Perspective correction of building facade images for architectural applications

Soycan, Arzu; Soycan, Metin

doi:10.1016/j.jestch.2018.12.012

Cited by 13 publications

(18 citation statements)

References 4 publications

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“…All commercial algorithms and software packages available are tailored to aerial images (e.g., Trimble's Inpho), the common ortho-projection software can handle only flat surfaces defined as DTM. Likewise, the software available for representation architectures and heritage surfaces (e.g., Faro's PhoToPlan) is only useful for relatively flat or predefined regular shapes, such as unwrapped cylinder objects [41,59]. Compared to the existing methods, this paper proposed advanced texture mapping and true orthophoto techniques of complex heritage structures.…”

Section: Discussionmentioning

confidence: 99%

“…However, the techniques developed still lack the algorithms used to manage such integration in large and complex structures [39]. All commercial algorithms and software available are tailored to aerial applications [40], whereas the software available for architecture representation and heritage surfaces are only effective for relatively flat or predefined regular shapes [41].…”

Section: Introductionmentioning

confidence: 99%

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Color and Laser Data as a Complementary Approach for Heritage Documentation

Alshawabkeh

2020

Remote Sensing

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Heritage recording has received much attention and benefits from recent developments in the field of range and imaging sensors. While these methods have often been viewed as two different methodologies, data integration can achieve different products, which are not always found in a single technique. Data integration in this paper can be divided into two levels: laser scanner data aided by photogrammetry and photogrammetry aided by scanner data. At the first level, superior radiometric information, mobility and accessibility of imagery can be actively used to add texture information and allow for new possibilities in terms of data interpretation and completeness of complex site documentation. In the second level, true orthophoto is generated based on laser data, the results are rectified images with a uniform scale representing all objects at their planimetric position. The proposed approaches enable flexible data fusion and allow images to be taken at an optimum time and position for radiometric information. Data fusion usually involves serious distortions in the form of a double mapping of occluded objects that affect the product quality. In order to enhance the efficiency of visibility analysis in complex structures, a proposed visibility algorithm is implemented into the developed methods of texture mapping and true orthophoto generation. The algorithm filters occluded areas based on a patch processing using a grid square unit set around the projected vertices. The depth of the mapped triangular vertices within the patch neighborhood is calculated to assign the visible one. In this contribution, experimental results from different historical sites in Jordan are presented as a validation of the proposed algorithms. Algorithms show satisfactory performance in terms of completeness and correctness of occlusion detection and spectral information mapping. The results indicate that hybrid methods could be used efficiently in the representation of heritage structures.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Color and Laser Data as a Complementary Approach for Heritage Documentation

Alshawabkeh

2020

Remote Sensing

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“…Although this does not imply that orthorectification has no further use; on the contrary, there are many current examples (e.g. Soycan & Soycan, 2019), especially when -as in the case of the mock-up-the structure from motion algorithms fail to provide good results.…”

Section: Methodsmentioning

confidence: 97%

Interactive virtual representation of the disappeared convent of El Carmen (Logroño) generated from a paper craft model

Rodríguez-Miranda

Melón

Bañuelos

et al. 2021

Virtual archaeol. rev.

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The concept of mock-up, which share with the drawing the expressive synthesis for the analysis of the architectural form and evolution, is an invaluable asset for the preservation of the heritage. To mark the 175th anniversary of the Práxedes Mateo Sagasta’s secondary school of Logroño (Spain), an exhibition about the history of the institution was organized at the premises of La Rioja Library. The current school building became operational in 1900 and was built on the former site of a Carmelite convent. In fact, the convent rooms were the first location for the school, after the expropriations of religious communities during the mid-19th century. For the benefit of the aforementioned exhibition, it was considered interesting to generate a three-dimensional (3D) virtual reconstruction of the convent buildings to show how it would have looked. However, the lack of sufficient contemporary graphic information was a challenge, so it was decided that an efficient solution would be to generate the virtual reconstruction from a paper craft model, which had been created by the librarian of the secondary school as a result of his research on this matter. This text describes the 3D modelling of that cut-out element by means of monoscopic photogrammetry (perspective drawing) and the use of non-realistic rendering based on the appearance of the paper mock-up (and not trying to recreate the real image of the buildings) so as to provide a suggestive view of the convent and create interactive exhibition items. Moreover, the text deals with the long-term preservation and the improvement of the re-use of the 3D models. The former by resorting to institutional repositories —from which users can download the full detailed versions— and the latter employing versions able to be visualized in 3D warehouses (such as Sketchfab) and augmented reality (AR) applications.Highlights:<ul><li>A significant part of the architectural heritage is represented by mock-ups of different materials (paper, wood, metal and so on).</li><li>Virtual modelling and augmented reality (AR) can be appropriate tools for materializing, recovering and disseminating scale models to the public.</li><li>Techniques for geometric documentation and visual representation need to be adapted in order to tackle the peculiar features of these elements (size, materials, fragility, etc.).</li></ul>

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“…The problem of perspective correction is inherent to all applications involving image acquisition "outside of the laboratory," i.e., from a noncontrolled location with regard to the target imaged [9]. Solving it is required to allow any subsequent automatic processing, for applications as diverse as architectural modeling [10] or optical character recognition [11]. In the case of PV panels, one approach is to identify corners in the acquired image and rectify the image, so those corners are mapped to a rectangle or a square depending on the characteristics of the PV panel [12], and an implementation requiring manual marking of the panel corners can be found [13].…”

Section: Problem Formulation and Previous Workmentioning

confidence: 99%

Method for Estimation and Correction of Perspective Distortion of Electroluminescence Images of Photovoltaic Panels

Mantel

Villebro

Parikh

et al. 2020

IEEE J. Photovoltaics

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The number of photovoltaic panels installed globally is continuously growing, requiring an automatic inspection procedure for operation and maintenance. Drones can be a useful tool to this aim as they enable fast acquisition of various imaging modalities: visual, infrared, or electroluminescence (EL). Image distortions due to perspective must be corrected to allow further automatic processing. It can be done by estimating the corresponding rotation angles to control the camera gimbal or as postprocessing to rectify the images. This article presents two methods to achieve both goals by identifying known points in the acquired image. The first method detects the four panel corners, whereas the second method finds the corners of each cell. The performance evaluation is performed first quantitatively on a validation dataset composed of 113 EL images and their corresponding ground-truth orientations. A qualitative evaluation shows satisfying performance of the rectification similarly for both methods. The quantitative performance is varying for each rotation axis. The average absolute error is 2.78 • along the x-axis, 2.64 • along the y-axis, and 1.28 • along the z-axis for the panel method and 3.26 • , 2.05 • , and 1.24 • for the cell method. As a proof of concept, a final test on drone-acquired EL images shows good performance for the image rectification in real-life conditions.

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Perspective correction of building facade images for architectural applications

Cited by 13 publications

References 4 publications

Color and Laser Data as a Complementary Approach for Heritage Documentation

Color and Laser Data as a Complementary Approach for Heritage Documentation

Interactive virtual representation of the disappeared convent of El Carmen (Logroño) generated from a paper craft model

Method for Estimation and Correction of Perspective Distortion of Electroluminescence Images of Photovoltaic Panels

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