Documentation of Complex Environments Using 360° Cameras. The Santa Marta Belltower in Montanaro

Losè, L. Teppati; Chiabrando, Filiberto; Tonolo, Fabio Giulio

doi:10.3390/rs13183633

Cited by 18 publications

(20 citation statements)

References 48 publications

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“…As explained above, the JPEG Snack file contains embedded multimedia data, so the inputs to the JPEG Snack encoder can be portable network graphics (PNG) or JPEG-1 images taken from the camera, videos recorded with the camera, or audio recorded with a microphone. The sensors used for the images and videos are compact cameras [ 32 ], 360° cameras [ 33 ], digital single-lens reflex (DSLR), and adventure cameras. For audio, microphone sensors are used.…”

Section: Jpeg Snack Encoded Filementioning

confidence: 99%

A Novel Multimedia Player for International Standard—JPEG Snack

et al. 2023

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The advancement in mobile communication and technologies has led to the usage of short-form digital content increasing daily. This short-form content is mainly based on images that urged the joint photographic experts’ group (JPEG) to introduce a novel international standard, JPEG Snack (International Organization for Standardization (ISO)/ International Electrotechnical Commission (IEC) IS, 19566-8). In JPEG Snack, the multimedia content is embedded into a main background JPEG file, and the resulting JPEG Snack file is saved and transmitted as a .jpg file. If someone does not have a JPEG Snack Player, their device decoder will treat it as a JPEG file and display a background image only. As the standard has been proposed recently, the JPEG Snack Player is needed. In this article, we present a methodology to develop JPEG Snack Player. JPEG Snack Player uses a JPEG Snack decoder and renders media objects on the background JPEG file according to the instructions in the JPEG Snack file. We also present some results and computational complexity metrics for the JPEG Snack Player.

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Section: Jpeg Snack Encoded Filementioning

confidence: 99%

A Novel Multimedia Player for International Standard—JPEG Snack

et al. 2023

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“…UAS-based close-range photogrammetry is a proven stand-alone approach to 3D modeling of built heritage [323][324][325][326][327][328][329]. Nevertheless, it can also support ground means such as terrestrial LiDAR [330][331][332][333] and simultaneous localization and mapping (SLAM)-based recording techniques [334,335]. UAS-born LiDAR is a 3D recording approach less explored for historical structures [336] than for landscape features induced by buried archaeological remains.…”

Section: The Aerial Perspectivementioning

confidence: 99%

Close-Range Sensing and Data Fusion for Built Heritage Inspection and Monitoring—A Review

Adamopoulos

Rinaudo

2021

Remote Sensing

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Built cultural heritage is under constant threat due to environmental pressures, anthropogenic damages, and interventions. Understanding the preservation state of monuments and historical structures, and the factors that alter their architectural and structural characteristics through time, is crucial for ensuring their protection. Therefore, inspection and monitoring techniques are essential for heritage preservation, as they enable knowledge about the altering factors that put built cultural heritage at risk, by recording their immediate effects on monuments and historic structures. Nondestructive evaluations with close-range sensing techniques play a crucial role in monitoring. However, data recorded by different sensors are frequently processed separately, which hinders integrated use, visualization, and interpretation. This article’s aim is twofold: i) to present an overview of close-range sensing techniques frequently applied to evaluate built heritage conditions, and ii) to review the progress made regarding the fusion of multi-sensor data recorded by them. Particular emphasis is given to the integration of data from metric surveying and from recording techniques that are traditionally non-metric. The article attempts to shed light on the problems of the individual and integrated use of image-based modeling, laser scanning, thermography, multispectral imaging, ground penetrating radar, and ultrasonic testing, giving heritage practitioners a point of reference for the successful implementation of multidisciplinary approaches for built cultural heritage scientific investigations.

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“…Although, spherical photogrammetry is a technology which was introduced nearly one and a half decade ago [5], [6], the SfM algorithm used for 3D modelling through spherical photogrammetry still has room for improvement. One of the major problems with this method is the lack of metric accuracy achieved [7]. However, SfM can be optimized for spherical photogrammetry by introducing a novel approach to 360 camera calibration techniques and through optimizing the dense matching of point clouds for images taken from a 360 camera to achieve better metric accuracy of the 3D models.…”

Section: Introductionmentioning

confidence: 99%

Fast 3D Mapping Solution with UAV

Shahid,

Phang,

Chew

2023

J. Phys.: Conf. Ser.

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The photogrammetric method of 3D mapping uses Structure from Motion (SfM) algorithm, where 3D structures of a scene are created from 2D sets of data taken from multiple angles. This 3D mapping process is used in many advanced and important applications in the digital and robotics industry. The use of omnidirectional camera along with UAV for this photogrammetric process allows faster data acquisition and data processing to construct 3D structures compared to traditional method. However, the metric accuracy of spherical photogrammetry is relatively less compared to traditional framed camera photogrammetry. Hence, this research will focus on improving metric accuracy of spherical photogrammetry by enhancing SfM algorithm for the purpose of providing an enhanced and value-added fast 3D mapping solution using UAV. The research was conducted at 4 main levels. 1) Data acquisition phase, where the 360-degree camera with GPS tracker are attached to a UAV, and it is used to collect different sets of images at different heights and angles. 2) Camera calibration, for the purpose of identifying the camera intrinsic and extrinsic. These 2 parameters are crucial in feature detection and camera position estimation. 3) Data processing phase, where the collected data would be processed through the enhanced SfM algorithm to create the 3D structures. 4) Data analysis phase, where the 3D model created from enhanced SfM algorithm would be compared against a reference 3D model created by commercial software. However, the results attained were not as expected due to undesired feature detection process. This research is expected to help geographical and land surveyors to conduct surveys at a faster, more efficient and at a higher accuracy. A practical use case of this solution is to survey the terrain of an area under natural disaster, accurately and faster for search and rescue missions.

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Documentation of Complex Environments Using 360° Cameras. The Santa Marta Belltower in Montanaro

Cited by 18 publications

References 48 publications

A Novel Multimedia Player for International Standard—JPEG Snack

A Novel Multimedia Player for International Standard—JPEG Snack

Close-Range Sensing and Data Fusion for Built Heritage Inspection and Monitoring—A Review

Fast 3D Mapping Solution with UAV

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