tool recognition by stroke ending analysis

Maria C. Vill; Robert Sablatnig

doi:10.1117/12.765912

29 February 2008 Drawing tool recognition by stroke ending analysis

Maria C. Vill, Robert Sablatnig

Proceedings Volume 6810, Computer Image Analysis in the Study of Art; 68100B (2008) https://doi.org/10.1117/12.765912
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

The aim of our work is the development of image analysis tools and methods for the investigation of drawings and drawn drafts in order to investigate the authorship, to identify copies or more general to allow for a comparison of different types of drawings. It was and is common for artists to draw their design as several drafts on paper. These drawings can show how some elements were adjusted until the artist was satisfied with the composition. Therefore it can bring insights into the practice of artists and painting and/or drawing schools. This information is useful for art historians, because it can relate artists to each other. The goal of this paper is to describe a stroke classification algorithm which can recognize the drawing tool based on the shape of the endings of an open stroke. In this context, "open" means that both endings of a stroke are free-standing, uncovered and do not pass into another stroke. These endings are prominent features whose shape carries information about the drawing tool and are therefore used as features to distinguish different drawing tools. Our results show that it is possible to use these endings as input a drawing tool classificator.

Citation Download Citation

Maria C. Vill and Robert Sablatnig "Drawing tool recognition by stroke ending analysis", Proc. SPIE 6810, Computer Image Analysis in the Study of Art, 68100B (29 February 2008); https://doi.org/10.1117/12.765912

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available