Computer vision.
概要
| 作品: | 358 作品在 204 項出版品 204 種語言 | |
|---|---|---|
書目資訊
Digital image processing : = practical applications of parallel processing techniques /
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Parallel algorithms : = for digital image processing, computer vision and neural networks /
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Advanced Concepts for Intelligent Vision Systems : = 7th International Conference, ACIVS 2005, Antwerp, Belgium, September 20-23, 2005, Proceedings
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Front-end vision and multi-scale image analysis = multi-scale computer vision theory and applications, written in Mathematica /
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Computer vision and image processing in intelligent systems and multimedia technologies /
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Research developments in computer vision and image processing : = methodologies and applications /
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Geometric algebra applications.. Vol. I,. Computer vision, graphics and neurocomputing
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The geometry of multiple images : = the laws that govern the formation of multiple images of a scene and some of their applications /
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Graph-Based Representations in Pattern Recognition = 5th IAPR International Workshop, GbRPR 2005, Poitiers, France, April 11-13, 2005, Proceedings /
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Precision Landmark Location for Machine Vision and Photogrammetry = Finding and Achieving the Maximum Possible Accuracy /
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Structured computer vision : = machine perception through hierarchical computation structures /
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Facial analysis from continuous video with applications to human-computer interface
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Image correlation for shape, motion and deformation measurements = basic concepts, theory and applications /
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An introduction to object recognition = selected algorithms for a wide variety of applications /
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Intelligent computer vision and image processing = innovation, application, and design /
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Computational modeling of objects presented in images = fundamentals, methods and applications /
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Programming computer vision with Python : = [tools and algoritbms for analyzing images] /
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OpenCV 2 computer vision application programming cookbook : = over 50 recipes to master this library of programming functions for real-time computer vision /
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Deformable meshes for medical image segmentation = accurate automatic segmentation of anatomical structures /
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High-dimensional and low-quality visual information processing = from structured sensing and understanding /
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Sparse representation, modeling and learning in visual recognition = theory, algorithms and applications /
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Computer vision for x-ray testing = imaging, systems, image databases, and algorithms /
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Structural pattern recognition with graph edit distance = approximation algorithms and applications /
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Photogrammetric computer vision = statistics, geometry, orientation and reconstruction /
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Practical convolutional neural networks : = implement advanced deep learning models using Python /
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Practical computer vision : = extract insightful information from images using TensorFlow, Keras, and OpenCV /
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Computational intelligence methods for super-resolution in image processing applications
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Active lighting and its application for computer vision = 40 years of history of active lighting techniques /
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Knowledge transfer between computer vision and text mining = similarity-based learning approaches /
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Computer vision metrics = survey, taxonomy and analysis of computer vision, visual neuroscience, and deep learning /
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Foundations of computer vision = computational geometry, visual image structures and object shape detection /
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Guide to convolutional neural networks = a practical application to traffic-sign detection and classification /
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Pro processing for images and computer vision with OpenCV = solutions for media artists and creative coders /
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Genetic programming for image classification = an automated approach to feature learning /
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Machine vision inspection systems.. Volume 1,. Image processing, concepts, methodologies and applications
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Synthetic data for deep learning = generate synthetic data for decision making and applications with Python and R /
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Deep learning on Windows = building deep learning computer vision systems on Microsoft Windows /
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Industrial vision systems with Raspberry Pi = build and design vision products using Python and OpenCV /
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Hybrid imaging and visualization = employing machine learning with Mathematica - Python /
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Computer vision in advanced control systems-5 = advanced decisions in technical and medical applications /
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Advancements in computer vision applications in intelligent systems and multimedia technologies
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Robust methods for dense monocular non-rigid 3D reconstruction and alignment of point clouds
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Computer vision for X-ray testing = imaging, systems, image databases, and algorithms /
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Computer vision with maker tech = detecting people with a Raspberry Pi, a thermal camera, and machine learning /
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Computer vision using deep learning = neural network architectures with Python and Keras /
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Vision models for high dynamic range and wide colour gamut imaging = techniques and applications /
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3D point cloud analysis = traditional, deep learning, and explainable machine learning methods /
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Human perception of visual information = psychological and computational perspectives /
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Mastering the Microsoft Kinect = body tracking, object detection, and the Azure cloud services /
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Virtual and remote control tower = research, design, development, validation, and implementation /
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Building computer vision applications using artificial neural networks = with examples in OpenCV and TensorFlow with Python /
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An introduction to image classification = from designed models to end-to-end learning /
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