Anatomical 3D Modeling Using IR Sensors and Radiometric Processing Based on Structure from Motion: Towards a Tool for the Diabetic Foot Diagnosis

Medical infrared thermography has proven to be a complementary procedure to physiological disorders, such as the diabetic foot. However, the technique remains essentially based on 2D images that display partial anatomy. In this context, a 3D thermal model provides improved visualization and faster inspection. This paper presents a 3D reconstruction method associated with temperature information. The proposed solution is based on a Structure from Motion and Multi-view Stereo approach, exploiting a set of multimodal merged images. The infrared images were obtained by automatically processing the radiometric data to remove thermal interferences, segment the RoI, enhance false-color contrast, and for multimodal co-registration under a controlled environment and a ∆T < 2.6% between the RoI and thermal interferences. The geometric verification accuracy was 77% ± 2%. Moreover, a normalized error was adjusted per sample based on a linear model to compensate for the curvature emissivity (error ≈ 10% near to 90°). The 3D models were displayed with temperature information and interaction controls to observe any point of view. The temperature sidebar values were assigned with information retrieved only from the RoI. The results have proven the feasibility of the 3D multimodal construction to be used as a promising tool in the diagnosis of diabetic foot.

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Focal transformation, an imaging concept for signal restoration and noise removal

Geophysics ◽

10.1190/1.2356996 ◽

2006 ◽

Vol 71 (6) ◽

pp. A55-A59 ◽

Cited By ~ 36

Author(s):

A. J. Berkhout ◽

D. J. Verschuur

Keyword(s):

Input Data ◽

Noise Removal ◽

Point Of View ◽

Data Interpolation ◽

Signal Restoration ◽

Physical Point ◽

Seismic Processing ◽

Promising Tool ◽

Focal Area ◽

Forward Operator

Interpolation of data beyond aliasing limits and removal of noise that occurs within the seismic bandwidth are still important problems in seismic processing. The focal transform is introduced as a promising tool in data interpolation and noise removal, allowing the incorporation of macroinformation about the involved wavefields. From a physical point of view, the principal action of the forward focal operator is removing the spatial phase of the signal content from the input data, and the inverse focal operator restores what the forward operator has removed. The strength of the method is that in the transformed domain, the focused signals at the focal area can be separated from the dispersed noise away from the focal area. Applications of particular interest in preprocessing are interpolation of missing offsets and reconstruction of signal beyond aliasing. The latter can be seen as the removal of aliasing noise.

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Management of diabetic foot and ankle ulcers from the orthopaedic point of view

Foot and Ankle Surgery ◽

10.1016/j.fas.2016.05.188 ◽

2016 ◽

Vol 22 (2) ◽

pp. 75-76

Author(s):

H. El-Mowafi ◽

Yasser Kandil ◽

A. El-Hawary

Keyword(s):

Diabetic Foot ◽

Point Of View ◽

Foot And Ankle

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Structure-from-Motion, Capturing Geological Samples v1

10.17504/protocols.io.bwmspc6e ◽

2021 ◽

Author(s):

Madalyn Massey

Keyword(s):

United States ◽

Structure From Motion ◽

3D Models ◽

Geological Survey ◽

United States Geological Survey ◽

Geological Samples ◽

Motion Capturing ◽

2D Images

Structure-from-Motion (SfM) is a photogrammetry process that creates 3D models from overlapping 2D images. This protocol focuses on its application related to geological and geophysical samples. The samples includes fossil, hand samples and rocks. This is a recommended practice to be used later for the publication on United States Geological Survey website.

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Ecosystem–atmosphere exchange of microorganisms in a Mediterranean grassland: new insights into microbial flux through a combined experimental-modeling approach

10.5194/acp-2017-527 ◽

2017 ◽

Cited By ~ 1

Author(s):

Federico Carotenuto ◽

Teodoro Georgiadis ◽

Beniamino Gioli ◽

Christel Leyronas ◽

Cindy E. Morris ◽

...

Keyword(s):

Deterministic Model ◽

Point Of View ◽

Cloud Formation ◽

Training Dataset ◽

Promising Tool ◽

Biological Aerosols ◽

Ice Nuclei ◽

Lack Of Information ◽

Bacteria And Fungi ◽

The Impact

Abstract. Microbial aerosols (mainly composed by bacterial and fungal cells), may constitute up to 74 % of the total aerosol volume. These biological aerosols are relevant not only from the point of view of the dispersion of pathogenic species, but also due to the potential geochemical implications. Some bacteria and fungi may, in fact, serve as cloud condensation or ice nuclei, potentially affecting cloud formation and precipitation and are active at higher temperatures compared to their, much more intensively studied, inorganic counterparts. Simulations of the impact of microbial aerosols on climate are still hindered by the lack of information regarding their emissions from ground sources. This work tackles this knowledge gap by (i) applying a rigorous micrometeorological approach to the estimation of microbial net fluxes above a Mediterranean grassland and (ii) developing a deterministic model to estimate these emissions on the basis of a few easily recovered meteorological parameters (the PLAnET model). The grassland itself is characterized by an abundance of positive net microbial fluxes and the model proves to be a promising tool capable of capturing the day-to-day variability in microbial fluxes with a relatively small bias and sufficient accuracy. PLAnET is still in its infancy and will benefit from future campaigns extending the available training dataset as well as the inclusion of ever more complex and critical phenomena affecting the release of microbial aerosol (such as rainfall). The model itself is also adaptable as an emission module for dispersion and chemical transport models, allowing to further explore the impact of microbial aerosols on the atmosphere and climate.

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EVALUATION OF MODEL RECOGNITION FOR GRAMMAR-BASED AUTOMATIC 3D BUILDING MODEL RECONSTRUCTION

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xli-b4-63-2016 ◽

2016 ◽

Vol XLI-B4 ◽

pp. 63-69

Author(s):

Qian Yu ◽

Petra Helmholz ◽

David Belton

Keyword(s):

Laser Scanning ◽

Quality Evaluation ◽

Evaluation Process ◽

3D Models ◽

Point Of View ◽

Three Dimensions ◽

Public And Private ◽

Building Models ◽

Evaluation Point ◽

Increasing Demand

In recent years, 3D city models are in high demand by many public and private organisations, and the steadily growing capacity in both quality and quantity are increasing demand. The quality evaluation of these 3D models is a relevant issue both from the scientific and practical points of view. In this paper, we present a method for the quality evaluation of 3D building models which are reconstructed automatically from terrestrial laser scanning (TLS) data based on an attributed building grammar. The entire evaluation process has been performed in all the three dimensions in terms of completeness and correctness of the reconstruction. Six quality measures are introduced to apply on four datasets of reconstructed building models in order to describe the quality of the automatic reconstruction, and also are assessed on their validity from the evaluation point of view.

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Olomouc - Possibilities of Geovisualization of the Historical City

Geoinformatics FCE CTU ◽

10.14311/gi.6.33 ◽

2011 ◽

Vol 6 ◽

pp. 267-274

Author(s):

Stanislav Popelka ◽

Alžběta Brychtová

Keyword(s):

Spatial Data ◽

Large Scale ◽

18Th Century ◽

3D Visualization ◽

3D Models ◽

Google Earth ◽

Point Of View ◽

World Heritage Site ◽

Historical Maps ◽

The City

Olomouc, nowadays a city with 100,000 inhabitants, has always been considered as one of the most prominent Czech cities. It is a social and economical centre, which history started just about the 11th century. The present appearance of the city has its roots in the 18th century, when the city was almost razed to the ground after the Thirty years’ war and a great fire in 1709. After that, the city was rebuilt to a baroque military fortress against Prussia army. At the beginning of the 20th century the majority of the fortress was demolished. Character of the town is dominated by the large number of churches, burgher’s houses and other architecturally significant buildings, like a Holy Trinity Column, a UNESCO World Heritage Site. Aim of this project was to state the most suitable methods of visualization of spatial-temporal change in historical build-up area from the tourist’s point of view, and to design and evaluate possibilities of spatial data acquisition. There are many methods of 2D and 3D visualization which are suitable for depiction of historical and contemporary situation. In the article four approaches are discussed comparison of historical and recent pictures or photos, overlaying historical maps over the orthophoto, enhanced visualization of historical map in large scale using the third dimension and photorealistic 3D models of the same area in different ages. All mentioned methods were geolocalizated using the Google Earth environment and multimedia features were added to enhance the impression of perception. Possibilities of visualization, which were outlined above, were realized on a case study of the Olomouc city. As a source of historical data were used rapport plans of the bastion fortress from the 17th century. The accuracy of historical maps was confirmed by cartometric methods with use of the MapAnalyst software. Registration of the spatial-temporal changes information has a great potential in urban planning or realization of reconstruction and particularly in the propagation of the region and increasing the knowledge of citizens about the history of Olomouc.

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EVALUATION OF MODEL RECOGNITION FOR GRAMMAR-BASED AUTOMATIC 3D BUILDING MODEL RECONSTRUCTION

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xli-b4-63-2016 ◽

2016 ◽

Vol XLI-B4 ◽

pp. 63-69 ◽

Cited By ~ 2

Author(s):

Qian Yu ◽

Petra Helmholz ◽

David Belton

Keyword(s):

Laser Scanning ◽

Quality Evaluation ◽

Evaluation Process ◽

3D Models ◽

Point Of View ◽

Three Dimensions ◽

Public And Private ◽

Building Models ◽

Evaluation Point ◽

Increasing Demand

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A mathematical model for production routing of mechanical engineering products

Proceedings of Irkutsk State Technical University ◽

10.21285/1814-3520-2021-3-332-341 ◽

2021 ◽

Vol 25 (3) ◽

pp. 332-341

Author(s):

I. V. Fokin ◽

A. N. Smirnov

Keyword(s):

Mathematical Model ◽

Mechanical Engineering ◽

Complex Geometry ◽

3D Models ◽

Point Of View ◽

Structural Elements ◽

Production Environment ◽

Automatic Mode ◽

The Cost ◽

Production Routing

The aim was to create a mathematical model describing the development of a production (shop-to-shop) routing of mechanical engineering products based on a 3D model and allowing the cost of the final product to be reduced. The developed mathematical model was simulated based on 3D models designed in the Siemens NX system, which were subsequently imported into the *stp format and recognized by a designed module written in the Phyton programming language. The factors of the production environment affecting the formation of the production routing of mechanical engineering products were determined. A diagram of the algorithm for the “constructive element - technological operation - means of technological equipment (equipment-tool)” relationship was developed. Based on the results of testing the developed mathematical model, the use of neural networks as a tool for the implementation and automation of the work was found advantageous as compared to the standard scheme of work of a process engineer when developing a production routing of mechanical engineering products. These advantages include a decrease in the time for the development of a routing and the cost of the final product. The developed model has a practical limitation consisting in a rather complex geometry of some structural elements of a unit, which impedes the development of an algorithm for recognizing their structure. The use of a neural network prototype in automatic mode is advisable for relatively simple parts (including a flange, hole, chamfer and rounding). However, since the number of simple units from the recognition point of view amounts to about 40% among the nomenclature of manufactured units, the reduction in the development time of the technological process in comparison with the conventional approach comprises only 10–25% of the total time of technological preparation.

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Video footage from drones for Structure-from-Motion photogrammetry – A practical and rapid assessment method for large wood accumulations in rivers?

10.5194/egusphere-egu21-4966 ◽

2021 ◽

Author(s):

Gabriel Spreitzer ◽

Isabella Schalko ◽

Robert M. Boes ◽

Volker Weitbrecht

Keyword(s):

Structure From Motion ◽

Estimation Error ◽

Rapid Assessment ◽

3D Models ◽

Assessment Method ◽

Large Wood ◽

Video Footage ◽

Rapid Assessment Method ◽

Complex Dimensions ◽

Reliable Assessment

<p>Large wood (LW) and logjams are common and important elements in rivers, yet knowledge about composition, volume and porosity of wooden structures in streams is still limited. Most studies apply a rectangular approach (manually measuring a rough bounding-box of the logjam) to estimate LW accumulation volume and porosity. However, this method cannot capture the complex dimensions of LW accumulations and may introduce an additional human-made estimation error. Furthermore, there is a risk of accidents involved when obtaining manual measurements on logjams in the field. Drones represent a powerful tool in geosciences, yet their potential has not been fully exploited to date. The application of non-intrusive quantification methods is widely available in geosciences and recently also increasing for research related to LW in rivers. Recent studies demonstrated that drone imagery and Structure-from-Motion photogrammetry provide true replicates of prototype logjams in form of 3D-models. In the present study we used video footage of a LW accumulation, obtained via standard drone (DJI Phantom 4 Pro+), to evaluate its potential for a rapid assessment of geometric measures (e.g. length, width, height, volume) of the LW accumulation. The gained results from the 4k drone video footage (4,096 x 2,160 pixels) were scaled solely from the obtained video georeferencing data and verified with a properly scaled 3D-accumulation-model that has been generated from high resolution drone imagery (5,472 x 3,648 pixels). We are interested in the level of detail and accuracy, that can be obtained from georeferenced drone footage, and aim to introduce a practical and more reliable assessment method as a state-of-the-art alternative to the traditionally applied rectangular approach. Our study may be of interest for river managers and engineers to rapidly and safely assess LW accumulation volume and porosity in the field.</p>

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Integrated Multi-Scalar Approach for 3D Cultural Heritage Acquisitions

Geospatial Intelligence ◽

10.4018/978-1-5225-8054-6.ch021 ◽

2019 ◽

pp. 443-468

Author(s):

Michele Russo ◽

Anna Maria Manferdini

Keyword(s):

Cultural Heritage ◽

Structure From Motion ◽

Gold Standard ◽

3D Models ◽

Qualitative And Quantitative ◽

Digital Representations ◽

Architectural Survey ◽

Quantitative Evaluations

This contribution presents the results of investigations on the reliability of techniques based on the Structure from Motion approach used for 3D digitizations of build heritage. In particular, we tested the performances of different SfM technologies within an architectural survey context and we developed a procedure with the purpose of easing the work of surveyors called to restore digital representations of artifacts at different scales of complexity. The restored 3D models were compared among each other and with a gold standard acquisition. These analysis led to qualitative and quantitative evaluations and to considerations on times and skills required by all tested technologies. In this work strengths and weaknesses are highlighted and the integration of different technologies is presented, as it represents the best solution in many and recurrent multi-scalar contexts.

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