10,149 research outputs found

    Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration

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    The filming of sporting events projects and flattens the movement of athletes in the world onto a 2D broadcast image. The pixel locations of joints in these images can be detected with high validity. Recovering the actual 3D movement of the limbs (kinematics) of the athletes requires lifting these 2D pixel locations back into a third dimension, implying a certain scene geometry. The well-known line markings of sports fields allow for the calibration of the camera and for determining the actual geometry of the scene. Close-up shots of athletes are required to extract detailed kinematics, which in turn obfuscates the pertinent field markers for camera calibration. We suggest partial sports field registration, which determines a set of scene-consistent camera calibrations up to a single degree of freedom. Through joint optimization of 3D pose estimation and camera calibration, we demonstrate the successful extraction of 3D running kinematics on a 400m track. In this work, we combine advances in 2D human pose estimation and camera calibration via partial sports field registration to demonstrate an avenue for collecting valid large-scale kinematic datasets. We generate a synthetic dataset of more than 10k images in Unreal Engine 5 with different viewpoints, running styles, and body types, to show the limitations of existing monocular 3D HPE methods. Synthetic data and code are available at https://github.com/tobibaum/PartialSportsFieldReg_3DHPE.Comment: accept at "9th International Workshop on Computer Vision in Sports (CVsports) at CVPR 2023

    Deep Learning for Scene Flow Estimation on Point Clouds: A Survey and Prospective Trends

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    Aiming at obtaining structural information and 3D motion of dynamic scenes, scene flow estimation has been an interest of research in computer vision and computer graphics for a long time. It is also a fundamental task for various applications such as autonomous driving. Compared to previous methods that utilize image representations, many recent researches build upon the power of deep analysis and focus on point clouds representation to conduct 3D flow estimation. This paper comprehensively reviews the pioneering literature in scene flow estimation based on point clouds. Meanwhile, it delves into detail in learning paradigms and presents insightful comparisons between the state-of-the-art methods using deep learning for scene flow estimation. Furthermore, this paper investigates various higher-level scene understanding tasks, including object tracking, motion segmentation, etc. and concludes with an overview of foreseeable research trends for scene flow estimation

    The development of the Kent coalfield 1896-1946

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    One of the unique features of the Kent Coalfield is that it is entirely concealed by newer rocks. The existence of a coalfield under southern England, being a direct link between those of South Wales, Somerset and Bristol in the west and the Ruhr, Belgium. and northern France in the east, was predicted by the geologist R. A. C. Godwin-Austen as early as 1856. It was, however, only the rapid increase in demand for Britain's coal in the last quarter of the nineteenth century that made it worth considering testing this hypothesis. The first boring was made in the years 1886-90, and although it discovered coal, this did not in itself prove the existence of a viable coalfield. This could be done only by incurring the heavy cost of boring systematically over a wide area. As the financial returns from such an undertaking were uncertain, it was not surprising that in the early years, around the turn of the century, a dominant role was played by speculators, who were able to induce numerous small investors to risk some of their savings in the expectation of high profits. As minerals in Britain were privately owned, the early pioneer companies not only had to meet the cost of the exploratory borines, but also, if they were not to see the benefit of their work accrue to others, lease beforehand the right to mine coal from local landowners in as much of the surrounding area as possible. This policy was pursued most vigorously by Arthur Burr, a Surrey land specula tor, who raised capital by creating the Kent Coal Conoessions Ltd. and then floating a series of companies allied to it. Burr's enterprise would probably have been. successful had it not been for the water problems encountered at depth in -v- the coalfield. As a result, the Concessions group found itself in control of most of the coalfield, but without the necessary capital to sink and adequately equip its 01ffi collieries. By 1910, however, the discovery of iron ore deposits in east Kent, coupled with the fact that Kent coal was excellent for coking purposes, began to attract the large steel firms of Bolckow, Vaughan Ltd. and Dorman, Long & Co. Ltd. in to the area. The First World War intervened, however, to delay their plans, and to provide an extended lease of life to the Concessions group, which, by the summer of 1914, was facing financial collapse. By the time Dorman, Lone & Co, in alliance with Weetman Pearson (Lord Cowdray), had acquired control over the greater part of the coalfield from the Concessions group, not only was the country's coal industry declining, but so was its steel industry, which suffered an even more severe rate of contraction during the inter-war years. As a result, Pearson and Dorman Long Ltd. was forced to concentrate just on coal production, and this in turn was hampered not only by the water problems, but also by labour shortages and the schemes introduced by the government in 1930 to restrict the country's coal output, in an attempt to maintain prices and revenue in the industry. Nevertheless, production did show a substantial increase between 1927 and 1935, after which it declined as miners left the coalfield to return to their former districts, where employment opportunities were improving in the late thirties. Supporting roles were played in the inter-war years by Richard Tilden Smith, a share underwriter turned industrialist with long standing interests in the coalfield, who acquired one of the Concessions group's two collieries, and by the Powell Duffryn Steam Coal Co. Ltd., which through subsidiary companies, took over the only colliery to be developed by a pioneer company outside the Concessions group. The impossibility of Kent coal, because of its nature, ever gaining more than token access to the more lucrative household market, and then the failure of the local steel industry to materialise meant that the -vi- companies had to develop alternative outlets for their growing outputs. Although nearness to industrial markets in the south-east of England did confer certain advantages were poor consolation for the hoped for developments of either the early pioneers or the later industrialists. Instead of the expected profits, the companies mostly incurred losses, and only the company acquired by Powell Duffryn ever paid a dividend to its shareholders in the years before nationalisation. From the point of view of the Kent miners, the shortage of labour in the coalfield, particularly in the years 1914-20 and 1927-35, was to an important extent responsible for their being amongst the highest paid in the industry. At the same time the more favourable employment opportunities prevailing in Kent compared with other mining districts enabled the Kent Nine Workers Association to develop into a well organised union, which on the whole was able to look after the interests of its members fairly successfully. Throughout the period 1896 to 1946 the Kent Coalfield existed very much at the margin of the British coal industry. Its failure to develop substantially along the lines envisaged by either the early pioneers or by the later industrialists meant that its importance in national terms always remained small

    Cost-effective non-destructive testing of biomedical components fabricated using additive manufacturing

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    Biocompatible titanium-alloys can be used to fabricate patient-specific medical components using additive manufacturing (AM). These novel components have the potential to improve clinical outcomes in various medical scenarios. However, AM introduces stability and repeatability concerns, which are potential roadblocks for its widespread use in the medical sector. Micro-CT imaging for non-destructive testing (NDT) is an effective solution for post-manufacturing quality control of these components. Unfortunately, current micro-CT NDT scanners require expensive infrastructure and hardware, which translates into prohibitively expensive routine NDT. Furthermore, the limited dynamic-range of these scanners can cause severe image artifacts that may compromise the diagnostic value of the non-destructive test. Finally, the cone-beam geometry of these scanners makes them susceptible to the adverse effects of scattered radiation, which is another source of artifacts in micro-CT imaging. In this work, we describe the design, fabrication, and implementation of a dedicated, cost-effective micro-CT scanner for NDT of AM-fabricated biomedical components. Our scanner reduces the limitations of costly image-based NDT by optimizing the scanner\u27s geometry and the image acquisition hardware (i.e., X-ray source and detector). Additionally, we describe two novel techniques to reduce image artifacts caused by photon-starvation and scatter radiation in cone-beam micro-CT imaging. Our cost-effective scanner was designed to match the image requirements of medium-size titanium-alloy medical components. We optimized the image acquisition hardware by using an 80 kVp low-cost portable X-ray unit and developing a low-cost lens-coupled X-ray detector. Image artifacts caused by photon-starvation were reduced by implementing dual-exposure high-dynamic-range radiography. For scatter mitigation, we describe the design, manufacturing, and testing of a large-area, highly-focused, two-dimensional, anti-scatter grid. Our results demonstrate that cost-effective NDT using low-cost equipment is feasible for medium-sized, titanium-alloy, AM-fabricated medical components. Our proposed high-dynamic-range strategy improved by 37% the penetration capabilities of an 80 kVp micro-CT imaging system for a total x-ray path length of 19.8 mm. Finally, our novel anti-scatter grid provided a 65% improvement in CT number accuracy and a 48% improvement in low-contrast visualization. Our proposed cost-effective scanner and artifact reduction strategies have the potential to improve patient care by accelerating the widespread use of patient-specific, bio-compatible, AM-manufactured, medical components

    The Adirondack Chronology

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    The Adirondack Chronology is intended to be a useful resource for researchers and others interested in the Adirondacks and Adirondack history.https://digitalworks.union.edu/arlpublications/1000/thumbnail.jp

    The Role of Transient Vibration of the Skull on Concussion

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    Concussion is a traumatic brain injury usually caused by a direct or indirect blow to the head that affects brain function. The maximum mechanical impedance of the brain tissue occurs at 450±50 Hz and may be affected by the skull resonant frequencies. After an impact to the head, vibration resonance of the skull damages the underlying cortex. The skull deforms and vibrates, like a bell for 3 to 5 milliseconds, bruising the cortex. Furthermore, the deceleration forces the frontal and temporal cortex against the skull, eliminating a layer of cerebrospinal fluid. When the skull vibrates, the force spreads directly to the cortex, with no layer of cerebrospinal fluid to reflect the wave or cushion its force. To date, there is few researches investigating the effect of transient vibration of the skull. Therefore, the overall goal of the proposed research is to gain better understanding of the role of transient vibration of the skull on concussion. This goal will be achieved by addressing three research objectives. First, a MRI skull and brain segmentation automatic technique is developed. Due to bones’ weak magnetic resonance signal, MRI scans struggle with differentiating bone tissue from other structures. One of the most important components for a successful segmentation is high-quality ground truth labels. Therefore, we introduce a deep learning framework for skull segmentation purpose where the ground truth labels are created from CT imaging using the standard tessellation language (STL). Furthermore, the brain region will be important for a future work, thus, we explore a new initialization concept of the convolutional neural network (CNN) by orthogonal moments to improve brain segmentation in MRI. Second, the creation of a novel 2D and 3D Automatic Method to Align the Facial Skeleton is introduced. An important aspect for further impact analysis is the ability to precisely simulate the same point of impact on multiple bone models. To perform this task, the skull must be precisely aligned in all anatomical planes. Therefore, we introduce a 2D/3D technique to align the facial skeleton that was initially developed for automatically calculating the craniofacial symmetry midline. In the 2D version, the entire concept of using cephalometric landmarks and manual image grid alignment to construct the training dataset was introduced. Then, this concept was extended to a 3D version where coronal and transverse planes are aligned using CNN approach. As the alignment in the sagittal plane is still undefined, a new alignment based on these techniques will be created to align the sagittal plane using Frankfort plane as a framework. Finally, the resonant frequencies of multiple skulls are assessed to determine how the skull resonant frequency vibrations propagate into the brain tissue. After applying material properties and mesh to the skull, modal analysis is performed to assess the skull natural frequencies. Finally, theories will be raised regarding the relation between the skull geometry, such as shape and thickness, and vibration with brain tissue injury, which may result in concussive injury

    The new age of fear: an analysis of crisis framing by right-wing populist parties in Greece and France

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    From the 2009 Eurozone economic downturn, to the 2015 mass movement of forcibly displaced migrants and the current COVID-19 pandemic, crises have seemingly become a ‘new normal’ feature of European politics. During this decade, rolling crises generated a wave of public discontent that damaged the legitimacy of national governments and the European Union and heralded a renaissance of populism. The central message of populist parties, which helped them rise in popularity or enter parliament for the first time, is simple but very effective: democratic representation has been undermined by national and global elites. This has provoked a wealth of studies seeking to explain the rise or breakthrough of populist fringe parties, without adequate consideration of how crises transform, not only the demand side, but also the supply of populist arguments, which has received scarce attention. This thesis seeks to address this imbalance by synthesising insights from the crisis framing literature, which facilitates an understanding and operationalisation of populism as a style of discourse. To assess how far-right parties employ this discourse, and the implications of this for their electoral prospects, a comparative case-study design is employed, exploring the discourse of parties, the National Rally (NR) in France and Golden Dawn (GD) in Greece. Their ideologically similar profile but differential electoral performance, allows for a more nuanced analysis of their respective framing strategies. The thesis examines the discourse of the two parties MPs on month by month basis over a four year period, 2012-2015 for GD and 2012-2013 and 2016-2017 for NR, via the use of the NVivo software. Their respective discourses are quantified and broken down into four key areas associated with Foreign Policy, the Economy, the Political System and Society, analysing the content, frequency and salience of key crisis frames. Discourse analysis of excerpts adds a qualitative element to the analysis that showcases the substantial differences between the two case studies. The analysis demonstrates that references to ‘the people’ and anti-elitism were the centrepieces of each case study’s discourse with strong nativist and nationalist elements. The two parties were extremely similar in the diagnostic stage of their framing and the way which they attribute blame for the crises. However, their discursive strategies diverge regarding their proposed solutions to the crises. Golden Dawn remained a single issue party in terms of discourse, since it never presented a comprehensive plan for ending the crises. As a result, Golden Dawn’s discourse remained one-dimensional throughout its brief period of success, being centred solely on attributing blame and attacking its political opponents and the European Union. On the other hand, National Rally’s framing was more elaborate and ambitious both in terms of the variety of issues raised and, especially, the proposed solutions if advocated. This, it is argued, contributed to the evolution of RN into a mainstream competitor that is no longer dependent on a niche part of the electoral market, while the inability of GD to develop equally successful crisis frames offers a unique understanding as to why the party failed electorally and was unable to enter Parliament in the 2019 elections. The overall analysis produces a rich framework that maps out the key elements of populist crisis discourse by far-right parties, which has implications for electoral politics and for our understanding of populism, more broadly

    Nonunion of the clavicle: novel use of clinical recovery and ultrasound to improve our ability to predict fracture healing

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    The aim of this thesis was to progress our understanding of clavicle nonunion and the ability to accurately predict fracture healing in order to improve the current management of these injuries. Although only one in seven fractures go onto nonunion, these are challenging to predict. It is unclear if the recent widespread increase in the use of acute plate fixation for displaced fractures is justified on current evidence. It is unknown whether the early accurate prediction of fractures at high risk of nonunion is advantageous. Currently the perceived risk of nonunion is largely based on factors available at time of injury alone. The evaluation of clinical recovery following non-operative management and the novel use of ultrasound may advance our ability to accurately predict fracture healing for these injuries. The cost-effectiveness of acute clavicle plate fixation versus non-operative treatment was estimated from randomized controlled trial data that had been previously published. This was completed prior to the start of this thesis and the author was not involved in the original trial. A large retrospective review of clavicle fracture fixations was undertaken to determine whether delayed clavicle fixation has an increased risk of complications compared to acute operative management. A prospective study of displaced midshaft fractures was carried out over a two-year period to determine the influence of functional recovery on the ability to predict fracture healing. The influence of clavicle fracture management on the early functional recovery was evaluated with data from a randomized controlled trial and second prospective cohort. Finally, the novel use of ultrasound to detect early callus formation and determine whether this allows accurate prediction of fracture healing was evaluated for a cohort of clavicle and tibia fractures. The estimated cost per quality-of-life adjusted year of acute plate fixation over non-operative treatment is £480,309.41/QALY. For a threshold of £20,000/QALY the benefit of acute fixation would need to be present for 24 years to be cost-effective over conservative treatment. Linear regression analysis identified nonunion as the only factor to negatively influence the SF-6D at 12-months (p<0.001). A ten-year cohort of 259 clavicle plate fixations found failed primary surgery requiring revision fixation occurred in 7.7% of all patients. Smoking (p<0.001), presence of a post-operative infection (<0.001), increasing age (p=0.018), and greater time delay from injury to surgery (p=0.015) was identified as significant independent predictors on regression analysis. Receiver operating curve analysis (ROC) revealed that surgery beyond 96 days from injury has an increased rate of major complications and revision surgery. Using a matched case cohort of cases before (n=67) and after the ‘safe window’ (n=77), the risk of post-operative infection increased (Odds ratio (OR) 7.7, p=0.028), fixation failure (OR 3.8, p=0.017) and revision surgery (OR 4.8 p=0.004). A delay to operative fixation beyond 3 months following injury would appear to be associated with an increased risk of major operative complications and revision surgery. A large prospective cohort of 200 patients managed non-operatively with a displaced midshaft clavicle fracture were recruited. Regression modelling found a QuickDASH ≥40 (p=0.001), no callus on radiograph (p=0.004) and fracture movement on examination (p=0.001) were significant predictors of nonunion. If none were present the predicted nonunion risk was 3%, found in 40% of the cohort. Conversely if two or more of the predictors were present, found in 23.5% of the cohort, the predicted nonunion risk was 60%. The delayed assessment nonunion model appeared to have superior accuracy when compared to the estimation of nonunion at time of injury alone healing on ROC curve analysis (Area Under Curve analysis; 87.3% vs 64.8% respectively). Data from a randomized controlled trial was used to compare 86 patients who underwent operative fixation against 76 patients that united with non-operative treatment. The recovery of normal shoulder function, as defined by a DASH score within the predicted 95% confidence interval for each respective patient was similar between each group at six-weeks (operative 26.7% vs non-operative 25.0%, p=0.80), three-months (52.3% vs 44.2%, p=0.77) and six-months post-injury (86.0% vs 90.8%, p=0.35). The mean DASH score and return to work was also comparable at each time point. Regression analysis found no specific patient, injury or fracture predictor was associated with an early return of function following non-operative management at six or twelve weeks. From a pilot study of twenty clavicle fractures, six-week sonographic bridging callus appeared to be the most accurate, and repeatable, predictor of fracture healing with a strong agreement on intra class correlation (ICC) between four reviewers (ICC 0.82, 95% confidence interval 0.68-0.91). In a large prospective study of 112 patients, sonographic bridging callus was detected in 62.5% (n=70/112) of the cohort at six weeks post-injury. If present, union occurred in 98.6% of the fractures (n=69/70). If absent, nonunion developed in 40.5% of cases (n=17/42). The sensitivity to predict union with sonographic bridging callus at six weeks was 73.4% and the specificity was 94.4%. Three-dimensional fracture reconstruction can be created using multiple ultrasound images in order to evaluate the presence of bridging callus. This imaging modality has the potential to enhance the usability and accuracy of identification of fracture healing at an early stage following injury. Nonunion following a displaced midshaft clavicle fractures accounts for the majority of poor functional recovery and impaired quality of life over the first-year post-injury. Prediction of clavicle fracture healing at six weeks following injury maybe a safe and effective strategy to identify patients at greatest risk of nonunion. The use of functional recovery enables a more accurate estimation of nonunion risk compared to conventional prediction at time of injury alone. The use of ultrasound may further refine our ability to predict fracture healing

    One rule to rule them all

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