Implementation of mixed reality tracking algorithms on mobile clients

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School of Electrical Engineering | Master's thesis
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Date

2010

Department

Signaalinkäsittelyn ja akustiikan laitos

Major/Subject

Signaalinkäsittelytekniikka

Mcode

S-88

Degree programme

Language

en

Pages

viii + 85 s. + liitt. 51

Series

Abstract

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.

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Supervisor

Richter, Andreas

Thesis advisor

Kähäri, Markus

Keywords

mixed reality, augmented reality, natural marker, recognition, tracking, visual gyroscope, mobile, rotation invariant fast feature

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Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-2020122357929

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[dipl] Sähkötekniikan korkeakoulu / ELEC