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Image-Based Stereoscopic Stylization
Efstathios Stavrakis, Michael Bleyer, Danijela Markovic, Margrit Gelautz.
IEEE International Conference on Image Processing, Vol. III, pp. 5-8, Genova, Italy, September,
2005. [BibTeX]
[PDF] [403.05KB]
Stereo-based Image and Video Analysis for Multimedia Applications
Author(s): Margrit Gelautz, Efstathios Stavrakis, Michael Bleyer.
Proceedings: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences (XXth ISPRS Congress), Vol. 35, Geo-Imagery Bridging Continents, pp. 998--1003,
2004.
Download: [PDF] [2.04MB]
[BibTeX] 
Abstract:
In this paper we utilize stereo images and video frames of real scenes to automatically generate artistic stereoscopic views with a
hand-painted appearance ("painterly rendering"). The approach is motivated by contemporary artists who painted stereo image pairs
on canvases. Although a variety of monoscopic painterly rendering algorithms have been proposed in the literature, the design of
painterly rendering algorithms suited to stereo views of real scenes presents a largely unexplored field.
In our approach, we use stereo analysis to generate a disparity map which is then employed by the stereoscopic rendering algorithm
to preserve coherence between the brush strokes of the two stereo views. The painting of the occluded regions is incorporated as a
separate step into the rendering procedure. We utilize the disparity map to prevent paint spilling between surfaces located at
different depths. Stereoscopic viewing of the stereo paintings produced by our algorithm demonstrates that the aesthetic impression
resulting from the hand-painted appearance of the individual images has been enhanced with an additional perception of depth.