Compressive Dual Photography

by Adriana Schulz

Overview

Dual photography is a technique that enables the interchange of cameras and light sources of a scene, therefore allowing us to take pictures from the point of view of the projector. A fundamental aspect in the implementation of this technique is measurement of the light transport function, a typically large data set. In this work we implement the technique proposed by Sean at al. [1] that uses Compressive Sensing [3] to efficiently acquire the light transport function.

Results

image image image
Image Relighting: image of size 128x128, captured with 1500 patterns.
image image

Primal image.

Dual image.

Image of size 128x128, captured with 1500 patterns.
image image image

Primal image.

Image relighting.

Dual image.

Image of size 128x128, captured with 1500 patterns.

Documents

Acknowledgements

This project was elaborated under the supervision of Professor Luiz Velho and the TA Thiago Pereira.

References

[1] Pradeep Sen and Soheil Darabi. Compressive Dual Photography. Computer Graphics Forum, 28(2):609-618, 2009.

[2] Pradeep Sen, Billy Chen, Gaurav Garg, Stephen R. Marschner, Mark Horowitz, Marc Levoy, and Hendrik Lensch. Dual Photography. ACM Transactions on Graphics, 24(3):745-755, 2005.

[3] Emmanuel Candes, Justin Romberg, and Terence Tao. Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information. IEEE Trans. on Information Theory, 52(2), February 2006.