BORIS Theses

BORIS Theses
Bern Open Repository and Information System

Computational Tools for Stereo and Light Field Photography

Donatsch, Daniel (2015). Computational Tools for Stereo and Light Field Photography. (Thesis). Universität Bern, Bern

main.pdf - Thesis
Available under License BORIS Theses Standard License.

Download (74MB) | Preview


This thesis covers a broad part of the field of computational photography, including video stabilization and image warping techniques, introductions to light field photography and the conversion of monocular images and videos into stereoscopic 3D content. We present a user assisted technique for stereoscopic 3D conversion from 2D images. Our approach exploits the geometric structure of perspective images including vanishing points. We allow a user to indicate lines, planes, and vanishing points in the input image, and directly employ these as guides of an image warp that produces a stereo image pair. Our method is most suitable for scenes with large scale structures such as buildings and is able to skip the step of constructing a depth map. Further, we propose a method to acquire 3D light fields using a hand-held camera, and describe several computational photography applications facilitated by our approach. As the input we take an image sequence from a camera translating along an approximately linear path with limited camera rotations. Users can acquire such data easily in a few seconds by moving a hand-held camera. We convert the input into a regularly sampled 3D light field by resampling and aligning them in the spatio-temporal domain. We also present a novel technique for high-quality disparity estimation from light fields. Finally, we show applications including digital refocusing and synthetic aperture blur, foreground removal, selective colorization, and others.

Item Type: Thesis
Dissertation Type: Single
Date of Defense: 2015
Subjects: 000 Computer science, knowledge & systems
Institute / Center: 08 Faculty of Science > Institute of Computer Science (INF) > Computer Graphics Group (CGG)
08 Faculty of Science > Institute of Computer Science (INF)
Depositing User: Admin importFromBoris
Date Deposited: 25 Jan 2019 12:58
Last Modified: 25 Jan 2019 12:58

Actions (login required)

View Item View Item