graduation thesis
Janja Avbelj (Author), Krištof Oštir (Mentor), Dušan Kogoj (Thesis defence commission member), Mojca Kosmatin Fras (Thesis defence commission member), Uwe Stilla (Co-mentor)

Abstract

Co-registration of tree-dimensional building models with image features from infrared video sequences

Keywords

graduation thesis;geodesy;3d building model;infrared radiation;image processing;image registration;feature extraction;image sequences;matching;

Data

Language: English
Year of publishing:
Source: Ljubljana
Typology: 2.11 - Undergraduate Thesis
Organization: UL FGG - Faculty of Civil and Geodetic Engineering
Publisher: [J. Avbelj]
UDC: 528.7/.8(043.2)
COBISS: 5143137 Link will open in a new window
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Downloads: 748
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Other data

Secondary language: Slovenian
Secondary title: Koregistracija trirazsežnih modelov stavb z grafičnimi gradniki zaznanimi z infrardečih aero videoposnetkov
Secondary abstract: In the European Union (EU) countries buildings consume 40% of the energy and cause 36% of CO2 emissions. The thermal information of facades and roofs are important for building inspection and energy saving. Texturing the existing three-dimensional (3D) building models with infrared (IR) images enriches the model database and enables analysis of energy loss of buildings. The main purpose of the presented thesis is to investigate methods for automatic extraction of the IR textures for roofs and facades of the existing building model. The correction of the exterior orientation parameters of the IR camera mounted on mobile platform is studied. The developed method bases on a point-to-point matching of the features extracted from IR images with a wire frame building model. Firstly, extraction of different feature types is studied on a sample IR image; Förstner and intersection points are chosen for representation of the image features. Secondly, the 3D building model is projected into each frame of the IR video sequence using orientation parameters; only coarse exterior orientation parameters are known. Then the automatic co-registration of a 3D building model projection into the image sequence with image features is carried out. The matching of a model and extracted features is applied iteratively and exterior orientation parameters are adjusted with least square adjustment. The method is tested on a dataset of dense urban area. Finally, an evaluation of developed method is presented with five
Secondary keywords: geodezija;diplomska dela;UNI;3D modeli stavb;infrardeč spekter;digitalna obdelava podob;registracija podob;videoposnetki;fotogrametrija;
File type: application/pdf
Type (COBISS): Undergraduate thesis
Thesis comment: Univ. Ljubljana, Fak. za gradbeništvo in geodezijo
Pages: XXX, 127 str.
Type (ePrints): thesis
Title (ePrints): Co-registration of three-dimensional building models with image features from infrared video sequences
Keywords (ePrints): 3D modeli stavb;infrardeč� spekter;digitalna obdelava podob;registracija podob;videoposnetki;fotogrametrija
Keywords (ePrints, secondary language): 3D building model;infrared radiation;image processing;image registration;feature extraction;photogrammetry;image sequences;matching
Abstract (ePrints): V državah Evropske unije (EU) porabijo zgradbe 40 % energije in povzročijo 36 % vseh emisij CO2. Podatki o temperaturi fasad in streh so pomembni pri določitvi temperaturne učinkovitosti zgradb, s čimer omogočajo prihranek energije. Teksturiranje obstoječega trirazsežnega (3D) modela stavb z infrardečimi (IR) posnetki dopolni podatkovno bazo modela zgradb in omogoči analize njihovih energetskih izgub. Namen raziskovalne naloge je samodejna določitev tekstur streh in fasad stavb obstoječega trirazsežnega (3D) modela z IR posnetkov. Za to je potrebno izboljšanje natančnosti parametrov zunanje orientacije IR kamere pritrjene na mobilno platformo. Razvita metoda temelji na ujemanju točk samodejno (avtomatsko) zaznanih grafičnih gradnikov z IR videoposnetka in žičnega modela stavb. V nalogi smo najprej proučili zaznavo različnih tipov grafičnih gradnikov na testnem IR posnetku. Förstnerjeve in presečiščne točke smo izbrali kot primerne grafične gradnike za predstavitev obravnavanih značilnosti stavb na IR posnetku. 3D model stavb je projiciran na vsak posamezen posnetek videosekvence ob upoštevanju orientacijskih parametrov, od katerih so parametri zunanje orientacije podani le s približnimi vrednostmi. Nato smo izvedli samodejno koregistracijo 3D modela stavb projiciranega na videoposnetek in grafičnih gradnikov zaznanih z istega IR videoposnetka. V iterativnem postopku samodejnega ujemanja 3D modela stavb in zaznanih grafičnih gradnikov smo parametre zunanje orientacije izravnali z metodo najmanjših kvadratov. Razvito metodologijo za koregistracijo in izravnavo zunanjih orientacijskih parametrov smo preizkusili na strnjenem poseljenem območju. Kvaliteto metodologije smo ocenili s petimi parametri: učinkovitostjo metodologije, ter popolnostjo in pravilnostjo algoritmov za ujemanje in zaznavo grafičnih gradnikov.
Abstract (ePrints, secondary language): In the European Union (EU) countries buildings consume 40% of the energy and cause 36% of CO2 emissions. The thermal information of facades and roofs are important for building inspection and energy saving. Texturing the existing three-dimensional (3D) building models with infrared (IR) images enriches the model database and enables analysis of energy loss of buildings. The main purpose of the presented thesis is to investigate methods for automatic extraction of the IR textures for roofs and facades of the existing building model. The correction of the exterior orientation parameters of the IR camera mounted on mobile platform is studied. The developed method bases on a point-to-point matching of the features extracted from IR images with a wire frame building model. Firstly, extraction of different feature types is studied on a sample IR image; Förstner and intersection points are chosen for representation of the image features. Secondly, the 3D building model is projected into each frame of the IR video sequence using orientation parameters; only coarse exterior orientation parameters are known. Then the automatic co-registration of a 3D building model projection into the image sequence with image features is carried out. The matching of a model and extracted features is applied iteratively and exterior orientation parameters are adjusted with least square adjustment. The method is tested on a dataset of dense urban area. Finally, an evaluation of developed method is presented with five
Keywords (ePrints, secondary language): 3D building model;infrared radiation;image processing;image registration;feature extraction;photogrammetry;image sequences;matching
ID: 8309832