figure 12. Subtle line selection decisions by artists. the red
lines (solid boxes) in this composite (a) are unexplained at
80% precision, but can be characterized as geometric valleys.
however, the artists have omitted locally stronger valley
features (dotted boxes), as shown by the maximum curvature
of the model (b).
IIS-0511965, and CCF-0347427) and Google for funding to
support this project and the Aim@Shape, VAKHUN, and
Cyberware repositories for the models used in the study.
1. breiman, l. random forests. Mach.
Learn. 45, 1 (2001), 5–32.
2. Canny, j. a computational approach
to edge detection. IEEE Trans.
Pattern Anal. Mach. Intell. 8, 6 (1986),
3. Chen, X., golovinskiy, a., funkhouser,
t. a benchmark for 3d mesh
segmentation. In ACM SIGGRAPH
2009 Papers (new york, 2009), 1–12.
4. Cole, f., golovinskiy, a., limpaecher, a.,
barros, h. s., finkelstein, a., funkhouser,
t., rusinkiewicz, s. where do people draw
lines? ACM Trans. Graph. (Proceedings of
SIGGRAPH) 27, 3 (aug. 2008).
15. Martin, d., fowlkes, C., tal, d., Malik, j. a
database of human segmented natural
images and its application to evaluating
segmentation algorithms and measuring
ecological statistics. In Proceedings
of the Eighth IEEE International
Conference on Computer Vision,
2001. ICCV 2001 (2001), 416–423, vol. 2.
16. Meyer, s.e., avillez, M. How to Draw in
Pen and Ink. roundtable Press, new
17. ohtake, y., belyaev, a., seidel, h.-P..
ridge-valley lines on meshes via
implicit surface fitting. ACM Trans.
Graph. 23, 3 (2004).
18. Peck, s.r. Atlas of Human Anatomy
for the Artist. oxford university Press,
london, u.k., 1982.
19. Phillips, f., Casella, M.w., gaudino, b.M.
what can drawing tell us about our
mental representation of shape? J. Vis.
9, 5 (sept. 23, 2005), article 52.
20. r. R: A Language and Environment for
Statistical Computing. r foundation for
statistical Computing, vienna, austria,
21. ruskin, j.. The Elements of Drawing.
Elibron Classics, 1895.
22. russell, b., torralba, a., Murphy, k.,
freeman, w.. labelme: a database and
web-based tool for image annotation.
Int. J. Comp. Vis. 77, 1 (2008), 157–173.
23. smith, s. looking at line. In Complete
Guide to Drawing and Painting. r. d.
editors, ed., readers digest, 1997, 13.
24. witten, I.h., frank, e. Data Mining:
Practical Machine Learning Tools
and Techniques, 2nd edition. 2005.
25. yafray. YafRay 0.0.9: Yet Another Free
Raytracer. www.yafray.org, 2008.
Forrester Cole, Aleksey Golovinskiy, Alex Limpaecher, heather Stoddart Barros,
Adam Finkelstein, Thomas Funkhouser, and Szymon Rusinkiewicz, Princeton
university, Princeton, nj.
© 2012 aCM 0001-0782/12/01 $10.00
You’ve come a long way.
Share what you’ve learned.
ACM has partnered with MentorNet, the award-winning nonprofit e-mentoring network in engineering,
science and mathematics. MentorNet’s award-winning One-on-One Mentoring Programs pair ACM
student members with mentors from industry, government, higher education, and other sectors.
• Communicate by email about career goals, course work, and many other topics.
• Spend just 20 minutes a week - and make a huge difference in a student’s life.
• Take part in a lively online community of professionals and students all over the world.
Make a difference to a student in your field.
Sign up today at: www.mentornet.net
Find out more at: www.acm.org/mentornet
MentorNet’s sponsors include 3M Foundation, ACM, Alcoa Foundation, Agilent Technologies, Amylin Pharmaceuticals, Bechtel Group Foundation, Cisco
Systems, Hewlett-Packard Company, IBM Corporation, Intel Foundation, Lockheed Martin Space Systems, National Science Foundation, Naval Research
Laboratory, NVIDIA, Sandia National Laboratories, Schlumberger, S. D. Bechtel, Jr. Foundation, Texas Instruments, and The Henry Luce Foundation.