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Automated Registration of SfM‐MVS Multitemporal Datasets Using Terrestrial and Oblique Aerial Images Photogramm. Rec. (IF 1.867) Pub Date : 2021-01-06 Luigi Parente; Jim H. Chandler; Neil Dixon
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Towards online UAS‐based photogrammetric measurements for 3D metrology inspection Photogramm. Rec. (IF 1.867) Pub Date : 2020-11-18 Fabio Menna; Erica Nocerino; Fabio Remondino; Luca Saladino; Luigi Berri
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Optimal selection of virtual control points with planar constraints for large‐scale block adjustment of satellite imagery Photogramm. Rec. (IF 1.867) Pub Date : 2020-12-04 Xiaohua Tong; Qing Fu; Shijie Liu; Hanyu Wang; Zhen Ye; Yanmin Jin; Peng Chen; Xiong Xu; Chao Wang; Sicong Liu; Zhonghua Hong; Kuifeng Luan
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3D point‐cloud spatial expansion by total least‐squares line fitting Photogramm. Rec. (IF 1.867) Pub Date : 2020-12-07 Paweł S. Dąbrowski; Marek H. Zienkiewicz
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Photogrammetric Record Microsoft Word Template Photogramm. Rec. (IF 1.867) Pub Date : 2020-12-30 Arthur Author; Maria J. Author; S. Author
This is an example of an original article in the layout expected by The Photogrammetric Record. The abstract is a concise summary of the essential elements of the paper and should not contain detailed results. It should be no longer than 150 words. This template indicates how a paper submitted to the journal should be structured and formatted, including figures, tables, mathematics and references.
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Editorial: Konecny at 90: Elephants and crocodiles Photogramm. Rec. (IF 1.867) Pub Date : 2020-09-20 Stuart I. Granshaw
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3D reconstruction of internal wood decay using photogrammetry and sonic tomography Photogramm. Rec. (IF 1.867) Pub Date : 2020-08-06 Junjie Zhang; Kourosh Khoshelham
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Post‐filtering with surface orientation constraints for stereo dense image matching Photogramm. Rec. (IF 1.867) Pub Date : 2020-09-20 Xu Huang; Rongjun Qin
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Thermal and spatial data integration for recreating rebuilding stages of wooden and masonry buildings Photogramm. Rec. (IF 1.867) Pub Date : 2020-09-20 Paulina Lewińska; Kamil Maciuk
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Photogrammetric Record Microsoft Word Template Photogramm. Rec. (IF 1.867) Pub Date : 2020-09-20 Arthur Author; Maria J. Author; S. Author
This is an example of an original article in the layout expected by The Photogrammetric Record. The abstract is a concise summary of the essential elements of the paper and should not contain detailed results. It should be no longer than 150 words. This template indicates how a paper submitted to the journal should be structured and formatted, including figures, tables, mathematics and references.
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Geometric modelling and calibration of a spherical camera imaging system Photogramm. Rec. (IF 1.867) Pub Date : 2020-06-29 Derek D. Lichti, David Jarron, Wynand Tredoux, Mozhdeh Shahbazi, Robert Radovanovic
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Photogrammetric terminology: fourth edition Photogramm. Rec. (IF 1.867) Pub Date : 2020-06-29 Stuart I. Granshaw
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A geometric calibration model for the new ultra‐large frame aerial mapping camera DMZ II Photogramm. Rec. (IF 1.867) Pub Date : 2020-06-29 Yong Fang, Haiyan Hu, Li Gao, Zhenzhi Jiang, Bincai Cao, Bijiao Sun
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Photogrammetric Record Microsoft Word Template Photogramm. Rec. (IF 1.867) Pub Date : 2020-06-29 Arthur Author, Maria J. Author, S. Author
This is an example of an original article in the layout expected by The Photogrammetric Record. The abstract is a concise summary of the essential elements of the paper and should not contain detailed results. It should be no longer than 150 words. This template indicates how a paper submitted to the journal should be structured and formatted, including figures, tables, mathematics and references.
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Sensor fusion Photogramm. Rec. (IF 1.867) Pub Date : 2020-03-29 Stuart I. Granshaw
Photogrammetry does not exist in a bubble. There are a variety of techniques that compete with traditional image‐based photogrammetry. During the first decade of this century it seemed that traditional photogrammetry would be eclipsed by laser scanning, but its re‐emergence as a competitive technique is testament to its longevity. Of course, laser scanning (lidar) is not the only technology that competes
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A precise visual localisation method for the Chinese Chang’e‐4 Yutu‐2 rover Photogramm. Rec. (IF 1.867) Pub Date : 2020-03-29 YouQing Ma, ShaoChuang Liu, Bing Sima, Bo Wen, Song Peng, Yang Jia
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Assessment of dense image matchers for digital surface model generation using airborne and spaceborne images – an update Photogramm. Rec. (IF 1.867) Pub Date : 2020-03-29 Yilong Han, Rongjun Qin, Xu Huang
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Geospatial World Forum 2020 Photogramm. Rec. (IF 1.867) Pub Date : 2020-03-29
In the emerging digital economy , geospatial is not just about location. It is more about how the information revolution will affect human livelihood and the surrounding environment. The geospatial industry is uniquely placed in the entire digital transformation ecosystem. It is already established that location offers the much‐needed fourth pillar (along with AI, IoT and big data) to the fourth industrial
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FIG Working Week 2020 Photogramm. Rec. (IF 1.867) Pub Date : 2020-03-29
FIG Working Week brings together the international community of surveying and spatial professionals to discuss key challenges within the surveying profession with fellow peers. Theme: Smart surveyors for land and water management; Dates: 10th to 14th May 2020; Location: RAI Amsterdam Convention Centre, Amsterdam, The Netherlands; Contact: Amsterdam2020@geo-info.nl; Website: http://www.fig.net/fig2020/
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XXIVth ISPRS International Congress, Nice 2020 Photogramm. Rec. (IF 1.867) Pub Date : 2020-03-29
The XXIVth International Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS) will be held in Nice, France in June 2020. Each day will consist of a plenary session, with world‐class keynote speakers, together with up to six parallel sessions: Scientific track . Core scientific programme based around the five ISPRS Technical Commissions (TCs) and their working groups (WGs)
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FOSS4G 2020 Photogramm. Rec. (IF 1.867) Pub Date : 2020-03-29
The internationally acclaimed Free and Open Source Software for Geospatial (FOSS4G) conference is OSGeo’s annual global conference held in a different city around the world each year since 2004. The annual FOSS4G conference is the largest global gathering focused on open source geospatial software. Regularly attracting over 1000 attendees, FOSS4G brings together developers, users, decision‐makers and
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12th International Conference on Mobile Mapping Technology 2021 Photogramm. Rec. (IF 1.867) Pub Date : 2020-03-29
ISPRS Working Groups I/2, I/6, I/7 and II/3 will contribute to the 2021 conference on mobile mapping. Dates: 26th to 28th May 2021; Location: Padua, Italy; Contact: masiero.andrea@gmail.com
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Wiley Open Science Badges Photogramm. Rec. (IF 1.867) Pub Date : 2020-03-29
Starting in 2019 (volume 34), The Photogrammetric Record has allowed authors, if they wish, to participate in the Open Science Badges scheme. The Center for Open Science (COS), based in Charlottesville, Virginia, USA, has initiated a mission to increase openness, integrity and reproducibility of research. Open Science badges are a means of acknowledging open science practices, signalling to readers
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Promotion of Authors’ Work by Wiley Author Services Photogramm. Rec. (IF 1.867) Pub Date : 2020-03-29
The Wiley Author Services team (to which The Photogrammetric Record belongs) aims to help authors distribute and promote their work more easily and to a wider audience. All corresponding authors who are registered with Author Services will have the opportunity to request a link to a read‐only version of their article which they can use to promote their work in any manner they wish – email it to colleagues
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Information for Prospective Authors Photogramm. Rec. (IF 1.867) Pub Date : 2020-03-29
New submissions to The Photogrammetric Record should use the ScholarOne electronic manuscript review system, which is available on the journal’s website at: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1477-9730/ In the left‐hand column on the homepage, there are four links under FOR CONTRIBUTORS. Prospective authors should carefully study the third link, Author Guidelines , and especially
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Hierarchical classification of pole‐like objects in mobile laser scanning point clouds Photogramm. Rec. (IF 1.867) Pub Date : 2020-01-10 Rufei Liu, Peng Wang, Zhaojin Yan, Xiushan Lu, Minye Wang, Jiayong Yu, Maoyi Tian, Xinjiang Ma
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Inside the ice shelf: using augmented reality to visualise 3D lidar and radar data of Antarctica Photogramm. Rec. (IF 1.867) Pub Date : 2019-12-23 Alexandra L. Boghosian, Martin J. Pratt, Maya K. Becker, S. Isabel Cordero, Tejendra Dhakal, Jonathan Kingslake, Caitlin D. Locke, Kirsty J. Tinto, Robin E. Bell
From 2015 to 2017, the ROSETTA‐Ice project comprehensively mapped Antarctica's Ross Ice Shelf using IcePod, a newly developed aerogeophysical platform. The campaign imaged the ice‐shelf surface with lidar and its internal structure with ice‐penetrating radar. The ROSETTA‐Ice data was combined with pre‐existing ice surface and bed topography digital elevation models to create the first augmented reality
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Hyperspectral outcrop models for palaeoseismic studies Photogramm. Rec. (IF 1.867) Pub Date : 2019-12-23 Moritz Kirsch, Sandra Lorenz, Robert Zimmermann, Louis Andreani, Laura Tusa, Solveig Pospiech, Robert Jackisch, Mahdi Khodadadzadeh, Pedram Ghamisi, Gabriel Unger, Philip Hödl, Richard Gloaguen, Maarit Middleton, Raimo Sutinen, Antti Ojala, Jussi Mattila, Nicklas Nordbäck, Jukka‐Pekka Palmu, Mia Tiljander, Timo Ruskeeniemi
The traditional study of palaeoseismic trenches, involving logging, stratigraphic and structural interpretation, can be time consuming and affected by biases and inaccuracies. To overcome these limitations, a new workflow is presented that integrates infrared hyperspectral and photogrammetric data to support field‐based palaeoseismic observations. As a case study, this method is applied on two palaeoseismic
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Combining thermal imaging with photogrammetry of an active volcano using UAV: an example from Stromboli, Italy Photogramm. Rec. (IF 1.867) Pub Date : 2019-12-23 Zoë E. Wakeford, Magda Chmielewska, Malcolm J. Hole, John A. Howell, Dougal A. Jerram
Volcanoes are a potential hazard to over 750 million people worldwide. Accessing them to install monitoring equipment can be logistically challenging and dangerous. Traditional monitoring equipment is expensive and not available to many local communities. A new, low‐cost method is proposed to address these challenges using a unique 3D thermal photogrammetric modelling workflow. The data acquisition
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A low‐cost open‐source workflow to generate georeferenced 3D SfM photogrammetric models of rocky outcrops Photogramm. Rec. (IF 1.867) Pub Date : 2019-11-27 Laurent Froideval, Kevin Pedoja, Franck Garestier, Pierre Moulon, Christophe Conessa, Xavier Pellerin Le Bas, Kalil Traoré, Laurent Benoit
Structure‐from‐Motion (SfM) software and unmanned aerial vehicles (UAVs) have been increasingly adopted in the geosciences. The current mainstream generation of 3D models is still expensive as it relies on UAVs, Differential Global Navigation Satellite System (DGNSS) ground control points and commercial software. This paper proposes an end‐to‐end reproducible SfM workflow with minimal legal, financial
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Application of photogrammetry to generate quantitative geobody data in ephemeral fluvial systems Photogramm. Rec. (IF 1.867) Pub Date : 2019-11-13 Charlotte L. Priddy, Jamie K. Pringle, Stuart M. Clarke, Ross P. Pettigrew
Outcrop studies are often used as analogues to subsurface sedimentary reservoirs, with photogrammetry representing a useful technique to obtain quantitative geometrical data of sedimentary architectures. Digital photogrammetric techniques were used to study fluvial sediments of the Lower Jurassic Kayenta Formation of the western USA. Model‐extracted statistics for channel and sheetflood elements, relevant
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An improved RANSAC algorithm for extracting roof planes from airborne lidar data Photogramm. Rec. (IF 1.867) Pub Date : 2019-11-13 Sibel Canaz Sevgen, Fevzi Karsli
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Geometric accuracy improvement of WorldView‐2 imagery using freely available DEM data Photogramm. Rec. (IF 1.867) Pub Date : 2019-10-10 Mateo Gašparović, Dino Dobrinić, Damir Medak
This paper provides geometric accuracy improvements for very high resolution WorldView‐2 (WV2) Ortho Ready Standard Level‐2A (ORS2A) satellite images in the panchromatic (PAN) band. The entire process can be divided into two steps: (1) sensor orientation, which was conducted on 40 ground control points (GCPs) to determine which sensor model was best depending on various numbers of GCPs; and (2) orthorectification
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Review of mobile laser scanning target‐free registration methods for urban areas using improved error metrics Photogramm. Rec. (IF 1.867) Pub Date : 2019-10-10 Hoang Long Nguyen, David Belton, Petra Helmholz
Registration is one of the most important tasks in mobile laser scanning (MLS) point cloud processing. This paper firstly reviews existing target‐free matching techniques as well as methods to evaluate the quality of the registration. Next, a new error metric is introduced that takes into account the residuals of check planes as well as their orientation. Experiments using real datasets in combination
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PpC: a new method to reduce the density of lidar data. Does it affect the DEM accuracy? Photogramm. Rec. (IF 1.867) Pub Date : 2019-10-10 Sandra Buján, Eduardo M. González‐Ferreiro, Miguel Cordero, David Miranda
In cost–benefit analysis of lidar data acquisition, point density is often artificially reduced in order to examine how this affects the quality of derived products. However, the performance of the different density reduction methods has not yet been compared and their influence on the accuracy of the models and results has not been evaluated. A novel method for reducing the point density, termed Proportional
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Optimising the quality of an SfM‐MVS slope monitoring system using fixed cameras Photogramm. Rec. (IF 1.867) Pub Date : 2019-09-12 Luigi Parente, Jim H. Chandler, Neil Dixon
The quality of 3D scene reconstruction and monitoring through structure‐from‐motion multiview stereo (SfM‐MVS) depends on critical key factors, including camera calibration and image network geometry. The goal of this paper is to examine the monitoring ability of an SfM‐MVS workflow based on four or more ground‐based digital single‐lens reflex (DSLR) cameras and to estimate differences when adopting
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Cross‐section positioning based on a dynamic MLS tunnel monitoring system Photogramm. Rec. (IF 1.867) Pub Date : 2019-08-09 Liming Du, Ruofei Zhong, Haili Sun, Yujiao Liu, Qiong Wu
The number of tunnels is increasing sharply, especially in China, due to the development of urban rail transit networks. It is thus crucial to study rapid structural deformation detection methods for tunnels in operation. A dynamic tunnel monitoring system can directly obtain cross sections. However, using only odometers to locate the cross sections along the track of a tunnel results in insufficient
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Acceleration of object tracking in high‐speed videogrammetry using a parallel OpenMP and SIMD strategy Photogramm. Rec. (IF 1.867) Pub Date : 2019-06-19 Xiaohua Tong, Shouzhu Zheng, Sa Gao, Sicong Liu, Peng Chen, Chengcheng Guo, Shijie Liu, Huan Xie, Yanmin Jin, Zhen Ye, Xiong Xu, Chao Wei, Lintao Hu
High‐speed cameras are able to effectively and efficiently obtain the location of moving objects over time in many practical applications. In order to meet the requirement for fast computing and processing in the object‐tracking process, this paper adopts parallel computing to process multiple video‐image sequences by using open multi‐processing (OpenMP) and single‐instruction multiple data (SIMD)
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Photogrammetric water level determination using smartphone technology Photogramm. Rec. (IF 1.867) Pub Date : 2019-06-19 Melanie Elias, Christian Kehl, Danilo Schneider
Rapid technological progress has made mobile devices increasingly valuable for scientific research. This paper outlines a versatile camera‐based water gauging method, implemented on smartphones, which is usable almost anywhere if 3D data is available at the targeted river section. After analysing smartphone images to detect the present water line, the image data is transferred into object space. Using
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Co‐registration of panoramic mobile mapping images and oblique aerial images Photogramm. Rec. (IF 1.867) Pub Date : 2019-04-29 Phillipp Fanta‐Jende, Francesco Nex, George Vosselman, Markus Gerke
Mobile mapping relies on satellite‐based positioning, which suffers from line‐of‐sight and multipath issues. As an alternative, this paper presents a fully automatic approach for the co‐registration of mobile mapping and oblique aerial images to introduce highly accurate and reliable ground control for mobile mapping data adjustment. An oblique view of a scene introduces similarities as well as challenges
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Building detection and regularisation using DSM and imagery information Photogramm. Rec. (IF 1.867) Pub Date : 2019-03-26 Yousif A. Mousa, Petra Helmholz, David Belton, Dimitri Bulatov
An automatic method for the regularisation of building outlines is presented, utilising a combination of data‐ and model‐driven approaches to provide a robust solution. The core part of the method includes a novel data‐driven approach to generate approximate building polygons from a list of given boundary points. The algorithm iteratively calculates and stores likelihood values between an arbitrary
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Focus stacking photogrammetry for micro‐scale roughness reconstruction: a methodological study Photogramm. Rec. (IF 1.867) Pub Date : 2019-03-25 Marcin Olkowicz, Marcin Dabrowski, Anne Pluymakers
In close‐range applications, it is unclear whether optical photogrammetry is capable of accurately reconstructing submillimetre‐scale roughness. This paper presents a study of fine‐scale rock fracture roughness measurements with a careful assessment of the error. The workflow combines the techniques of structure from motion with focus stacking, using consumer‐grade equipment and free or affordable
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Full‐field deformation measurement by videogrammetry using self‐adaptive window matching Photogramm. Rec. (IF 1.867) Pub Date : 2019-03-19 Sa Gao, Xiaohua Tong, Peng Chen, Zhen Ye, Ouling Hu, Benkang Wang, Cheng Zhao, Shijie Liu, Huan Xie, Yanmin Jin, Xiong Xu, Sicong Liu, Chao Wei
Full‐field deformation measurement of specific materials is an important issue in civil engineering materials testing. This paper presents a flexible videogrammetric scheme to measure full‐field deformation of an artificial rock‐like material under uniaxial compression. In this scheme, two high‐speed cameras were used to measure the spatial morphological changes of the material surface, which was sprayed
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Development of a new dual‐pattern fringe projection scanner Photogramm. Rec. (IF 1.867) Pub Date : 2019-03-19 Ali Abzal, Mohammad Saadatseresht, Masood Varshosaz
This paper proposes a new fringe projection scanner that uses a dual pattern to prevent phase retrieval errors or complications. The pattern comprises two horizontal and vertical patterns, however, just one of them is involved in computing the coordinates of an object point. To define the pattern, a photometric stereo component is used to extract the geometric properties of the object. The extracted
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Georeferenced underwater photogrammetry to map marine habitats and submerged artificial structures Photogramm. Rec. (IF 1.867) Pub Date : 2019-01-10 Arnaud Abadie, Pierre Boissery, Christophe Viala
Over the past decade, underwater photogrammetry has been experiencing an increased interest due to the enhancement of camera performance and computing power. This study describes the test of two new methods to perform georeferenced underwater photogrammetry. The first one uses the coupling between photogrammetry by scuba diving and positioning with acoustic data from a multibeam echo sounder; the second
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A greyscale voxel model for airborne lidar data applied to building detection Photogramm. Rec. (IF 1.867) Pub Date : 2019-01-10 Liying Wang, Yuanding Zhao, Yu Li
The existing binary voxel model algorithm for 3D building detection (3BD) from airborne lidar cannot distinguish between connected buildings and non‐buildings. As a result, a greyscale voxel structure model, using the discretised mean intensity of lidar points, is presented to support subsequent building detection in areas where buildings are adjacent to non‐buildings but with different greyscales
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Development of multi‐lens aerial cameras in the UK for topographic mapping during the 1920s and 1930s Photogramm. Rec. (IF 1.867) Pub Date : 2018-12-27 Gordon Petrie, Michael Nolan
This paper provides an account of the development of the multi‐lens aerial photographic cameras that were constructed in the UK for topographic mapping purposes under the auspices of the Air Survey Committee during the interwar period of the 1920s and 1930s. Three‐, five‐ and seven‐lens cameras were designed and built by the Royal Aircraft Establishment, Farnborough and by Barr & Stroud in Glasgow;
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GPS precise point positioning for UAV photogrammetry Photogramm. Rec. (IF 1.867) Pub Date : 2018-11-05 Ben Grayson, Nigel T. Penna, Jon P. Mills, Darion S. Grant
The use of Global Positioning System (GPS) precise point positioning (PPP) on a fixed‐wing unmanned aerial vehicle (UAV) is demonstrated for photogrammetric mapping at accuracies of centimetres in planimetry and about a decimetre in height, from flights of 25 to 30 minutes in duration. The GPS PPP estimated camera station positions are used to constrain estimates of image positions in the photogrammetric
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Extraction of building roof planes with stratified random sample consensus Photogramm. Rec. (IF 1.867) Pub Date : 2018-09-21 André C. Carrilho, Mauricio Galo
This paper describes a consensus‐set estimation for building roof‐plane detection using a stratified random sample consensus (sRANSAC) algorithm applied to point clouds acquired by laser scanning systems. The main idea is to use one initial classification to generate consensus‐set candidates to optimise the sampling mechanism compared to the original RANSAC. The initial classification is performed
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In‐orbit geometric calibration and experimental verification of the ZY3‐02 laser altimeter Photogramm. Rec. (IF 1.867) Pub Date : 2018-09-04 Junfeng Xie, Xinming Tang, Fan Mo, Hongzhao Tang, Zhenming Wang, Xiao Wang, Yuxuan Liu, Shiqiang Tian, Ren Liu, Xuefei Xia
ZY3‐02 is the first Chinese earth‐observation satellite equipped with a laser altimeter, designed to assist stereo‐image mapping elevations. Launch vibrations, the space environment and other factors, both expected and unexpected, cause bias in the designed ranging and pointing of the laser altimeter, influencing its height measurement accuracy. This paper proposes an in‐orbit geometric calibration
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Scalable individual tree delineation in 3D point clouds Photogramm. Rec. (IF 1.867) Pub Date : 2018-07-16 Jinhu Wang, Roderik Lindenbergh, Massimo Menenti
Manually monitoring and documenting trees is labour intensive. Lidar provides a possible solution for automatic tree‐inventory generation. Existing approaches for segmenting trees from original point cloud data lack scalable and efficient methods that separate individual trees sampled by different laser‐scanning systems with sufficient quality under all circumstances. In this study a new algorithm
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High‐frequency attitude jitter correction for the Gaofen‐9 satellite Photogramm. Rec. (IF 1.867) Pub Date : 2018-05-22 Guo Zhang, Zhichao Guan
With the gradually improving resolution of earth observation satellite images, attitude determination accuracy has become a key factor influencing image geometric positioning accuracy. However, high‐frequency attitude jitters caused by the instability of the satellite platform lead to image distortions which cannot be corrected by the low‐frequency star sensor and gyro attitude measurement. Therefore
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Smartphone‐based close‐range photogrammetric assessment of spherical objects Photogramm. Rec. (IF 1.867) Pub Date : 2018-05-22 Inés Barbero‐García, Miriam Cabrelles, José Luis Lerma, Ángel Marqués‐Mateu
Smartphones have widened the possibilities for low‐cost close‐range image acquisition for three‐dimensional (3D) modelling. They allow the rapid acquisition of large amounts of data for a wide range of applications. However, the accuracy of the models and the automation possibilities depend on the image acquisition conditions and application requirements. In this study, the accuracy and reliability
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Suitability of structure from motion for rock‐slope assessment Photogramm. Rec. (IF 1.867) Pub Date : 2018-05-17 Matt S. O'Banion, Michael J. Olsen, Claire Rault, Joseph Wartman, Keith Cunningham
This study examines three sites in Alaska with unstable rock slopes that were surveyed using both terrestrial laser scanning (TLS) and structure‐from‐motion (SfM) techniques. The datasets were acquired simultaneously and linked to a rigorous survey control network. An accuracy evaluation of the SfM‐derived surface models was performed using the TLS data and numerous reflectorless total station observations
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Geometric model and assessment of a dual‐fisheye imaging system Photogramm. Rec. (IF 1.867) Pub Date : 2018-05-15 Mariana Batista Campos, Antonio Maria Garcia Tommaselli, José Marcato Junior, Eija Honkavaara
This paper presents a technique for the calibration of a 360° dual imaging system (Ricoh Theta S) composed of two cameras with fisheye lenses specially mounted in a common structure. The experiments are based on calibration with a bundle adjustment using the equidistant fisheye lens model and relative orientation stability constraints, such as distance, base elements and rotation matrix between individual
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Depth camera indoor mapping for 3D virtual radio play Photogramm. Rec. (IF 1.867) Pub Date : 2018-04-16 Juho‐Pekka Virtanen, Matti Kurkela, Tuomas Turppa, Matti T. Vaaja, Arttu Julin, Antero Kukko, Juha Hyyppä, Marika Ahlavuo, Jessica Edén von Numers, Henrik Haggrén, Hannu Hyyppä
By combining game engines with indoor mapping, it is possible to create interactive virtual environments that represent the real world. In this paper a virtual version of an audio installation in a historic building is produced, where the user freely explores the building and experiences a set of audio clips, creating a virtual radio play. A depth camera indoor mapping system, Matterport, captured
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Advancement of close range photogrammetry with a portable panoramic image mapping system (PPIMS) Photogramm. Rec. (IF 1.867) Pub Date : 2018-04-10 Yung‐Chuan Chen, Yi‐Hsing Tseng
Mobile mapping technologies have contributed to close range photogrammetry becoming an efficient method for a wide range of applications over the last two decades. Advancements have included the integration of multi‐camera images and georeferencing data collected with a mobile mapping system (MMS). This paper proposes the use of a portable panoramic image mapping system (PPIMS), which is a specially
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Seamline optimisation for urban aerial ortho‐image mosaicking using graph cuts Photogramm. Rec. (IF 1.867) Pub Date : 2018-03-25 Yunsheng Zhang, Minglei Zhang, Shouji Du, Zhengrong Zou, Chong Fan
Optimal seamline detection is a key step when composing digital orthophotomaps (DOM) of extensive areas from overlapping ortho‐images. To avoid seamlines passing through buildings when mosaicking, seamline detection between adjacent ortho‐images is casted as a graph‐cut problem. To avoid buildings, colour differences and gradient magnitude derived from the ortho‐images, together with approximate object
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Modelling and automated calibration of a general multi‐projective camera Photogramm. Rec. (IF 1.867) Pub Date : 2018-02-28 Ehsan Khoramshahi, Eija Honkavaara
Recently, multi‐projective cameras (MPCs), often based on frame‐mounted multiple cameras with a small baseline and arbitrary overlap, have found a remarkable place in geomatics and vision‐based applications. This paper outlines the geometric calibration of a general MPC by presenting a mathematical model that describes its unknown generic geometry. A modified bundle block adjustment is employed to
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GRAPHOS – open‐source software for photogrammetric applications Photogramm. Rec. (IF 1.867) Pub Date : 2018-02-21 D. Gonzalez‐Aguilera, L. López‐Fernández, P. Rodriguez‐Gonzalvez, D. Hernandez‐Lopez, D. Guerrero, F. Remondino, F. Menna, E. Nocerino, I. Toschi, A. Ballabeni, M. Gaiani
This paper reports the latest developments for the photogrammetric open‐source tool called GRAPHOS (inteGRAted PHOtogrammetric Suite). GRAPHOS includes some recent innovations in the image‐based 3D reconstruction pipeline, from automatic feature detection/description and network orientation to dense image matching and quality control. GRAPHOS also has a strong educational component beyond its automated
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