A Photogrammetric and Computer Vision-Based  Approach for Automated 3D Architectural Modeling and  Its Typological Analysis

Garcia-Gago, Jesús; González‐Aguilera, Diego; Gómez-Lahoz, Javier; José-Alonso, Jesús Ignacio San

doi:10.3390/rs6065671

Cited by 20 publications

(15 citation statements)

References 24 publications

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“…The field of architectural documentation, in which often, complex scenarios need to be modeled, classic photogrammetric methods of correspondence as ABM (AreaBased Matching) or LSM (Least Squares Matching), are insufficient, due to the variations in scale, perspective and lightning (García-Gago et al, 2014). It is imperative therefore the use of more sophisticated strategies.…”

Section: Automatic Extraction and Matching Keypointsmentioning

confidence: 99%

“…In the present case of study, an in-house software PW (Photogrammetry Workbench) was developed, which encloses photogrammetric and computer vision algorithms, in a SfM environment.This software applies a multi-stage methodology composed for the following steps (García-Gago et al, 2014): (i) automatic extraction and matching keypoints; (ii) automatic hierarchical orientation of images and (iii) dense surface generation.…”

Section: Introductionmentioning

confidence: 99%

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Non-Contact Photogrammetric Methodology to Evaluate the Structural Health of Historical Constructions

Sánchez-Aparicio

Villarino

Garcia-Gago

et al. 2015

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

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ABSTRACT:Accurate studies of cultural heritage structures usually require the application of combined techniques to understand its structural behaviour. It is in this context, where the article present a set of procedures based on the dual combination of photogrammetric methodologies (image-based modelling and digital image correlation) and the finite element method to understand the structural behaviour of these structures. Through the interpretation of the different obtained products, by the defined approach, it is possible to estimate and evaluate the causes of the structural damage that the analysed infrastructure can suffer and also design subsequent restoration mechanisms, always from a perspective of minimal intrusion to the structure.This case of study aims to validate the methodology presented, using as an example a case of vernacular architecture (a dome) in Sejas de Aliste (Zamora, Spain).

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Section: Automatic Extraction and Matching Keypointsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non-Contact Photogrammetric Methodology to Evaluate the Structural Health of Historical Constructions

Sánchez-Aparicio

Villarino

Garcia-Gago

et al. 2015

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

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“…The great diversity of approaches today, along with their flexibility, place image-based procedures as a suitable solution for the analysis of constructions [3,9,12], materials [13,14], and pathologies [8].…”

Section: Image Based Approaches: Digital Image Correlation and Structmentioning

confidence: 99%

“…For further details on this methodology see [12]. Concerning the photogrammetric network a convergent protocol was used, combining a total of 32 cameras with high overlap (around 90%) and throwing a mean GSD (Ground Sample Distance) of 1.61 mm.…”

Section: Image-based Modelling: Structure From Motionmentioning

confidence: 99%

Photogrammetric, Geometrical, and Numerical Strategies to Evaluate Initial and Current Conditions in Historical Constructions: A Test Case in the Church of San Lorenzo (Zamora, Spain)

et al. 2016

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Identifying and quantifying the potential causes of damages to a construction and evaluating its current stability have become an imperative task in today's world. However, the existence of variables, unknown conditions and a complex geometry hinder such work, by hampering the numerical results that simulate its behavior. Of the mentioned variables, the following can be highlighted: (i) the lack of historical information; (ii) the mechanical properties of the material; (iii) the initial geometry and (iv) the interaction with other structures. Within the field of remote sensors, the laser scanner and photogrammetric systems have become especially valuable for construction analysis. Such sensors are capable of providing highly accurate and dense geometrical data with which to assess a building's condition. It is also remarkable, that the latter provide valuable radiometric data with which to identify the properties of the materials, and also evaluate and monitor crack patterns. Motivated by this, the present article investigates the potential offered by the combined use of photogrammetric techniques (DIC and SfM), as well as geometrical (NURBs and Hausdorff distance) and numerical strategies (FEM) to assess the origin of the damage (through an estimation of the initial conditions) and give an evaluation of the current stability (considering the deformation and the damage).

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“…Absolute orientation has been widely used in many applications, including registration, matching, etc. [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Absolute Orientation Based on Distance Kernel Functions

et al. 2016

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Abstract:The classical absolute orientation method is capable of transforming tie points (TPs) from a local coordinate system to a global (geodetic) coordinate system. The method is based only on a unique set of similarity transformation parameters estimated by minimizing the total difference between all ground control points (GCPs) and the fitted points. Nevertheless, it often yields a transformation with poor accuracy, especially in large-scale study cases. To address this problem, this study proposes a novel absolute orientation method based on distance kernel functions, in which various sets of similarity transformation parameters instead of only one set are calculated. When estimating the similarity transformation parameters for TPs using the iterative solution of a non-linear least squares problem, we assigned larger weighting matrices for the GCPs for which the distances from the point are short. The weighting matrices can be evaluated using the distance kernel function as a function of the distances between the GCPs and the TPs. Furthermore, we used the exponential function and the Gaussian function to describe distance kernel functions in this study. To validate and verify the proposed method, six synthetic and two real datasets were tested. The accuracy was significantly improved by the proposed method when compared to the classical method, although a higher computational complexity is experienced.

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A Photogrammetric and Computer Vision-Based Approach for Automated 3D Architectural Modeling and Its Typological Analysis

Cited by 20 publications

References 24 publications

Non-Contact Photogrammetric Methodology to Evaluate the Structural Health of Historical Constructions

Non-Contact Photogrammetric Methodology to Evaluate the Structural Health of Historical Constructions

Photogrammetric, Geometrical, and Numerical Strategies to Evaluate Initial and Current Conditions in Historical Constructions: A Test Case in the Church of San Lorenzo (Zamora, Spain)

Absolute Orientation Based on Distance Kernel Functions

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