Generalized Image Acquisition and Analysis

Computational Plenoptic Imaging

The plenoptic function is a ray-based model for light that includes the color spectrum as well as spatial, temporal, and directional variation. Although digital light sensors have greatly evolved in the last years, one fundamental limitation remains: all standard CCD and CMOS sensors integrate over the dimensions of the plenoptic function as they convert photons into electrons; in the process, all visual information is irreversibly lost, except for a two-dimensional, spatially-varying subset - the common photograph. In this state of the art report, we review approaches that optically encode the dimensions of the plenpotic function transcending those captured by traditional photography and reconstruct the recorded information computationally.

Projects

Three-Dimensional Kaleidoscopic Imaging

Ivo Ihrke, Ilya Reshetouski, Alkhazur Manakov, Hans-Peter Seidel
Computational Optical Sensing and Imaging (COSI) 2012



Abstract

Planar mirror systems are capable of generating many virtual views, yet their practical use for multi-view imaging has been hindered by limiting configurations that enable view decomposition. In this work we lift those restrictions.
Project Page

Bibtex

@inproceedings{Ihrke:12,
author = {Ivo Ihrke and Ilya Reshetouski and Alkhazur Manakov and Hans-Peter Seidel},
booktitle = {Computational Optical Sensing and Imaging},
journal = {Computational Optical Sensing and Imaging},
pages = {CTu4B.8},
publisher = {Optical Society of America},
title = {Three-Dimensional Kaleidoscopic Imaging},
year = {2012},
}
Go to project list