Novel approach to 3D thermography and energy efficiency evaluation

Abstract This paper describes a new approach to multi-sensor registration of infrared images and 3D-laser scanner models, based on the extraction of common features in the IR image and the range image obtained from a laser-scanner 3D-point cloud. The workflow developed in this paper allows the automatic registration of two different sensors with completely different characteristics, including fields of view, spatial resolution and spatial position. As a result of the workflow, thermographic and geometric data are combined in a thermographic 3D-model and its projection as an orthothermogram, where thermal defects can be visually detected and precisely located, and heat losses can be quantified given the availability of surface measurements. This approach is applied to different types of constructions and building materials, showing its efficiency and appropriateness for building inspection and energy studies.

[1]  T. Luhmann,et al.  GEOMETRIC CALIBRATION OF THERMOGRAPHIC CAMERAS , 2013 .

[2]  Diego González Aguilera,et al.  SV3DVISION: DIDACTICAL PHOTOGRAMMETRIC SOFTWARE FOR SINGLE IMAGE-BASED MODELING , 2006 .

[3]  Rachid Deriche,et al.  A Robust Technique for Matching two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry , 1995, Artif. Intell..

[4]  Charles R. Schwarz,et al.  Blunder Detection and Data Snooping in LS and Robust Adjustments , 1993 .

[5]  Pedro Arias,et al.  Multidisciplinary approach to the assessment of historic structures based on the case of a masonry bridge in Galicia (Spain) , 2011 .

[6]  Marjorie Musy,et al.  A 3D GIS for managing building rehabilitation process , 2004 .

[7]  Young Han Kim,et al.  Detection of Simulated Defect Using IR Temperature Sensors and One Point Heating , 2008, Sensors.

[8]  D. Shepard A two-dimensional interpolation function for irregularly-spaced data , 1968, ACM National Conference.

[9]  Elisa Franzoni,et al.  An operative protocol for reliable measurements of moisture in porous materials of ancient buildings , 2006 .

[10]  Christopher G. Harris,et al.  A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.

[11]  Osama Moselhi,et al.  Integrating 3D laser scanning and photogrammetry for progress measurement of construction work , 2008 .

[12]  J. Armesto,et al.  Energy efficiency studies through 3D laser scanning and thermographic technologies , 2011 .

[13]  Ioan Sârbu,et al.  Effects analysis of building thermal rehabilitation , 2011 .

[14]  Frank P. Incropera,et al.  Fundamentals of Heat and Mass Transfer , 1981 .

[15]  Elisabetta Rosina,et al.  Using Infrared Thermography to Detect Moisture in Historic Masonry: A Case Study in Indiana , 2003 .

[16]  Pedro Arias,et al.  Terrestrial laser scanning and limit analysis of masonry arch bridges , 2011 .

[17]  C. Brenner Building reconstruction from images and laser scanning , 2005 .

[18]  A. Gruen ADAPTIVE LEAST SQUARES CORRELATION: A POWERFUL IMAGE MATCHING TECHNIQUE , 1985 .

[19]  Constantinos A. Balaras,et al.  Infrared thermography for building diagnostics , 2002 .

[20]  Joon Hee Han,et al.  Contour Matching Using Epipolar Geometry , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  Sami Siikanen,et al.  Improvement of energy efficiency: the use of thermography and air-tightness test in verification of thermal performance of school buildings , 2011, Defense + Commercial Sensing.

[22]  Ermanno G. Grinzato,et al.  Quantitative infrared thermography in buildings , 1998 .

[23]  Richa Singh,et al.  Integrated multilevel image fusion and match score fusion of visible and infrared face images for robust face recognition , 2008, Pattern Recognit..

[24]  Chieh-Hou Yang,et al.  Delineating Underground Structures Using Geoelectrical Methods And 3-D Laser Scanning Technology At Tai-Pen Bay, Taiwan , 2006 .

[25]  P. Arias,et al.  Terrestrial laser scanning used to determine the geometry of a granite boulder for stability analysis purposes , 2009 .

[26]  Elisabetta Rosina,et al.  Mapping Infrared Data on Terrestrial Laser Scanning 3D Models of Buildings , 2011, Remote. Sens..

[27]  Kim Bjarne Wittchen,et al.  Calculation of building heating demand in EPIQR , 2000 .