A Knowledge Based Approach to Modeling Portrait Painting Methodology
Inhaltsverzeichnis
Reference
Steve DiPaola: A Knowledge Based Approach to Modeling Portrait Painting Methodology. In: Proc. Electronic Visualisation and the Arts, 10 pages, London, 2007.
DOI
Abstract
Traditional portrait artists use a specific but open human vision methodology to create a painterly portrait of a live or photographed sitter. Portrait artists attempt to simplify, compose and leave out what’s irrelevant, emphasizing what’s important. While seemingly a qualitative pursuit, artists use known but open techniques such as relying on source tone over colour to indirect into a colour temperature model, using "sharpness" to create a centre of interest, using edges to move the viewers gaze, and other techniques to filter and emphasize. Our interdisciplinary work attempts to compile and incorporate this portrait painter knowledge into a multi-space parameterized system that can create an array of painterly rendering output.
Extended Abstract
Bibtex
Used References
HAEBERLI, P: Paint by numbers: abstract image representations. In Proc. ACM SIGGRAPH, 1990.
LITWINOWICZ, P: Processing images and video for an impressionist effect. In Proc. ACM SIGGRAPH, 1997.
HERTZMANN, A: Painterly Rendering with Curved Brush Strokes of Multiple Sizes. In Proc. ACM SIGGRAPH, 1998.
HERTZMANN, A: Algorithms for Rendering in Artistic Styles. PhD thesis. New York University. 2002.
HERTZMANN, A: A Survey of Stroke-Based Rendering. IEEE Computer Graphics & Applications, Special Issue on NPR. July/August, 2003.
GOOCH B, COOMBE G and SHIRLEY P:, Artistic Vision: Painterly Rendering Using Computer Vision Technologies. Proc. Int'l Symp. NPAR. 2002.
DECARLO D and SANTELLA A: Abstracted painterly renderings using eye- tracking data. In Proc. ACM SIGGRAPH, 769.776, 2002.
HAYS J and ESSA I: Image and Video based Painterly Animation. In Proc. 3rd ACM Sympos. on NPAR, 2004.
COLLOMOSSE J and HALL P: Painterly Rendering using Image Salience. In Proceedings 20th Eurographics pp. 122-128. 2002.
DU BUF J, RODRIGUES J, NUNES S, ...: Painterly Rendering Using Human Vision. Virtual - Portuguese Journal of Computer Graphics, July 2006.
DIPAOLA S, FaceSpace: A Facial Spatial-Domain Toolkit. In Proc. IEEE Information Visualization, London, 2002.
ARYA A and DIPAOLA S: Multi-Space Behavioral Model for Face-based Affective Social Agents. Inter. Journal of Image and Video Processing, 2007.
DIPAOLA S, AKAI C and KRAUS B: Experiencing Belugas: Developing an Action Selection-Based Aquarium Interactive. Journal: Adaptive Behavior, 2007.
DIPAOLA S: Painterly Rendered Portraits from Photographs using a Knowledge- Based Approach. In Proc: SPIE Human Vision and Imaging, Int. Society for Optical Engineering, Keynote paper. 2007.
COLAHAN C (ed.): Max Meldrum: His Art and Views. Alexander McCubbin, Melbourne, 1919.
Links
Full Text
http://ivizlab.sfu.ca/media/DiPaola_EVA07.pdf
Sonstige Links
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.2686
