2014
DOI: 10.1007/s10846-014-0099-5
| View full text |Cite
|
Sign up to set email alerts
|

Abstract: In recent years 3D models of buildings are used in maintenance and inspection, preservation, and other building related applications. However, the usage of these models is limited because most models are pure representations with no or little associated semantics. In this paper we present a pipeline of techniques used for interior interpretation, object detection, and adding energy related semantics to windows of a 3D thermal model. A sequence of algorithms is presented for building the fundamental semantics o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
14
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 25 publications
(14 citation statements)
references
References 22 publications
0
14
0
Order By: Relevance
“…Recent automated thermography efforts have focused on two areas ( Figure 2): transforming thermal images into 3D-reconstructions of buildings (e.g., [17,20,29,31,38]) and employing robots and vehicles to scale up data collection (e.g., [6,10,13,30,34,35,41]). Researchers argue that traditional 2D thermal images: (i) do not include geometry and spatial relationships, which are important for interpreting thermography [20,29]; (ii) are unordered, messy, and difficult to organize [17,20]; (iii) and require time-consuming and labor intensive post-hoc analysis [17,20,38].…”
Section: Automating Thermographymentioning
confidence: 99%
See 3 more Smart Citations
“…Recent automated thermography efforts have focused on two areas ( Figure 2): transforming thermal images into 3D-reconstructions of buildings (e.g., [17,20,29,31,38]) and employing robots and vehicles to scale up data collection (e.g., [6,10,13,30,34,35,41]). Researchers argue that traditional 2D thermal images: (i) do not include geometry and spatial relationships, which are important for interpreting thermography [20,29]; (ii) are unordered, messy, and difficult to organize [17,20]; (iii) and require time-consuming and labor intensive post-hoc analysis [17,20,38].…”
Section: Automating Thermographymentioning
confidence: 99%
“…Both require large amounts of data. Thus, researchers are increasingly using robots for data collection, including ground-based rovers for indoor thermography (e.g., [6,10]) and UAVs for outdoor thermography (e.g., [13,30,35,41]). The robots are equipped with a suite of sensors such as thermal and optical cameras, laser scanners, and GPS.…”
Section: Automating Thermographymentioning
confidence: 99%
See 2 more Smart Citations
“…Adán et al, (2011) andPrevitali et al (2014) detect openings in indoor scenes by analysing data density and classifying lowdensity areas as openings, thus limiting the scope to low-density windows and doorways. Demisse et al, (2013) In this work, we propose a simple but effective methodology based on automatic data-driven approach for the reconstruction of building indoor scenes using both 3D point clouds and RGB images, going in depth with door detection and classification. The methodology is tested through a case study, acquired under unmodified-furniture conditions.…”
Section: Introductionmentioning
confidence: 99%