Automatic Texture Mapping of Architectural and Archaeological 3d Models

Kersten, Thomas P.; Stallmann, Dirk

doi:10.5194/isprsarchives-xxxix-b5-273-2012

Cited by 15 publications

(14 citation statements)

References 1 publication

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“…Photorealistic representations also enhance urban planners’ spatial understanding, facilitating comprehensive city planning (Yang, ; Yang & Lee, ). Free software for education, such as Google SketchUp, MAXON Cinema 4D, and Autodesk 3ds Max or Maya, can be used for manual texturing (Kersten & Stallmann, ; Sun & Salvaggio, ). Automatic texturing requires a spatially oriented photogrammetric image as well as 3D geometric objects produced by photogrammetric collinearity equations (Kersten & Stallmann, ).…”

Section: Introductionmentioning

confidence: 99%

Developing an optimized texture mapping for photorealistic 3D buildings

Lee

Yang

2018

Transactions in GIS

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Texture mapping generates photorealistic representations of three-dimensional (3D) geometric objects and enhances the spatial perception of areas of interest. Over the past two decades, even though various approaches for 3D urban models have been investigated, their use has been limited because of the lack of spatial accuracy, details, and the complex processes. It is difficult to maintain highly detailed texture information without using a hybrid of aerial image and ground-based imaging techniques, which are costly. Furthermore, it is hard to develop a fully automated process for 3D urban mapping that achieves high spatial accuracy. With regard to the issues, this research aims to develop a semi-automated process for 3D building models that would help image-based approaches. It helps acquire qualified texture information and improve the appearance of building façades in a large city. In particular, this research first investigates an optimal overlap of consecutive aerial images that generates sufficient information to texture each façade, thus making this process more cost-effective. Second, this research develops an application to semi-automatically build 3D buildings and textured 3D buildings. The application is developed in C++. The textured 3D building models are quantitatively and qualitatively assessed to determine the usability of the semi-automated process.

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Section: Introductionmentioning

confidence: 99%

Developing an optimized texture mapping for photorealistic 3D buildings

Lee

Yang

2018

Transactions in GIS

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“…þ ðr 3 l þ r 4 Þðr 9 κu þ r 10 κv þ r 12 − r 11 l − r 12 Þ r 9 κu þ r 10 κv þ r 12 − r 11 l − r 12 (12) and E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 1 3 ; 6 3 ; 2 7 5 (12) and (13) can be simplified as E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 1 4 ; 6 3 ; 1 4 6 xðu; vÞ ¼…”

Section: Lateral Coordinate Calculatingmentioning

confidence: 99%

“…[11][12][13][14] Many methods have been developed for acquiring the texture of a measured object. Among them, the simplest one is to use a single camera to capture both the deformed fringe pattern and the texture image.…”

Section: Introductionmentioning

confidence: 99%

Parallax correction of texture image in fringe projection profilometry

2015

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Abstract. In fringe projection profilometry, the measurement system generally consists of a projector for casting fringes onto a measured object and a monochrome camera for capturing the deformed fringe patterns. In addition to these components, we can add a color camera for capturing the texture of the object simultaneously. For implementing texture mapping on the reconstructed three-dimensional (3-D) surface, the parallax between the views of the texture camera and the measuring camera has to be corrected. For this purpose, we analyze the geometry of the fringe projection system with a color texture camera and further suggest a system calibration method. Using this method, the corresponding relationship between the texture and the 3-D data and the mapping relationship between the depths and the fringe phases are determined simultaneously, so that the duration time for the system calibration implementation is saved. The data processing with this method is of a low computational complexity because it involves only linear minimizations. Using the calibration results, we can transform the texture image from the view of the color camera to that of the measuring camera and precisely map it on the reconstructed object surface. Experimental results demonstrate that this method is effective in correcting the parallax of the texture image. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…Since the meshed models consist of triangles and/or polygons, they must be attributed to defined surface areas in a Sisyphean task, before different textures can be manually assigned to them. However, automatic texture mapping of meshed models would also have been possible, if oriented image data of a calibrated camera was available in the same coordinate system as the 3D model (Kersten & Stallmann 2012). For the preparation of suitable and qualitatively better textures, photos were cropped and rectified in the free software GIMP.…”

Section: Video Sequencementioning

confidence: 99%

3d Recording, Modelling and Visualisation of the Fortification Kristiansten in Trondheim (Norway) by Photogrammetric Methods and Terrestrial Laser Scanning in the Framework of Erasmus Programmes

Kersten

Lindstaedt

Maziull

et al. 2015

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

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Commission V -WG V/4KEY WORDS: 3D, CAD, meshing, model, reconstruction, virtual ABSTRACT:In this contribution the 3D recording, 3D modelling and 3D visualisation of the fortification Kristiansten in Trondheim (Norway) by digital photogrammetry and terrestrial laser scanning are presented. The fortification Kristiansten was built after the large city fire in the year 1681 above the city and has been a museum since 1997. The recording of the fortress took place in each case at the end of August/at the beginning of September 2010 and 2011 during two two-week summer schools with the topic "Digital Photogrammetry & Terrestrial Laser Scanning for Cultural Heritage Documentation" at NTNU Trondheim with international students in the context of ERASMUS teaching programs. For data acquisition, a terrestrial laser scanner and digital SLR cameras were used. The establishment of a geodetic 3D network, which was later transformed into the Norwegian UTM coordinate system using control points, ensured a consistent registration of the scans and an orientation of the photogrammetric images. The fortress buildings were constructed in detail from photogrammetric photographs and point clouds using AutoCAD, while the fortress area and walls were modelled by triangle meshing in Geomagic. The visualisation of the fortress was carried out 2013 with the software Cinema 4D in the context of a lecture in the Master study programme Geomatics. The 3D model was textured and afterwards presented in a video. This 3D model was finally transferred into the game engine Unity for an interactive 3D visualisation on 3D monitors.

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Automatic Texture Mapping of Architectural and Archaeological 3d Models

Cited by 15 publications

References 1 publication

Developing an optimized texture mapping for photorealistic 3D buildings

Developing an optimized texture mapping for photorealistic 3D buildings

Parallax correction of texture image in fringe projection profilometry

3d Recording, Modelling and Visualisation of the Fortification Kristiansten in Trondheim (Norway) by Photogrammetric Methods and Terrestrial Laser Scanning in the Framework of Erasmus Programmes

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