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"Rather than trying to understand the [Roman] Empire through the lens of modern organizations and institutions, Gargola looks at the idiosyncratic way the elite viewed the geographical world around them and how it fundamentally informed the way they ruled over their dominion. From what geometrical patterns they preferred to how they constructed their hierarchies in space, Gargola brings together a wide body of disparate materials to demonstrate how spatial orientation dictated action"--

Politics and government. --- Politik. --- Public spaces --- Public spaces. --- Raumwahrnehmung. --- Regierung. --- Space perception --- Space perception. --- Öffentlicher Raum. --- History --- Rom. --- Rome (Empire). --- Rome --- Römisches Reich. --- Politics and government --- History. --- Rome (Empire) --- Public places --- Social areas --- Urban public spaces --- Urban spaces --- Cities and towns --- Spatial perception --- Perception --- Spatial behavior --- Figure-ground perception --- Geographical perception --- Space perception - Rome - History --- Public spaces - Rome - History --- Rome - Politics and government

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What makes a space Jewish? This wide-ranging volume revisits literal as well as metaphorical spaces in modern German history to examine the ways in which Jewishness has been attributed to them both within and outside of Jewish communities, and what the implications have been across different eras and social contexts. Working from an expansive concept of “the spatial,” these contributions look not only at physical sites but at professional, political, institutional, and imaginative realms, as well as historical Jewish experiences of spacelessness. Together, they encompass spaces as varied as early modern print shops and Weimar cinema, always pointing to the complex intertwining of German and Jewish identity.

Jews --- Space perception --- History --- Germany --- Ethnic relations --- Spatial perception --- Perception --- Spatial behavior --- Figure-ground perception --- Geographical perception --- Hebrews --- Israelites --- Jewish people --- Jewry --- Judaic people --- Judaists --- Ethnology --- Religious adherents --- Semites --- Judaism --- anthropologist. --- anthropology. --- architecture. --- bavaria. --- belgium. --- berlin. --- class struggle. --- culture. --- european history. --- faith. --- german film. --- germany. --- ghetto. --- global. --- hamburg. --- holocaust. --- holy. --- jewish. --- location. --- memory. --- miriam rurup. --- munich. --- nosferatu. --- orthodox. --- periodical. --- philanthropy. --- rabbi. --- reform. --- religion. --- research. --- russia. --- sacred. --- scholarly. --- simone lassig. --- society. --- space. --- spatial. --- spirituality. --- synagogue. --- western europe. --- world history. --- zionism.

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This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analytics, including visual search, object and scene recognition. It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enabling them to quickly access the research world and acquire a systematic methodology rather than a few isolated techniques to analyze visual data with large variations. It is also inspiring for researchers working in computer vision and pattern recognition fields. Basic knowledge of linear algebra, computer vision and pattern recognition would be helpful to readers.

Computer science. --- Data mining. --- Image processing. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Data Mining and Knowledge Discovery. --- Pattern recognition systems. --- Computer vision. --- Machine vision --- Vision, Computer --- Pattern classification systems --- Pattern recognition computers --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Pattern perception --- Computer vision --- Optical pattern recognition. --- Optical data processing --- Perceptrons --- Visual discrimination --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical equipment

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This book provides the first systematic study of facial kinship verification, a new research topic in biometrics. It presents three key aspects of facial kinship verification: 1) feature learning for kinship verification, 2) metric learning for kinship verification, and 3) video-based kinship verification, and reviews state-of-the-art research findings on facial kinship verification. Many of the feature-learning and metric-learning methods presented in this book can also be easily applied for other face analysis tasks, e.g., face recognition, facial expression recognition, facial age estimation and gender classification. Further, it is a valuable resource for researchers working on other computer vision and pattern recognition topics such as feature-learning-based and metric-learning-based visual analysis.

Computer science. --- Image processing. --- Pattern recognition. --- Biometrics (Biology). --- Computer Science. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Biometrics. --- Biometric identification. --- Face --- Human face --- Biometric person authentication --- Biometrics (Identification) --- Head --- Pathognomy --- Physiognomy --- Anthropometry --- Identification --- Computer vision. --- Optical pattern recognition. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Optical data processing. --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Statistical methods --- Optical equipment

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Apply the Processing language to tasks involved in computer vision--tasks such as edge and corner detection, recognition of motion between frames in a video, recognition of objects, matching of feature points and shapes in different frames for tracking purposes, and more. You will manipulate images through creative effects, geometric transformation, blending of multiple images, and so forth. Examples are provided. Pro Processing for Images and Computer Vision with OpenCV is a step-by-step training tool that guides you through a series of worked examples in linear order. Each chapter begins with a basic demonstration, including the code to recreate it on your own system. Then comes a creative challenge by which to engage and develop mastery of the chapter’s topic. The book also includes hints and tips relating to visual arts, interaction design, and industrial best practices. This book is intended for any developer of artistic and otherwise visual applications, such as in augmented reality and digital effects, with a need to manipulate images, and to recognize and manipulate objects within those images. The book is specifically targeted at those making use of the Processing language that is common in artistic fields, and to Java programmers because of Processing’s easy integration into the Java programming environment.  What You'll Learn: Make use of OpenCV, the open source library for computer vision in the Processing environment Capture live video streams and examine them frame-by-frame for objects in motion Recognize shapes and objects through techniques of detecting lines, edges, corners, and more Transform images by scaling, translating, rotating, and additionally through various distortion effects Apply techniques such as background subtraction to isolate motion of objects in live video streams Detect and track human faces and other objects by matching feature points in different images or video frames.

Computer science. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Computer Graphics. --- Image Processing and Computer Vision. --- Game Development. --- Pattern Recognition. --- Computer vision. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Digital techniques --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Computer games—Programming. --- Optical pattern recognition. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Optical data processing. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment