search query: @keyword 3D mallinnus / total: 4
reference: 3 / 4
« previous | next »
Author:Hollsten, Fredrik
Title:The effect of image quality on the reconstruction of 3D geometry from photographs
Bildkvalitetens inverkan på rekonstruering av 3D modeller från fotografier
Kuvanlaadun vaikutus 3D mallintamisessa valokuvista
Publication type:Master's thesis
Publication year:2013
Pages:ix + 101 s. + liitt. 9      Language:   eng
Department/School:Mediatekniikan laitos
Main subject:Viestintätekniikka   (AS3002)
Supervisor:Oittinen, Pirkko
Instructor:Kuhna, Mikko
Electronic version URL: http://urn.fi/URN:NBN:fi:aalto-201308247632
OEVS:
Electronic archive copy is available via Aalto Thesis Database.
Instructions

Reading digital theses in the closed network of the Aalto University Harald Herlin Learning Centre

In the closed network of Learning Centre you can read digital and digitized theses not available in the open network.

The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/

You can read theses on the Learning Centre customer computers, which are available on all floors.

Logging on to the customer computers

  • Aalto University staff members log on to the customer computer using the Aalto username and password.
  • Other customers log on using a shared username and password.

Opening a thesis

  • On the desktop of the customer computers, you will find an icon titled:

    Aalto Thesis Database

  • Click on the icon to search for and open the thesis you are looking for from Aaltodoc database. You can find the thesis file by clicking the link on the OEV or OEVS field.

Reading the thesis

  • You can either print the thesis or read it on the customer computer screen.
  • You cannot save the thesis file on a flash drive or email it.
  • You cannot copy text or images from the file.
  • You cannot edit the file.

Printing the thesis

  • You can print the thesis for your personal study or research use.
  • Aalto University students and staff members may print black-and-white prints on the PrintingPoint devices when using the computer with personal Aalto username and password. Color printing is possible using the printer u90203-psc3, which is located near the customer service. Color printing is subject to a charge to Aalto University students and staff members.
  • Other customers can use the printer u90203-psc3. All printing is subject to a charge to non-University members.
Location:P1 Ark Aalto  1799   | Archive
Keywords:3D reconstruction
SIFT
structure from motion
multiview stereo
image quality
3D mallinnus
kuvanlaatu
3D modellering
bildkvalitet
Abstract (eng):The thesis focuses on defining how image quality affects the outcome of 3D models in a reconstruction process based on photographs.
The aim of the study is to observe key image quality attributes in the context of image processing and determine a threshold for sufficient image quality for 3D reconstruction.
Seven scenes with varying geometrical forms and amount of detail were photographed for 3D reconstruction.
Three key image quality attributes were chosen for image quality simulation: noise, sharpness and JPG quality.
A total of 112 datasets were created by simulating low quality images with gradually increased noise levels, lowered sharpness and raised JPG compression ratio.
Scenes were reconstructed using an automatic Structure from Motion algorithm.
The numbers of 3D points in the reconstructed models were collected and results were expressed as the relative amount of points in the lowered quality images compared to the reference high quality datasets.
Figures for the quality settings where the amount of points had dropped to 50 % were calculated to indicate a threshold for sufficient reconstruction quality.
Results show that reconstruction of 3D geometry was successful in most cases even with severely lowered image quality.
The conclusion was that any modern consumer grade photographic equipment could be used to create 3D models from photographs.
However, image quality significantly affects the amount of 3D points in the reconstructed model.
Abstract (fin):Diplomityön aiheena on selvittä miten kuvanlaatu vaikuttaa valokuvista rakennetuiden 3D muotojen laatuun.
Työn päämääränä on tarkastella kuvanlaatuattribuutteja osana kuvankäsittelyä ja määritellä raja-arvo riittävälle kuvanlaadulle rekonstruktioprosessissa.
Seitsemän näkymää vaihtelevalla sisällöllä ja geometrisilla muodoilla valokuvattiin 3D rekonstruktiota varten.
Kuvanlaatusimulaatioon valittiin kolme keskeistä kuvanlaatuattribuuttia: kohina, terävyys ja JPG-pakkaus.
Yhteensä 112 kuvakokoelmaa luotiin korottamalla asteittain kohinaa, epäterävyyttä sekä JPG pakkaussuhdetta.
Näkymät mallinettiin automaattisella Structure from Motion ohjelmistolla. 3D mallien pistepilvet tallennettiin ja tulokset esitettiin pisteiden määränä suhteessa korkealaatuisten referenssikuvien 3D malleihin.
Kuvanlaatuattribuutin arvo jossa pisteiden määrä oli 50 % referenssistä, esitettiin raja-arvona riittävälle kuvanlaadulle.
Tulokset osoittavat että mallinnus onnistui useimmissa tapauksissa jopa voimakkaasti alennetulla kuvanlaadulla.
Johtopäätös on, että 3D mallinnus valokuvista on mahdollista suorittaa tavallisella kuluttajatason digitaalikameralla.
Kameran kuvanlaatu kuitenkin vaikuttaa oleellisesti mallin laatuun 3D pisteiden määrässä.
ED:2013-12-02
INSSI record number: 48018
+ add basket
« previous | next »
INSSI