Image-based construction of building energy models using computer vision

Improving existing buildings' energy performance requires energy models that accurately represent the building. Computer vision methods, particularly image-based 3D reconstruction, can effectively support the creation of 3D building models. In this paper, we present an image-based 3D reconstruc...

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Bibliographic Details
Published in:Automation in construction 2020-08, Vol.116, p.103231, Article 103231
Main Authors: Dino, Ipek Gursel, Sari, Alp Eren, Iseri, Orcun Koral, Akin, Sahin, Kalfaoglu, Esat, Erdogan, Bilge, Kalkan, Sinan, Alatan, A. Aydin
Format: Article
Language:English
Subjects:
3D modeling
3D reconstruction
Building energy modeling
Buildings
Computer simulation
Computer vision
Construction
External walls
Ground truth
Image quality
Image reconstruction
Infrared imaging
Performance measurement
Thermography
Three dimensional models
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Summary:Improving existing buildings' energy performance requires energy models that accurately represent the building. Computer vision methods, particularly image-based 3D reconstruction, can effectively support the creation of 3D building models. In this paper, we present an image-based 3D reconstruction pipeline that supports the semi-automated modeling of existing buildings. We developed two methods for the robust estimation of the building planes from a 3D point cloud that (i) independently estimate each plane and (ii) impose a perpendicularity constraint to plane estimation. We also estimate external walls' thermal transmittance values using an infrared thermography-based method, with the surface temperatures measured by a thermal camera. We validate our approach (i) by testing the pipeline's ability in constructing accurate surface models subject to different image sets with varying sizes and levels of image quality, and (ii) through a comparative analysis between the calculated energy performance metrics of a ground truth and calculated energy simulation model. •Image-based 3D reconstruction pipeline for semi-automated building energy modeling•A thermography-based method implemented to calculate actual thermal resistance•Two methods proposed for plane segmentation of 3D point clouds•Comparative analyses conducted with different sets of images in a classroom•Constrained segmentation method more robust with low-quality, less number of images
ISSN:0926-5805
1872-7891
DOI:10.1016/j.autcon.2020.103231