search query: @supervisor Richter, Andreas / total: 3
reference: 3 / 3
« previous | next »
Author: | Salonen, Olli Aleksi |
Title: | Implementation of mixed reality tracking algorithms on mobile clients |
Publication type: | Master's thesis |
Publication year: | 2010 |
Pages: | viii + 85 s. + liitt. 51 Language: eng |
Department/School: | Signaalinkäsittelyn ja akustiikan laitos |
Main subject: | Signaalinkäsittelytekniikka (S-88) |
Supervisor: | Richter, Andreas |
Instructor: | Kähäri, Markus |
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 CentreIn 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
Opening a thesis
Reading the thesis
Printing the thesis
|
Location: | P1 Ark Aalto 1384 | Archive |
Keywords: | mixed reality augmented reality natural marker recognition tracking visual gyroscope mobile rotation invariant fast feature |
Abstract (eng): | This thesis documents the design and implementation of two mixed reality tracking components: a gyroscope and a natural marker tracker. Both use RIFF (Rotation Invariant Fast Feature) descriptors for their object recognition needs. The Visual Gyroscope tracks the orientation of a mobile phone based on frames from its camera. The Natural Marker Tracker library is capable of creating, recognizing and tracking arbitrary markers. In both cases, a successful real-time implementation was created for an N900. The Natural Marker Tracker, however, would still require some work in order to be able to calculate 3D marker projections as it currently is only capable of calculating a 2D affine transformation. |
ED: | 2011-03-10 |
INSSI record number: 41573
+ add basket
« previous | next »
INSSI