Real Time Light Field Reconstruction for Subpixel Based Integral Imaging Display

In this paper, we advance the traditional Integral Imaging display with an efficient sub-pixel based light field reconstruction scheme to achieve 3D imagery with much higher spatial resolution in real-time speed.

Enhua Wu, University of Macau & SKLCS/IOS, Chinese Academy of Sciences

Shaohui Jiao, Intel China Research Center

Wen Wu, University of Macau

Haitao Wang, Samsung Research Center-Beijing, Samsung Advanced Institute of Technology China Lab

Mingcai Zhu, Samsung Research Center-Beijing, Samsung Advanced Institute of Technology China Lab

Tao Hong, Samsung Research Center-Beijing, Samsung Advanced Institute of Technology China Lab

Xun Sun, Samsung Research Center-Beijing, Samsung Advanced Institute of Technology China Lab

Underwater Reconstruction Using Depth Sensors

Depth images of underwater surfaces were acquired with four sensors. We found out that only the Kinect is able to acquire depth images of underwater surfaces. We compared the reconstructed underwater mesh with its surface reconstruction over the water. These findings show that underwater reconstruction using depth sensors is possible.

Alexandru Dancu, Chalmers University Of Technology

Mickaël Fourgeaud, Chalmers University Of Technology

Zlatko Franjcic, Chalmers University Of Technology

Razmik Avetisyan, Rostock University

When Does the Hidden Butterfly Not Flicker?

This paper presents user studies that demonstrate the ~60Hz CFF rate for traditional displays is not enough for some computational displays that show complex image patterns. The study has been focused on displays with hidden channels, and their application to 3D+2D TV.

Jing Liu, University of California, Santa Cruz

Soja Morgans, University of California, Santa Cruz

Robert Sumner, University of California, Santa Cruz

Yu Zhang, Nanjing University

Luke Buschmann, University of California, Santa Cruz

James Davis, University of California, Santa Cruz