This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Harnessing Real-World Depth Edges with Multiflash Imaging
January/February 2005 (vol. 25 no. 1)
pp. 32-38
Ramesh Raskar, Mitsubishi Electric Research Labs
Kar-Han Tan, Epson Palo Alto Lab
Rogerio S. Feris, University of California, Santa Barbara
Matthew Turk, University of California, Santa Barbara
James Kobler, Harvard Medical School
Jingyi Yu, Massachusetts Institute of Technology
A method for capturing geometric features of real-world scenes relies on a simple modification of the capture setup: A multiflash camera is used with flashes strategically positioned to cast shadows along depth discontinuities in the scene, allowing efficient and accurate shape extraction. The entire hardware and software setup can be conceivably packaged into a self-contained device, no larger than existing digital cameras.

1. K.-H. Tan et al., "Shape-Enhanced Surgical Visualizations and Medical Illustrations with Multi-Flash Imaging," Proc. Int'l Conf. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer-Verlag, 2004, pp. 438-445.
2. R. Raskar et al., "Non-photorealistic Camera: Automatic Stylization with Multi-Flash Imaging," Proc. Siggraph, ACM Press, 2004, pp. 679-688.
3. R. Feris et al., "Exploiting Depth Discontinuities for Vision-Based Fingerspelling Recognition," Proc. IEEE Workshop Real-Time Vision for Human-Computer Interaction, vol. 10, IEEE CS Press, 2004.
4. D. Scharstein and R. Szeliski, "High-Accuracy Stereo Depth Maps Using Structured Light," Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), vol. 1, IEEE CS Press 2003, pp. 195-202.
5. D. DeCarlo and A. Santella, "Stylization and Abstraction of Photographs," Proc. Siggraph, ACM Press, 2002, pp. 769-776.
6. J. Wang et al., "Video Tooning," Proc. Siggraph, ACM Press, 2004, pp. 574-583.
7. T. Saito and T. Takahashi, "Comprehensible Rendering of 3D-Shapes," Proc. Siggraph, ACM Press, 1990, pp. 197-206.
8. M. Mueller et al., "Three-Dimensional Laparoscopy. Gadget or Progress? A Randomized Trial on the Efficacy of Three-Dimensional Laparoscopy," Surgical Endoscopy , vol. 13, Springer-Verlag, 1999, pp. 1432-2218.
9. D. Rosen et al., "Calibrated Sizing System for Flexible Laryngeal Endoscopy," Proc. 6th Int'l Workshop: Advances in Quantitative Laryngology Advances in Quantitative Laryngology, Voice and Speech Research, G. Schade et al., eds., Verlag, 2003.
10. E.R.S. Hodges, The Guild Handbook of Natural History Illustration, John Wiley & Sons, 2003.
11. S. Belongie, J. Malik, and J. Puzicha, "Shape Matching and Object Recognition Using Shape Contexts," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 4, 2002, pp. 509-522.
12. J. Rebollar, R. Lindeman, and N. Kyriakopoulos, "A Multi-Class Pattern Recognition System for Practical Fingerspelling Translation," Proc. Int'l Conf. Multimodal Interfaces, IEEE CS Press, 2002, p. 185.

Index Terms:
depth edges, nonphotorealistic rendering, medical imaging, object recognition
Citation:
Ramesh Raskar, Kar-Han Tan, Rogerio S. Feris, Matthew Turk, James Kobler, Jingyi Yu, "Harnessing Real-World Depth Edges with Multiflash Imaging," IEEE Computer Graphics and Applications, vol. 25, no. 1, pp. 32-38, Jan.-Feb. 2005, doi:10.1109/MCG.2005.10
Usage of this product signifies your acceptance of the Terms of Use.