Abstract
We
present a non-photorealistic rendering approach to capture
and convey shape features of real-world scenes. We use a
camera with multiple flashes that are strategically
positioned to cast shadows along depth discontinuities in
the scene. The projective geometric relationship of the
camera-flash setup is then exploited to detect depth
discontinuities and distinguish them from intensity edges
due to material discontinuities.
We
introduce depiction methods that utilize the detected edge
features to generate stylized static and animated images.
We can highlight the detected features, suppress
unnecessary details or combine features from multiple
images. The resulting images more clearly convey the 3D
structure of the imaged scene.
In
SIGGRAPH 2004. Also accepted for SIGGRAPH Emerging
Technology. /a short version at SIGGRAPH 2003 Technical Sketch and the paper can be
found here.
See also a video
demo of our method.
Our
technique can also be used to assist finger-spelling, as
is shown in our recent paper.
R.
Raskar, K. Tan, R. S. Feris, J. Kobler, J. Yu and M. Turk. Harnessing Real-World Depth Edges with Multi-Flash
Imaging. To appear, IEEE Computer Graphics and
Applications (CG&A), 2005.
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Computer Graphics Laboratory 
