Painterly Rendered Portraits from Photographs using a Knowledge-Based Approach

Aus de_evolutionary_art_org
Version vom 19. Januar 2015, 21:42 Uhr von Gbachelier (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „ == Reference == Steve DiPaola: Painterly Rendered Portraits from Photographs using a Knowledge-Based Approach. In Proc: SPIE Human Vision and Imaging…“)

(Unterschied) ← Nächstältere Version | Aktuelle Version (Unterschied) | Nächstjüngere Version → (Unterschied)
Wechseln zu: Navigation, Suche


Steve DiPaola: Painterly Rendered Portraits from Photographs using a Knowledge-Based Approach. In Proc: SPIE Human Vision and Imaging, Int. Society for Optical Engineering, Keynote paper. pp 33-43, 2007.



Portrait artists using oils, acrylics or pastels use a specific but open human vision methodology to create a painterly portrait of a live sitter. When they must use a photograph as source, artists augment their process, since photographs have: different focusing - everything is in focus or focused in vertical planes; value clumping - the camera darkens the shadows and lightens the bright areas; as well as color and perspective distortion. In general, artistic methodology attempts the following: from the photograph, the painting must 'simplify, compose and leave out what's irrelevant, emphasizing what's important'. While seemingly a qualitative goal, artists use known techniques such as relying on source tone over color to indirect into a semantic color temperature model, use brush and tonal "sharpness" to create a center of interest, lost and found edges to move the viewers gaze through the image towards the center of interest as well as other techniques to filter and emphasize. Our work attempts to create a knowledge domain of the portrait painter process and incorporate this knowledge into a multi-space parameterized system that can create an array of NPR painterly rendering output by analyzing the photographic-based input which informs the semantic knowledge rules.

Extended Abstract


Used References

P. Haeberli, Paint by numbers: abstract image representations. In Proc. ACM SIGGRAPH, 1990.

P. Litwinowicz, Processing images and video for an impressionist effect. In Proc. ACM SIGGRAPH, 1997.

A. Hertzmann, Painterly Rendering with Curved Brush Strokes of Multiple Sizes, In Proc. ACM SIGGRAPH, 1998.

A. Hertzmann, Algorithms for Rendering in Artistic Styles, PhD thesis. New York University. 2002.

A. Hertzmann. A Survey of Stroke-Based Rendering, IEEE Computer Graphics & Applications, Special Issue on Non- Photorealistic Rendering. July/August, 2003.

A. Hertzmann, Algorithms for Rendering in Artistic Styles, PhD thesis. New York University. 2002.

B. Gooch and A. Gooch, Non-Photorealistic Rendering. A.K. Peters Ltd., 2001.

B. Gooch, G. Coombe and P. Shirley, Artistic Vision: Painterly Rendering Using Computer Vision Technologies, Proc. Int'l Symp. Nonphotorealistic Animation and Rendering, 2002

V. Setlur and B. Gooch, Is That a Smile? Gaze-Dependent Facial Expressions, Non-Photorealistic Animation and Rendering 2004 (NPAR '04).

D. Decarlo and A. Santella, Abstracted painterly renderings using eye-tracking data, In Proc. ACM SIGGRAPH, 769.776, 2002.

A. Santella and D. Decarlo, Visual interest and NPR: an evaluation and manifesto, In Proc. 3rd ACM Sympos. on NPAR, 71.78. 2004.

J. P. Collomosse and P. M. Hall. Painterly Rendering using Image Salience, In Proceedings 20th Eurographics UK Conference, pp. 122-128. Eurographics. Leicester. Eurographics. (June 2002).

J. P. Collomosse and P. M. Hall. Salience-adaptive Painterly Rendering using Genetic Search, Intl. Journal on Artificial Intelligence Tools (IJAIT), 15(4) pp.551-576. World Scientific. ISSN: 0218-2130. (August 2006).

M. Shugrina, M. Betke and J. P. Collomosse. Empathic Painting: Interactive stylization using observed emotional state, Non Photorealistic Animation and Rendering (NPAR). pp. 87-96. ACM Press. (June 2006).

J. Hays and I Essa, Image and Video based Painterly Animation, In Proc. 3rd ACM Sympos. on NPAR, 2004.

H. Kang, C. Chui, U. Chakraborty, A Unified Scheme for Adaptive Stroke-based Rendering, The Visual Computer, Vol. 22, No. 8, pp. 814-824, 2006.

J. du Buf, J. Rodrigues, S. Nunes, D. Almeida, V. Brito, and J. Carvalho, Painterly Rendering Using Human Vision, Virtual - Portuguese Journal of Computer Graphics, July 2006.

R. Lam, J. Rodrigues and J. du Buf, Looking through the eyes of the painter: from visual perception to non- photorealistic rendering, Proc. 14th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2006.

S. DiPaola, FaceSpace: A Facial Spatial-Domain Toolkit, In Proc. IEEE Information Visualization, London, 2002.

A. Arya, S. DiPaola, Multi-Space Behavioral Model for Face-based Affective Social Agents, International Journal of Image and Video Processing, Special Issue on Facial Image Processing, 2007.

S. DiPaola, C. Akai and B. Kraus, Experiencing Belugas: Developing an Action Selection-Based Aquarium Interactive, Journal of Adaptive Behavior, Special Issue on Action Selection, 2007.

C. Colahan (ed.), Max Meldrum: His Art and Views, Alexander McCubbin, Melbourne, 1919.

C. Saper, Painting Beautiful Skin Tones with Color & Light in Oil, Pastel & Watercolor, North Light, 2001.


Full Text

intern file

Sonstige Links