Parallel cameras

Calibration of Parallel Multi-View Cameras

This paper focuses on the calibration problem of a multi-view shooting system designed for the production of 3D content for auto-stereoscopic visualization. The considered multiview camera is characterized by coplanar and decentered image sensors regarding to the corresponding optical axis. Based on the Faugéras and Toscani’s calibration approach, a calibration method is herein proposed for the...

A Low-Rank Constraint for Parallel Stereo Cameras

Stereo-camera systems enjoy wide popularity since they provide more restrictive constraints for 3d-reconstruction. Given an image sequence taken by parallel stereo cameras, a low-rank constraint is derived on the measurement data. Correspondences between left and right images are not necessary yet reduce the number of optimization parameters. Conversely, traditional algorithms for stereo factor...

Unconstrained Two-parallel-plane Model for Focused Plenoptic Cameras Calibration

The plenoptic camera can capture both angular and spatial information of the rays, enabling 3D reconstruction by single exposure. The geometry of the recovered scene structure is affected by the calibration of the plenoptic camera significantly. In this paper, we propose a novel unconstrained two-parallel-plane (TPP) model with 7 parameters to describe a 4D light field. By reconstructing scene ...

Plenoptic Cameras

Computational Cameras

COMPUTATIONAL CAMERAS At Columbia University’s Computer Vision Laboratory, we have developed several types of computational cameras. As the “Related Research” sidebar describes, several research groups around the world are working on the development of computational cameras and related technologies. Imaging can be viewed as having several dimensions, including spatial resolution, temporal resol...