Author: Tony Spagnoly
Publisher: Pen and Sword
ISBN: 0850526108
Category : History
Languages : en
Pages : 160
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Book Description
Another group of stories in the Salient Points series. A collection of stories of men, their units and the actions they took part in during the conflict of 1914-1918, together with stories other points of interest along the old Western Front. Each story is supported with photographs and maps showing the area of the action as it was then, and is today. The content feature-titles are: The Black Watch; Lord Worsley at Zandvoorde; The 1st Battalion Royal Welch Fusiliers at Zandvoorde; The Worcesters and the Welsh at Gheluvelt in 1914; The Youngest Soldier; Major Lanoe Hawker at Abeele Aerodrome; 16th Battalion (The Canadian Scottish) at Kichener Wood; Pond Farm; Fray Bentos at Hill 35; The Liverpool Irish at Schuler Galleries; The O'Donnell Twins; New Zealand at the village of Messines; Reconciliation at Broodseinde.
Author: George James Guthrie
Publisher:
ISBN:
Category : Surgery
Languages : en
Pages : 300
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Book Description
Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1522552057
Category : Computers
Languages : en
Pages : 2494
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Book Description
The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material on development of computers for gaining understanding about videos and digital images. Highlighting a range of topics, such as computational models, machine learning, and image processing, this multi-volume book is ideally designed for academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.
Author: Daniel Jönsson
Publisher: Linköping University Electronic Press
ISBN: 9176856895
Category :
Languages : en
Pages : 82
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Book Description
The visualization of volume data is a fundamental component in the medical domain. Volume data is used in the clinical work-flow to diagnose patients and is therefore of uttermost importance. The amount of data is rapidly increasing as sensors, such as computed tomography scanners, become capable of measuring more details and gathering more data over time. Unfortunately, the increasing amount of data makes it computationally challenging to interactively apply high quality methods to increase shape and depth perception. Furthermore, methods for exploring volume data has mostly been designed for experts, which prohibits novice users from exploring volume data. This thesis aims to address these challenges by introducing efficient methods for enhancing salient features through high quality illumination as well as methods for intuitive volume data exploration. Humans are interpreting the world around them by observing how light interacts with objects. Shadows enable us to better determine distances while shifts in color enable us to better distinguish objects and identify their shape. These concepts are also applicable to computer generated content. The perception in volume data visualization can therefore be improved by simulating real-world light interaction. This thesis presents efficient methods that are capable of interactively simulating realistic light propagation in volume data. In particular, this work shows how a multi-resolution grid can be used to encode the attenuation of light from all directions using spherical harmonics and thereby enable advanced interactive dynamic light configurations. Two methods are also presented that allow photon mapping calculations to be focused on visually changing areas.The results demonstrate that photon mapping can be used in interactive volume visualization for both static and time-varying volume data. Efficient and intuitive exploration of volume data requires methods that are easy to use and reflect the objects that were measured. A value that has been collected by a sensor commonly represents the material existing within a small neighborhood around a location. Recreating the original materials is difficult since the value represents a mixture of them. This is referred to as the partial-volume problem. A method is presented that derives knowledge from the user in order to reconstruct the original materials in a way which is more in line with what the user would expect. Sharp boundaries are visualized where the certainty is high while uncertain areas are visualized with fuzzy boundaries. The volume exploration process of mapping data values to optical properties through the transfer function has traditionally been complex and performed by expert users. A study at a science center showed that visitors favor the presented dynamic gallery method compared to the most commonly used transfer function editor.
Author: Axel Pinz
Publisher: Now Publishers Inc
ISBN: 1933019131
Category : Computers
Languages : en
Pages : 110
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Book Description
This article presents foundations, original research and trends in the field of object categorization by computer vision methods. The research goals in object categorization are to detect objects in images and to determine the object's categories. Categorization aims for the recognition of generic classes of objects, and thus has also been termed 'generic object recognition'. This is in contrast to the recognition of specific, individual objects. While humans are usually better in generic than in specific recognition, categorization is much harder to achieve for today's computer architectures.
Author: Tony Spagnoly
Publisher: Casemate Publishers
ISBN: 0850529328
Category : History
Languages : en
Pages : 159
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Book Description
Concentrating on the Ploegsteert and Neuve Eglise sectors in Belgium, this book features stories on such well known figures as sculptor Charles Sargent Jagger, ARA; R. Poulton Palmer and 'Tanky' Turner, great friends and rugby football captains of England and Scotland respectively; as well the discovery and eventual burial of a Lancashire Fusilier who was killed in action in 1914; the research leading to the erection in 2002 of a 'Believed to be buried' headstone in the Strand cemetery of an Australian killed in action at Messines in 1917; the action in 1914 that initiated the birth of the infamous 'Birdcage' on the western edge of Ploegsteert Wood and other stories of interest to enthusiasts of the Great War. Another in the Cameos of the Western Front series on men, minor actions and battlefield sites, this book, like its predecessors is an ideal 'companion' for the battlefield visitor.
Author: George Gabriel Stokes
Publisher: Cambridge University Press
ISBN: 9780521328319
Category : Biography & Autobiography
Languages : en
Pages : 412
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Book Description
G. G. Stokes and Lord Kelvin helped bring about conceptual and institutional changes that transformed the science of physics. Indeed, they and their Victorian colleagues constituted one of the most significant groups of scientists in the whole history of science. This collection of letters was first published in 1990, and provides, therefore, invaluable insight and information for a period of major historical importance. Stokes and Kelvin corresponded for over fifty years as professors in Cambridge and Glasgow, respectively, thus amassing what is easily the largest extant correspondence between two Victorian physicists. The letters range widely over the people, ideas, and institutions of the age. They illuminate the histories of Cambridge and Glasgow Universities and the Royal Society of London, for example, as well as developments in electromagnetism, hydrodynamics, elasticity, optics, and X-rays. The editor's introduction describes the context of the pair's careers, while guiding the reader into their correspondence.
Author: P. Venkata Krishna
Publisher: Springer
ISBN: 364229216X
Category : Computers
Languages : en
Pages : 842
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Book Description
This 2-Volume-Set, CCIS 0269-CCIS 0270, constitutes the refereed proceedings of the International Conference on Global Trends in Computing and Communication (CCIS 0269) and the International Conference on Global Trends in Information Systems and Software Applications (CCIS 0270), ObCom 2011, held in Vellore, India, in December 2011. The 173 full papers presented together with a keynote paper and invited papers were carefully reviewed and selected from 842 submissions. The conference addresses issues associated with computing, communication and information. Its aim is to increase exponentially the participants' awareness of the current and future direction in the domains and to create a platform between researchers, leading industry developers and end users to interrelate.
Author: United States. Hydrographic Office
Publisher:
ISBN:
Category : Pilot guides
Languages : en
Pages : 284
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Book Description
Author: Alexander Oliver Mader
Publisher: BoD – Books on Demand
ISBN: 3753480061
Category : Medical
Languages : en
Pages : 252
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Book Description
The task of object localization in medical images is a corner stone of automatic image processing and a prerequisite for other medical imaging tasks. In this thesis, we present a general framework for the automatic detection and localization of spatially correlated key points in medical images based on a conditional random field (CRF). The problem of selecting suitable potential functions (knowledge sources) and defining a reasonable graph topology w.r.t. the dataset is automated by our proposed data-driven CRF optimization. We show how our fairly simple setup can be applied to different medical datasets involving different image dimensionalities (i.e., 2D and 3D), image modalities (i.e., X-ray, CT, MRI) and target objects ranging from 2 to 102 distinct key points by automatically adapting the CRF to the dataset. While the used general "default" configuration represents an easy to transfer setup, it already outperforms other state-of-the-art methods on three out of four datasets. By slightly gearing the proposed approach to the fourth dataset, we further illustrate that the approach is capable of reaching state-of-the-art performance of highly sophisticated and data-specific deep-learning-based approaches. Additionally, we suggest and evaluate solutions for common problems of graph-based approaches such as the reduced search space and thus the potential exclusion of the correct solution, better handling of spatial outliers using latent variables and the incorporation of invariant higher order potential functions. Each extension is evaluated in detail and the whole method is additionally compared to a rivaling convolutional-neural-network-based approach on a hard problem (i.e., the localization of many locally similar repetitive target key points) in terms of exploiting the spatial correlation. Finally, we illustrate how follow-up tasks, segmentation in this case, may benefit from a correct localization by reaching state-of-the-art performance using off-the-shelve methods in combination with our proposed method.
