Relevant bibliographies by topics / 3D analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic '3D analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "3D analysis"

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Albero López, Carolina, and Jacint Soler Matutes. "Open Regionalism versus Discriminatory Trading Agreements: Institutional and Empirical Analysis." Asean Economic Bulletin 14, no. 3 (March 1998): 253–72. http://dx.doi.org/10.1355/ae14-3d.

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Fu, Bianzhu, and Michael A. Gribelyuk. "3D analysis of semiconductor devices: A combination of 3D imaging and 3D elemental analysis." Journal of Applied Physics 123, no. 16 (April 28, 2018): 161554. http://dx.doi.org/10.1063/1.5010186.

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Tsuruta, Hideki, Kimiaki Yoshida, Hiroyuki Toda, Yoshio Suzuki, and Akihisa Takeuchi. "OS4-8 3D Image Analysis of Creep Void in 9Cr Steel Welded Joint(3D/4D image-based analyses and simulations 3,OS4 3D/4D image-based analyses and simulations,MEASUREMENT METHODS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 50. http://dx.doi.org/10.1299/jsmeatem.2015.14.50.

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Saeki, Takuya, Hiroyuki Toda, Shohei YABU, Kentaro Uesugi, and Akihisa Takeuchi. "OS4-11 3D/4D Analysis of Void Nucleation Behavior in Dual Phase Steel(3D/4D image-based analyses and simulations 3,OS4 3D/4D image-based analyses and simulations,MEASUREMENT METHODS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 53. http://dx.doi.org/10.1299/jsmeatem.2015.14.53.

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Blateyron, François, and Antony Caulcutt. "3D Imaging and Analysis." Imaging & Microscopy 8, no. 3 (September 2006): 42–43. http://dx.doi.org/10.1002/imic.200790094.

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Kuwazuru, Osamu, Masaki Teranishi, Keigo Matsumura, Masakazu Kobayashi, and Hiroyuki Toda. "OS4-7 3D Image-based Micromechanical Analysis of Cast Aluminum Alloy under Cyclic Loading(3D/4D image-based analyses and simulations 2,OS4 3D/4D image-based analyses and simulations,MEASUREMENT METHODS)." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2015.14 (2015): 49. http://dx.doi.org/10.1299/jsmeatem.2015.14.49.

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Kim, Mina, and Jungjin Lee. "Analysis of Manual 3D Projection Mapping Processes Using 3D Mesh Models." Journal of the Korea Computer Graphics Society 29, no. 3 (July 2023): 1–12. http://dx.doi.org/10.15701/kcgs.2023.29.3.1.

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KAWAGUCHI, Yuki. "Utilization of 3D Annotated Model for 3D Tolerance Analysis." Journal of the Japan Society for Precision Engineering 83, no. 8 (2017): 737–40. http://dx.doi.org/10.2493/jjspe.83.737.

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Lee, Eun-Haeng, Jae-Min Kim, and Choon-Gyo Seo. "Large-scale 3D SSI Analysis using KIESSI-3D Program." Journal of the Computational Structural Engineering Institute of Korea 26, no. 6 (December 31, 2013): 439–45. http://dx.doi.org/10.7734/coseik.2013.26.6.439.

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Lmaati, Elmustapha Ait, Ahmed El Oirrak, and M. N. Kaddioui. "A 3D search engine based on 3D curve analysis." Signal, Image and Video Processing 4, no. 1 (November 4, 2008): 89–98. http://dx.doi.org/10.1007/s11760-008-0091-2.

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Dissertations / Theses on the topic "3D analysis"

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Chykeyuk, Kiryl. "Analysis of 3D echocardiography." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:823cd243-5d48-4ecc-90e7-f56d49145be8.

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Heart disease is the major cause of death in the developed world. Due to its fast, portable, low-cost and harmless way of imaging the heart, echocardiography has become the most frequent tool for diagnosis of cardiac function in clinical routine. However, visual assessment of heart function from echocardiography is challenging, highly operatordependant and is subject to intra- and inter observer errors. Therefore, development of automated methods for echocardiography analysis is important towards accurate assessment of cardiac function. In this thesis we develop new ways to model echocardiography data using Bayesian machine learning methods and concern three problems: (i) wall motion analysis in 2D stress echocardiography, (ii) segmentation of the myocardium in 3D echocardiography, and (iii) standard views extraction from 3D echocardiography. Firstly, we propose and compare four discriminative methods for feature extraction and wall motion classification of 2D stress echocardiography (images of the heart taken at rest and after exercise or pharmalogical stress). The four methods are based on (i) Support Vector Machines, (ii) Relevance Vector Machines, (iii) Lasso algorithm and Regularised Least Squares, (iv) Elastic Net regularisation and Regularised Least Squares. Although all the methods are shown to have superior performance to the state-of-the-art, one conclusion is that good segmentation of the myocardium in echocardiography is key for accurate assessment of cardiac wall motion. We investigate the application of one of the most promising current machine learning techniques, called Decision Random Forests, to segment the myocardium from 3D echocardiograms. We demonstrate that more reliable and ultrasound specific descriptors are needed in order to achieve the best results. Specifically, we introduce two sets of new features to improve the segmentation results: (i) LoCo and GloCo features with a local and a global shape constraint on coupled endoand epicardial boundaries, and (ii) FA features, which use the Feature Asymmetry measure to highlight step-like edges in echocardiographic images. We also reinforce the traditional features such as Haar and Rectangular features by aligning 3D echocardiograms. For that we develop a new registration technique, which is based on aligning centre lines of the left ventricles. We show that with alignment performance is boosted by approximately 15%. Finally, a novel approach to detect planes in 3D images using regression voting is proposed. To the best of our knowledge we are the first to use a one-step regression approach for the task of plane detection in 3D images. We investigate the application to standard views extraction from 3D echocardiography to facilitate efficient clinical inspection of cardiac abnormalities and diseases. We further develop a new method, called the Class- Specific Regression Forest, where class label information is incorporating into the training phase to reinforce the learning from semantically relevant to the problem classes. During testing the votes from irrelevant classes are excluded from voting to maximise the confidence of output predictors. We demonstrate that the Class-Specific Regression Random Forest outperforms the classic Regression Random Forest and produces results comparable to the manual annotations.
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Peppa, Maria Valasia. "Precision analysis of 3D camera." Thesis, KTH, Geodesi och geoinformatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-131457.

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Three dimensional mapping is becoming an increasingly attractive product nowadays. Many devices like laser scanner or stereo systems provide 3D scene reconstruction. A new type of active sensor, the Time of Flight (ToF) camera obtains direct depth observations (3rd dimensional coordinate) in a high video rate, useful for interactive robotic and navigation applications. The high frame rate combined with the low weight and the compact design of the ToF cameras constitute an alternative solution of the 3D measuring technology. However a deep understanding of the error involved in the ToF camera observations is essential in order to upgrade their accuracy and enhance the ToF camera performance. This thesis work addresses the depth error characteristics of the SR4000 ToF camera and indicates potential error models for compensating the impact. In the beginning of the work the thesis investigates the error sources, their characteristics and how they influence the depth measurements. In the practical part, the work covers the above analysis via experiments. Last, the work proposes simple methods in order to reduce the depth error so that the ToF camera can be used for high accuracy applications.   An overall result of the work indicates that the depth acquired by the Time of Flight (ToF) camera deviates several centimeters, specifically the SR4000 camera provides 35 cm error size for the working range of 1-8 m. After the error compensation the depth offset fluctuates 15cm within the same working range. The error is smaller when the camera is set up close to the test field than when it is further away.
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Amin, Syed Hassan. "Analysis of 3D face reconstruction." Thesis, Imperial College London, 2009. http://hdl.handle.net/10044/1/6163.

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This thesis investigates the long standing problem of 3D reconstruction from a single 2D face image. Face reconstruction from a single 2D face image is an ill posed problem involving estimation of the intrinsic and the extrinsic camera parameters, light parameters, shape parameters and the texture parameters. The proposed approach has many potential applications in the law enforcement, surveillance, medicine, computer games and the entertainment industries. This problem is addressed using an analysis by synthesis framework by reconstructing a 3D face model from identity photographs. The identity photographs are a widely used medium for face identi cation and can be found on identity cards and passports. The novel contribution of this thesis is a new technique for creating 3D face models from a single 2D face image. The proposed method uses the improved dense 3D correspondence obtained using rigid and non-rigid registration techniques. The existing reconstruction methods use the optical ow method for establishing 3D correspondence. The resulting 3D face database is used to create a statistical shape model. The existing reconstruction algorithms recover shape by optimizing over all the parameters simultaneously. The proposed algorithm simplifies the reconstruction problem by using a step wise approach thus reducing the dimension of the parameter space and simplifying the opti- mization problem. In the alignment step, a generic 3D face is aligned with the given 2D face image by using anatomical landmarks. The texture is then warped onto the 3D model by using the spatial alignment obtained previously. The 3D shape is then recovered by optimizing over the shape parameters while matching a texture mapped model to the target image. There are a number of advantages of this approach. Firstly, it simpli es the optimization requirements and makes the optimization more robust. Second, there is no need to accurately recover the illumination parameters. Thirdly, there is no need for recovering the texture parameters by using a texture synthesis approach. Fourthly, quantitative analysis is used for improving the quality of reconstruction by improving the cost function. Previous methods use qualitative methods such as visual analysis, and face recognition rates for evaluating reconstruction accuracy. The improvement in the performance of the cost function occurs as a result of improvement in the feature space comprising the landmark and intensity features. Previously, the feature space has not been evaluated with respect to reconstruction accuracy thus leading to inaccurate assumptions about its behaviour. The proposed approach simpli es the reconstruction problem by using only identity images, rather than placing eff ort on overcoming the pose, illumination and expression (PIE) variations. This makes sense, as frontal face images under standard illumination conditions are widely available and could be utilized for accurate reconstruction. The reconstructed 3D models with texture can then be used for overcoming the PIE variations.
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Deighton, M. J. "3D texture analysis in seismic data." Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/842764/.

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The use of hydrocarbons is ubiquitous in modern society, from fuel to raw materials. Seismic surveys now routinely produce large, volumetric representations of the Earth's crust. Human interpretation of these surveys plays an important part in locating oil and gas reservoirs, however it is a lengthy and time consuming process. Methods that provide semi-automated aid to the interpreter are highly sought after. In this research, texture is identified as a major cue to interpretation. A local gradient density method is then employed for the first time with seismic data to provide volumetric texture analysis. Extensive experiments are undertaken to determine parameter choices that provide good separation of seismic texture classes according to the Bhattacharya distance. A framework is then proposed to highlight regions of interest in a survey with high confidence based on texture queries by an interpreter. The interpretation task of seismic facies analysis is then considered and its equivalence with segmentation is established. Since the facies units may take a range of orientations within the survey, sensitivity of the analysis to rotation is considered. As a result, new methods based on alternative gradient estimation kernels and data realignment are proposed. The feature based method with alternative kernels is shown to provide the best performance. Achieving high texture label confidence requires large local windows and is in direct conflict with the need for small windows to identify fine detail. It is shown that smaller windows may be employed to achieve finer detail at the expense of label confidence. A probabilistic relaxation scheme is then described that recovers the label confidence whilst constraining texture boundaries to be smooth at the smallest scale. Testing with synthetic data shows reductions in error rate by up to a factor of 2. Experiments with seismic data indicate that more detailed structure can be identified using this approach.
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Rajpoot, Kashif. "Multi-view 3D Echocardiographic image analysis." Thesis, University of Oxford, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.510207.

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Spentzos, Agis. "CFD analysis of 3D dynamic stall." Thesis, University of Glasgow, 2005. http://theses.gla.ac.uk/1855/.

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Focusing on helicopter aerodynamics, it is known that the aerodynamic performance of the retreating side of a rotor disk is mainly dictated by the stall characteristics of the blade. Stall under dynamic conditions (Dynamic Stall) is the dominant phenomenon encountered on heavily loaded fast-flying rotors, resulting in an extra lift and excessive pitching moments. Dynamic stall (DS) can be idealised as the pitching motion of a finite wing and this is the focus of the present work which includes three main stages. At first, comparisons between available experimental data with CFD simulations were performed for 3D DS cases. This work is the first detailed CFD study of 3D Dynamic Stall and has produced results indicating that DS can be predicted and analysed using CFD. The CFD results were validated against all known experimental investigations. In addition, a comprehensive set of CFD results was generated and used to enhance our understanding of 3D DS. Straight, tapered and swept-tip wings of various aspect ratios were used at a range of Reynolds and Mach numbers and flow conditions. For all cases where experimental data were available effort was put to obtain the original data and process these in exactly the same ways as the CFD results. Special care was put to represent exactly the motion of the lifting surfaces, its geometry and the boundary conditions of the problem. Secondly, the evolution of the Ω-shaped DS vortex observed in experimental works as well as its interaction with the tip vortices were investigated. Both pitching and pitching/rotating blade conditions were considered. Finally, the potential of training a Neural network as a model for DS was assessed in an attempt to reduce the required CPU time for modelling 3D DS. Neural networks have a proven track record in applications involving pattern recognition but so far have seen little application in unsteady aerodynamics. In this work, two different NN models were developed and assessed in a variety of conditions involving DS. Both experimental and CFD data were used during these investigations. The dependence of the quality of the predictions of the NN on the choice of the training data was then assessed and thoughts towards the correct strategy behind this choice were laid out.
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Liu, Junjie. "3D laser scanner development and analysis." Thesis, Aberystwyth University, 2013. http://hdl.handle.net/2160/b3a1beca-3d92-48bc-945e-2e50b3e7755a.

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This PhD project is a collaboration between Smart Light Devices, Ltd. in Aberdeen and Aberystwyth University on the development of such 3D laser scanners with an ultimate aim to inspect the underwater oil and gas pipes or structure. At the end of this project, a workable and full functional 3D laser scanner is to be developed. This PhD project puts a particular emphasis on the engineering and implementation of the scanner according to real applications’ requirements. Our 3D laser scanner is based on the principle of triangulation and its high accuracy over a short range scanning. Accurate 3D data can be obtained from a triangle between the scanner, camera lens, laser source, and the object being scanned. Once the distance between the scanner camera lens and laser source (stereo baseline) is known and the laser projection angle can be measured by the goniometer, all the X, Y,Z coordinates of the object surface can be obtained through trigonometry. This 3D laser scanner development involves a lot of issues and tasks including image noise removal, laser peak detection, corner detection, camera calibration and 3D reconstruction. These issues and tasks have been addressed, analysed and improved during the PhD period. Firstly, the Sparse Code Shrinkage (SCS) image de-noise is implemented, since it is one of the most suitable de-noising methods for our laser images with dark background and white laser stripe. Secondly, there are already plenty of methods for corner and laser peak detection, it is necessary to compare and evaluate which is the most suitable for our 3D laser scanner. Thus, comparative studies are carried out and their results are presented in this thesis. Thirdly, our scanner is based on laser triangulation, in this case, laser projection angle α and baseline distance D from the centre of the camera lens to laser source plays a crucial role in 3D reconstruction. However, these two parameters are hard to measure directly, and there are no particular tools designed for this purpose. Thus, a new approach is proposed in this thesis to estimate them which combines camera calibration results with the precise linear stage. Fourthly, it is very expensive to customize an accurate positional pattern for camera calibration, due to budget limit, this pattern is printed by a printer or even painted on a paper or white board which is inaccurate and contains errors in absolute distance and location. An iterative camera calibration method is proposed. It can compensate up to 10% error and the calibration parameters remain stable. Finally, in the underwater applications, the light travel angle is changed from water to air which makes the normal calibration method less accurate. Hence, a new approach is proposed to compensate between the estimate and real distance in 3D reconstruction with normal calibration parameters. Experimental results show the proposed methods reduce the distance error in 3D down to ±0.2mm underwater. Overall, the developed scanning systems have been successfully applied in several real scanning and 3D modelling projects such as mooring chain, underwater pipeline surface and reducer. Positive feedback has been received from these projects, the scanning results satisfy the resolution and accuracy requirements.
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Thompson, Darren. "3D image analysis of foot wounds." Thesis, Ulster University, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.646858.

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Foot wounds are a debilitating and potentially fatal consequence of diabetes. Assessment of foot wounds in clinical or research settings is often based on subjective human judgement which does not involve quantitative measurement. When measurement is conducted, it takes the form of ruler-based estimations of length and width to approximate perimeter or area. To monitor wound healing and make informed treatment decisions, clinicians require accurate and appropriate measurements of wound parameters. Effective wound assessment requires imaging and software techniques which enable objective identification of wound tissues and three-dimensional measurements of wound size. Pilot classification studies were carried out using a selection of six stock wound images. Ground truth was provided by a specialist practitioner in podiatry. Three supervised classifiers were compared. Maximum likelihood was found to be the most suitable for wound classification. Performance of the supervised Maximum likelihood (MLC), unsupervised Expectation Maximisation (EM) algorithm and a hybrid MLC-EM method were compared. No method was found to perform significantly better than others. Context classification was implemented via probabilistic relaxation labelling. It was found that classification accuracy was typically improved by 0.5 - 1.5 %. A method of including depth information in the classification process was proposed and evaluated. Simulated 3D wound volumes were imaged and combined with simulated tissue colours sampled from real images. Classification using depth improved accuracy at low weightings when included in the Maximum likelihood classifier. To facilitate the further development and evaluation of novel wound assessment algorithms, a set of clinical foot wound data was imaged using 3D stereophotogrammetry. A group of clinicians assessed the data to identify the tissues contained within each wound image. The level of agreement between them was evaluated. Supervised, unsupervised and hybrid classification algorithms were also used to classify the data and the results were evaluated by comparison to the group of clinicians. Novel methods of measuring the volume and surface area of wounds were developed and validated using simulated models before being applied to wound data. The results of tissue classification were plotted against the results of volume measurement in order to observe any trends in the healing process. Supervised Maximum Likelihood classification was found to produce results which agreed with clinicians to approximately the same level as they agreed with each other, indicating that automated classification may have a future role in wound research and clinical diagnosis. The supervised method resulted in agreement with clinicians of 75.5%, which was significantly higher than agreement for unsupervised or hybrid methods, at 65.9% and 64.6% respectively. The inclusion of tissue depth in the classification progress produced some positive results. The surface area and volume measurement methods were found to be accurate for all but the smallest of wound sizes and capable of tracking changes in real wounds.
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KING-NYGREN, ELIAS. "Analysis of Complex 3D-Concrete Casting." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299789.

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Concrete is the second most used material in the world and is primarily used within the construction industry. It is however also used for making decorative and functional smaller products within various industries. Manufacturing with concrete can be done with different manufacturing techniques, the most common technique being concrete casting in molds. This project was conducted at Arclight AB in Stockholm, a company on the verge of starting production of molds for casting concrete products. With many different manufacturing techniques at their disposal, it is however difficult for them to know which manufacturing technique should be used for which type of mold. The goal of this project is to compare the available manufacturing techniques at Arclight and see which are most suitable for mold manufacturing. The background research and preparation resulted in three segments of the casting process which needed to be analyzed: choice of concrete, choice post-processing technique, and choice of manufacturing technique. Results from the trails of these three segments gave invaluable information for the project. Concrete trails resulted in a recommendation of a concrete with high compression strength and high water content to make the concrete viscous and flow easily into the mold. Post-processing trials resulted in different optimal post-processing techniques based on the mold material and manufacturing technique. Manufacturing trails gave in-depth information on processing larger molds and the potential problems associated with casting complex large concrete products. The final result of the project is a spreadsheet which recommends an optimal manufacturing technique based on the geometry type and number of products to be cast. Maximum cost per product, maximum machine time for manufacturing and maximum total production time for the concrete products are also stated to find the optimal manufacturing technique for each specific concrete casting project. Before using this spreadsheet as a basis for manufacturing, it should be formatted for easier use. Additional tests with applying epoxy and polyurethane resin for post-processing molds should be conducted, in addition to testing materials for manufacture of master molds for vacuum forming.
Betong är det näst mest använda råmaterialet i världen och används primärt inom byggindustrin. Det används även för tillverkning av estetiska och funktionella mindre produkter inom andra industrier. Betongprodukter kan tillverkas med flera olika tillverkningstekniker, där den vanligaste är gjutning av betong i gjutformar. Detta projekt var utfört hos Arclight AB i Stockholm, ett företag som är i början av att starta produktion av gjutformar för gjutning av betongprodukter. Med så många olika tillverkningstekniker hos företaget är det svårt att veta vilken tillverkningsteknik som är bäst lämpad för vilken typ av gjutform. Målet med detta projekt är att jämföra de olika tillverkningstekniker Arclight har och se vilka är mest lämpade för tillverkning av gjutformar. Bakgrundsforskningen och förberedandet resulterade i tre segment av gjutprocessen som behövde analyseras; val av betong, val av ytbehandlingsteknik, och val av tillverkningsteknik. Testerna inom dessa tre segment gav ovärderlig information för projektet. Resultatet av betongtesterna var en rekommendation av betong med hög tryckhållfasthet och en stor mängd vatten i betongen för lättare hällning i gjutformen. Resultatet av ytbehandlingstesterna var olika optimala ytbehandlingar beroende på material för gjutformen, samt tillverkningsteknik. Resultatet av tillverkningstesterna gav information om stora gjutformar bäst hanteras och eventuella problem associerade med att gjuta stora komplexa betongprodukter. Slutgiltiga resultatet av projektet är ett kalkylblad vilket rekommenderar optimala tillverkningsmetoden baserat på geometritypen av produkten som ska gjutas samt antalet produkter att tillverka. Maximal kostnad per produkt, maximal maskintid för tillverkning och maximal total tillverkningstid för produktion av betongprodukterna bestäms även för att finna optimala tillverkningstekniken för varje specifikt betonggjutningsprojekt. Innan detta kalkylark används för tillverkning borde det formateras så det är mer användarvänligt. Ytterligare ytbehandlingstester med epoxyresin och polyuretanresin bör göras på gjutformar, samt även att testa material för tillverkning av formverktyg för vakumforming.
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Hu, Guosheng. "Face analysis using 3D morphable models." Thesis, University of Surrey, 2015. http://epubs.surrey.ac.uk/808011/.

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Face analysis aims to extract valuable information from facial images. One effective approach for face analysis is the analysis by synthesis. Accordingly, a new face image synthesised by inferring semantic knowledge from input images. To perform analysis by synthesis, a genera- tive model, which parameterises the sources of facial variations, is needed. A 3D Morphable Model (3DMM) is commonly used for this purpose. 3DMMs have been widely used for face analysis because the intrinsic properties of 3D faces provide an ideal representation that is immune to intra-personal variations such as pose and illumination. Given a single facial input image, a 3DMM can recover 3D face (shape and texture) and scene properties (pose and illumination) via a fitting process. However, fitting the model to the input image remains a challenging problem. One contribution of this thesis is a novel fitting method: Efficient Stepwise Optimisation (ESO). ESO optimises sequentially all the parameters (pose, shape, light direction, light strength and texture parameters) in separate steps. A perspective camera and Phong reflectance model are used to model the geometric projection and illumination respectively. Linear methods that are adapted to camera and illumination models are proposed. This generates closed-form solu- tions for these parameters, leading to an accurate and efficient fitting. Another contribution is an albedo based 3D morphable model (AB3DMM). One difficulty of 3DMM fitting is to recover the illumination of the 2D image because the proportion of the albedo and shading contributions in a pixel intensity is ambiguous. Unlike traditional methods, the AB3DMM removes the illumination component from the input image using illumination normalisation methods in a preprocessing step. This image can then be used as input to the AB3DMM fitting that does not need to handle the lighting parameters. Thus, the fitting of the AB3DMM becomes easier and more accurate. Based on AB3DMM and ESO, this study proposes a fully automatic face recognition (AFR) system. Unlike the existing 3DMM methods which assume the facial landmarks are known, our AFR automatically detects the landmarks that are used to initialise our fitting algorithms. Our AFR supports two types of feature extraction: holistic and local features. Experimental results show our AFR outperforms state-of-the-art face recognition methods.
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Books on the topic "3D analysis"

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Laga, Hamid, Yulan Guo, Hedi Tabia, Robert B. Fisher, and Mohammed Bennamoun, eds. 3D Shape Analysis. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2019. http://dx.doi.org/10.1002/9781119405207.

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Liu, Shan, Min Zhang, Pranav Kadam, and C. C. Jay Kuo. 3D Point Cloud Analysis. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89180-0.

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Zhang, Zhengyou, and Olivier Faugeras. 3D Dynamic Scene Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-58148-9.

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Nail, Fatkullin, ed. NMR, 3D analysis, photopolymerization. Berlin: Springer, 2004.

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Liu, Yonghuai, Nick Pears, Paul L. Rosin, and Patrik Huber, eds. 3D Imaging, Analysis and Applications. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44070-1.

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Pears, Nick, Yonghuai Liu, and Peter Bunting, eds. 3D Imaging, Analysis and Applications. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4063-4.

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Yonghuai, Liu, Bunting Peter, and SpringerLink (Online service), eds. 3D Imaging, Analysis and Applications. London: Springer London, 2012.

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Institute, Environmental Systems Research, ed. ArcView 3D analyst: 3D surface creation, visualization and analysis. Redlands,CA: ESRI, 1997.

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Ticar, Johanna Maria. 3D Analysis of the Myocardial Microstructure. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-11424-4.

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Weinmann, Martin. Reconstruction and Analysis of 3D Scenes. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29246-5.

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Book chapters on the topic "3D analysis"

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Atzpadin, Nicole, and Jane Mulligan. "Stereo Analysis." In 3D Videocommunication, 115–32. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470022736.ch7.

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Lang, Robert J. "3D Analysis." In Twists, Tilings, and Tessellations, 605–48. Boca Raton : CRC Press, 2018.: A K Peters/CRC Press, 2017. http://dx.doi.org/10.1201/9781315157030-9.

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Haftendorn, Dörte, Dieter Riebesehl, and Hubert Dammer. "Analysis 3D." In Höhere Mathematik sehen und verstehen, 223–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-62577-4_3.

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Dell’Unto, Nicolò, and Giacomo Landeschi. "3D visibility analysis." In Archaeological 3D GIS, 96–108. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003034131-7.

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Toriya, Hiroshi, and Hiroaki Chiyokura. "Solid Models and Structure Analysis." In 3D CAD, 255–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-45729-6_14.

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Schwab, Markus, and Peter Noll. "3D Audio Capture and Analysis." In 3D Videocommunication, 175–92. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470022736.ch10.

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Houlding, Simon W. "Spatial Analysis Techniques." In 3D Geoscience Modeling, 171–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-79012-6_10.

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Saguet, Pierre. "3D Nodes." In Numerical Analysis in Electromagnetics, 29–84. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118562352.ch2.

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Haslwanter, Thomas. "Analysis of 3-D Movement Recordings." In 3D Kinematics, 85–98. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75277-8_6.

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Weinmann, Martin. "3D Scene Analysis." In Reconstruction and Analysis of 3D Scenes, 141–224. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29246-5_6.

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Conference papers on the topic "3D analysis"

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Stiefs, Dirk, Thilo Gross, Ezio Venturino, and Ulrike Feudel. "Computing 3D Bifurcation Diagrams." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS: International Conference on Numerical Analysis and Applied Mathematics 2008. American Institute of Physics, 2008. http://dx.doi.org/10.1063/1.2991095.

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Berretti, Stefano, Alberto Del Bimbo, Pietro Pala, and Francisco Jose Silva Mata. "Using Geodesic Distances for 2D-3D and 3D-3D Face Recognition." In 14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007). IEEE, 2007. http://dx.doi.org/10.1109/iciapw.2007.44.

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Göhnert, Tilman, Sabrina Ziebarth, Henrik Detjen, Tobias Hecking, and H. Ulrich Hoppe. "3D DynNetVis." In ASONAM '15: Advances in Social Networks Analysis and Mining 2015. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2808797.2808798.

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Hicks, M. A., J. Chen, and W. A. Spencer. "Influence of spatial variability on 3D slope failures." In RISK ANALYSIS 2008. Southampton, UK: WIT Press, 2008. http://dx.doi.org/10.2495/risk080331.

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Amin, S. Hassan, and Duncan Gillies. "Analysis of 3D Face Reconstruction." In 14th International Conference on Image Analysis and Processing (ICIAP 2007). IEEE, 2007. http://dx.doi.org/10.1109/iciap.2007.4362813.

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Blake, A., and C. Marinos. "Analysis of 3D Texture." In Alvey Vision Conference 1988. Alvey Vision Club, 1988. http://dx.doi.org/10.5244/c.2.17.

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van Borselen, R., and B. Danielsen. "3D Multiple Prediction Analysis." In 67th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2005. http://dx.doi.org/10.3997/2214-4609-pdb.1.p702.

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Hui Wang, Christian T. Stoeck, Sebastian Kozerke, and Amir A. Amini. "Analysis of 3D cardiac deformations with 3D SinMod." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6610518.

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Li Cui, Ying Li, Dong Xu, and Hua Li. "Fractal scale descriptors based on 3d wavelet moments for 3d objects." In International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07. IEEE, 2007. http://dx.doi.org/10.1109/icwapr.2007.4421615.

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Žurauskas, M., I. M. Dobbie, and M. J. Booth. "Adaptive Optics for 3D Structured Illumination Fluorescence Microscopy." In Adaptive Optics: Analysis, Methods & Systems. Washington, D.C.: OSA, 2018. http://dx.doi.org/10.1364/aoms.2018.ow2j.7.

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Reports on the topic "3D analysis"

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Aaron J. Pawel and Dr. George L. Mesina. Uncertainty Analysis for RELAP5-3D. Office of Scientific and Technical Information (OSTI), August 2011. http://dx.doi.org/10.2172/1042350.

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Alexandra E Gertman and Dr. George L Mesina. Uncertainty Analysis of RELAP5-3D. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1056002.

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Duan, Ye. 3D Facial Pattern Analysis for Autism. Fort Belvoir, VA: Defense Technical Information Center, July 2009. http://dx.doi.org/10.21236/ada511998.

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Duan, Ye. 3D Facial Pattern Analysis for Autism. Fort Belvoir, VA: Defense Technical Information Center, July 2010. http://dx.doi.org/10.21236/ada546221.

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Huang, Haohang, Jiayi Luo, Kelin Ding, Erol Tutumluer, John Hart, and Issam Qamhia. I-RIPRAP 3D Image Analysis Software: User Manual. Illinois Center for Transportation, June 2023. http://dx.doi.org/10.36501/0197-9191/23-008.

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Abstract:
Riprap rock and aggregates are commonly used in various engineering applications such as structural, transportation, geotechnical, and hydraulic engineering. To ensure the quality of the aggregate materials selected for these applications, it is important to determine their morphological properties such as size and shape. There have been many imaging approaches developed to characterize the size and shape of individual aggregates, but obtaining 3D characterization of aggregates in stockpiles at production or construction sites can be a challenging task. This research study introduces a new approach based on deep learning techniques that combines three developed research components: field 3D reconstruction procedures, 3D stockpiles instance segmentation, and 3D shape completion. The approach is designed to reconstruct aggregate stockpiles from multiple images, segment the stockpile into individual instances, and predict the unseen sides of each instance (particle) based on the partially visible shapes. The approach was validated using ground-truth measurements and demonstrated satisfactory algorithm performance in capturing and predicting the unseen sides of aggregates. For better user experience, the integrated approach has been implemented into a software application named “I-RIPRAP 3D,” with a user-friendly graphical user interface (GUI). This stockpile aggregate analysis approach is envisioned to provide efficient field evaluation of aggregate stockpiles by offering convenient and reliable solutions for on-site quality assurance and quality control tasks of riprap rock and aggregate stockpiles. This document provides information for users of the I-RIPRAP 3D software to make the best use of the software’s capabilities.
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Williams, Michelle. Data Analysis Final Project: 3D printed rock analysis using Python. Office of Scientific and Technical Information (OSTI), June 2019. http://dx.doi.org/10.2172/1762647.

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Greisser, Arthur F. Analysis catalog for the focus 3D telemodeling tool. Gaithersburg, MD: National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.ir.7324.

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Fenlon, Riley. Facial respirator shape analysis using 3D anthropometric data. Gaithersburg, MD: National Institute of Standards and Technology, 2007. http://dx.doi.org/10.6028/nist.ir.7460.

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Godfrey, Bracken R. Accuracy of 3D Imaging Software in Cephalometric Analysis. Fort Belvoir, VA: Defense Technical Information Center, May 2013. http://dx.doi.org/10.21236/ad1012925.

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Bethel, E. Wes, Oliver Rubel, Gunther H. Weber, Bernd Hamann, and Hans Hagen. Visualization and Analysis of 3D Gene Expression Data. Office of Scientific and Technical Information (OSTI), October 2007. http://dx.doi.org/10.2172/928239.

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