Depth camera indoor mapping for 3D virtual radio play

Virtanen, Juho‐Pekka; Kurkela, Matti; Turppa, Tuomas; Vaaja, Matti; Julin, Arttu; Kukko, Antero; Hyyppä, Juha; Ahlavuo, Marika; Numers, Jessica Edén von; Haggrén, Henrik; Hyyppä, Hannu

doi:10.1111/phor.12239

Cited by 18 publications

(21 citation statements)

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“…On the contrary, the handling of an instrument and the possibility to acquire large areas in short times, as well as a more immediate data management in terms of weight and visualization, make photogrammetry the most used survey technology in the last decades. The most updated studies in this field (Chen et al, 2018;Lehtola et al, 2017;Virtanen et al, 2018), concentrate on the results of different reality-based capture methodologies, assessing and comparing them according to quantity and quality factors. In this respect, experimentation with Matterport Pro2 3D focuses on the analysis of capture methodology, with reference to the configuration of the area to be surveyed, verifying typology and accuracy of achievable data in relation to survey purposes.…”

Section: Related Workmentioning

confidence: 99%

3d Cameras Acquisitions for the Documentation of Cultural Heritage

Pulcrano

Scandurra

Minin³

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Photography has always been considered as a valid tool to acquire information about reality. Nowadays, its versatility, together with the development of new techniques and technologies, allows to use it in different fields of application. Particularly, in the digitization of built heritage, photography not only enables to understand and document historical and architectural artifacts but also to acquire morphological and geometrical data about them with automated digital photogrammetry. Nowadays, photogrammetry enables many tools to give virtual casts of reality by showing it in the way of point cloud. Although they can have metric reliability and visual quality, traditional instruments &ndash; such as monoscopic cameras &ndash; involve a careful planning of the campaign phase and a long acquisition and processing time. On the contrary, the most recent ones, based on the integration of different sensors and cameras, try to reduce the gap between time and results. The latter include some systems of indoor mapping who, thanks to 360&deg; acquisitions and SLAM technology, reconstruct the original scene in real time in great detail and with a photorealistic rendering. This study is aimed at reporting a research evaluating metric reliability and the level of survey detail with a Matterport Pro2 3D motorized rotating camera, equipped with SLAM technology, whose results have been compared with point clouds obtained by image-based and range-based processes.

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Section: Related Workmentioning

confidence: 99%

3d Cameras Acquisitions for the Documentation of Cultural Heritage

Pulcrano

Scandurra

Minin³

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Matterport Pro 3D Camera, further in the paper Matterport (Matterport, 2019a) is a good example one of such a project. As the main purpose of Matterport is data acquisition for indoor modelling, some researches have been done (Virtanen, et al 2018, Gärdin, et al 2018. In the first paper, the opportunity of Matterport for the creation of interactive virtual environments has been studied.…”

Section: Introductionmentioning

confidence: 99%

Capability of Matterport 3d Camera for Industrial Archaeology Sites Inventory

Shults

Levin

Habibi

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This paper provides an overview of state-of-the-art technology and sensor for the inventory of industrial archaeology. As an object of study, a historical copper shaft the Quincy Mine in Michigan State Upper Peninsula was chosen. This shaft was operated for nearly 100 years from 1846 to 1945 and today, what remains of the shaft is a part of the Keweenaw National Historical Park. The main sensor for data acquisition that was used is a 3D camera Matterport. In given research, the results of the above ground scanning using of Matterport are presented. Before scanning a calibration of Matterport camera was performed. The calibration was done by comparison of coordinates of targets determined by FARO Scanner. It was found out that the camera has significant systematic errors which have to be accounted during data processing. Because of the specific data structure of Matterport camera, only the scale factor was calculated and then applied to point clouds. Field works comprised historical and archive data collection and analysis, reconnaissance and scanning of the Quincy Mine interior. As a final result of the research 3D model of the Quincy Mine interior was constructed. Further, this model is going to be used for the Quincy Mine Museum virtual tours. There are many advantages to using Matterport. First of all, such a technology does not need dense geodetic support, average working time at station equals to 2–3 minutes. Cost of Matteroprt equipment is competitive to the cheapest terrestrial laser scanners.

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“…Virtanen, et al [48] aimed to build a 3D virtual reality environment to show the amount of CO 2 , so they used both a mobile laser scanner and a 3D camera to build 3D indoor building models in a computer graphics software, Blender. Virtanen, et al [49] used a 3D camera to create an indoor 3D scene as the environment for virtual radio play. Thus, a 3D camera could be a good choice for image data collection because it provides more data than 2D cameras, including 360 panoramas, 3D models and point cloud [50,51].…”

Section: Fuzzy Logicmentioning

confidence: 99%

Evaluation of Classical Operators and Fuzzy Logic Algorithms for Edge Detection of Panels at Exterior Cladding of Buildings

et al. 2019

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The automated process of construction defect detection using non-contact methods provides vital information for quality control and updating building information modelling. The external cladding in modular construction should be regularly controlled in terms of the quality of panels and proper installation because its appearance is very important for clients. However, there are limited computational methods for examining the installation issues of external cladding remotely in an automated manner. These issues could be the incorrect sitting of a panel, unequal joints in an elevation, scratches or cracks on the face of a panel or dimensions of different elements of external cladding. This paper aims to present seven algorithms to detect panel edges and statistically compare their performance through application on two scenarios of buildings in construction sites. Two different scenarios are selected, where the building façades are available to the public, and a sample of 100 images is taken using a state-of-the-art 3D camera for edge detection analysis. The experimentation results are validated by using a series of computational error and accuracy analyses and statistical methods including Mean Square Error, Peak Signal to Noise Ratio and Structural Similarity Index. The performance of an image processing algorithm depends on the quality of images and the algorithm utilised. The results show better performance of the fuzzy logic algorithm because it detects clear edges for installed panels. The applications of classical operators including Sobel, Canny, LoG, Prewitt and Roberts algorithms give similar results and show similarities in terms of the average of errors and accuracy. In addition, the results show that the minor difference of the average of the error and accuracy indices for Sobel, Canny, LoG, Prewitt and Roberts methods between both scenarios are not statistically significant, while the difference in the average of the error and accuracy indices for RGB-Sobel and Fuzzy methods between both scenarios are statistically significant. The accuracy of the algorithms can be improved by removing unwanted items such as vegetation and clouds in the sky. The evaluated algorithms assist practitioners to analyse their images collected day to day from construction sites, and to update building information modelling and the project digital drawings. Future work may need to focus on the combination of the evaluated algorithms using new data sets including colour edge detection for automatic defect identification using RGB and 360-degree images.

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Depth camera indoor mapping for 3D virtual radio play

Cited by 18 publications

References 50 publications

3d Cameras Acquisitions for the Documentation of Cultural Heritage

3d Cameras Acquisitions for the Documentation of Cultural Heritage

Capability of Matterport 3d Camera for Industrial Archaeology Sites Inventory

Evaluation of Classical Operators and Fuzzy Logic Algorithms for Edge Detection of Panels at Exterior Cladding of Buildings

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