Please use this identifier to cite or link to this item:
Title: Multi-view depth estimation
Authors: BROUWERS, Stijn
Advisors: BEKAERT, P.
Issue Date: 2007
Abstract: It is often desired to have a digital representation of a real world scene. One approach to retrieve digital information about a scene is to capture images from it by means of digital cameras. The problem with this method is that only a two dimensional representation of the three dimensional scene is available and limits us to completely reconstruct it. The problem that is being solved by multi-view depth estimation algorithms is the problem of retrieving information about the third dimension, depth. When the depth estimation for each pixel is correct we can digitally reconstruct the scene in three dimensions. Depth estimation algorithms can work on different input parameters. Some algorithms use only images from one point-of-view while other algorithms use captured data from different viewpoints. In this thesis three different types of algorithms will be discussed. First a depth from defocus algorithm is presented that uses images from only one pointof view. This is followed by explaining the general design of stereo view depth estimation algorithms and their input and output data. Later in the thesis an implementation of both types is described. The last type of algorithm that is discussed uses images from more than two different viewpoints to derive depth for pixels in the reference images.
Notes: Master in de Informatica - Multimedia
Document URI:
Category: T2
Type: Theses and Dissertations
Appears in Collections:Master theses

Files in This Item:
File Description SizeFormat 
brouwers.pdf2.83 MBAdobe PDFView/Open
Show full item record

Page view(s)

checked on May 24, 2022


checked on May 24, 2022

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.