Multi-Flash Cameras

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.

		Mobile-Based Multi-Flash System Xinqing Guo, Zhan Yu and Jingyi Yu
		Non-photorealistic Camera: Stylized Rendering Using Multi-Flash Cameras Ramesh Raskar, Kahan Tan, Rogerio Feris, Jingyi Yu and Mathew Turk ACM SIGGRAPH 2004
		Harnessing Real-World Depth Edges with Multi-Flash Imaging R. Raskar, K. Tan, R. S. Feris, J. Kobler, J. Yu and M. Turk In Proceedings of IEEE Computer Graphics and Applications (CG&A), 2005
		Object Category Classification Using Occluding Contours Jin Sun, Christopher Thorpe, Nianhua Xie, Jingyi Yu, and Haibin Ling In Proceedings of International Symposium on Visual Computing (ISVC), 2010. Oral Presentation
		Robust Tracking and Stereo Matching under Varying Illuminations Jingdan Zhang, Leonard McMillan, and Jingyi Yu In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2006)
		Enhancing Context in Images and Video Adrian Ilie, Ramesh Raskar and Jingyi Yu In Proceedings International Journal Pattern Recognition Artificial Intelligence (IJPRAI), Volume 19, Number 4, 2005 Video Demo
		Image Fusion for Context Enhancement Ramesh Raskar, Adrian Ilie and Jingyi Yu the 3rd International Symposium on Non-Photorealistic Animation and Rendering (NPAR) 2004, Annecy, France Video Demo

Multi-Flash/Multi-spectrum Cameras