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Vision
26,99 € *
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Featuring hundreds of carefully hand-crafted illustrations as well as significant tuition on how to best compose and use images to create the most powerful frames, this book is potentially Hans P. Bacher´s life´s work encapsulated in one volume. Here, the internationally renowned production designer shares his expertise in an easy-to-follow and imaginative way - giving tips, exercises, and a depth of knowledge garnered from a lifetime in the industry. Bacher´s production designs have established the look of many seminal animated films such as The Lion King, Balto, Mulan and Beauty and the Beast, so fans of his work will be delighted. While keeping the focus on storytelling, Bacher instructs readers in the art of animated cinematography with the ever-present aim of soliciting an emotional response from the audience. Vision: Color and Composition for Film represents an amazing depth of experience - and is visually arresting to boot.

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Stand: 13.06.2019
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Computer Vision
60,99 € *
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Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of ´´recipes,´´ this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

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Stand: 13.06.2019
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Porsche Visions
70,00 € *
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A collection of breathtaking images and exciting stories written by a renowned expert, Wilfried Muller.

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Stand: 13.06.2019
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Digital Image Processing, Global Edition
56,99 € *
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For courses in Image Processing and Computer Vision. Introduce your students to image processing with the industry´s most prized text For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition, which celebrates the book´s 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book.

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Stand: 13.06.2019
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Concise Computer Vision
36,99 € *
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This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an ℑ explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an ℑ introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning.

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Stand: 13.06.2019
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Advances in Computer Vision
158,99 € *
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This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 118 (including 7 poster papers) were selected for inclusion in these proceedings. The book´s goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science, Image Processing, Deep Learning, and Computer Vision Applications.

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Stand: 13.06.2019
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Advances in Computer Vision
174,99 € *
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This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 120 (including 7 poster papers) were selected for inclusion in these proceedings. The book´s goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science, Image Processing, Deep Learning, and Computer Vision Applications.

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Stand: 13.06.2019
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Digital Image Segmentation Techniques: An Intro...
39,90 € *
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Image segmentation is important consideration in computer vision. Image segmentation partitions the image into multiple regions. For image segmentation, a number of different methods have been available in the literature. In this book, Ostu Threholding and Watershed Method have been described. In Ostu Method, the image is segmented at different values of threshold and some interesting points have been found. Watershed has also applied on the same image for segmentation. The performance of these methods have been tested using seven well-known performance measures. The effect of image size has also been analyzed on both methods. The analysis of these methods is beneficial for research community.

Anbieter: buecher.de
Stand: 13.06.2019
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