Computer vision.
概要
| 作品: | 328 作品在 221 項出版品 221 種語言 | |
|---|---|---|
書目資訊
Precision Landmark Location for Machine Vision and Photogrammetry :Finding and Achieving the Maximum Possible Accuracy /
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Front-end vision and multi-scale image analysismulti-scale computer vision theory and applications, written in Mathematica /
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Image correlation for shape, motion and deformation measurementsbasic concepts, theory and applications /
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An introduction to object recognitionselected algorithms for a wide variety of applications /
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Digital image processing and analysis :human and computer vision applications with CVIPtools /
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Evolutionary statistical proceduresan evolutionary computation approach to statistical procedures designs and applications /
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Computer vision and action recognitiona guide for image processing and computer vision community for action understanding /
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Visual perception and robotic manipulation3D object recognition, tracking and hand-eye coordination /
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Computational modeling of objects presented in imagesfundamentals, methods and applications /
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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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Deformable meshes for medical image segmentationaccurate automatic segmentation of anatomical structures /
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High-dimensional and low-quality visual information processingfrom structured sensing and understanding /
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Multiresolution approach to processing images for different applicationsinteraction of lower processing with higher vision /
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Sparse representation, modeling and learning in visual recognitiontheory, algorithms and applications /
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Structural pattern recognition with graph edit distanceapproximation algorithms and applications /
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Knowledge transfer between computer vision and text miningsimilarity-based learning approaches /
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Computer vision metricssurvey, taxonomy and analysis of computer vision, visual neuroscience, and deep learning /
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Foundations of computer visioncomputational geometry, visual image structures and object shape detection /
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Guide to convolutional neural networksa practical application to traffic-sign detection and classification /
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Pro processing for images and computer vision with OpenCVsolutions for media artists and creative coders /
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Denoising of photographic images and videofundamentals, open challenges and new trends /
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Hybrid imaging and visualizationemploying machine learning with Mathematica - Python /
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Computer vision in advanced control systems-5advanced 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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Active lighting and its application for computer vision40 years of history of active lighting techniques /
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Deep learning on Windowsbuilding deep learning computer vision systems on Microsoft Windows /
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Computational intelligence methods for super-resolution in image processing applications
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Genetic programming for image classificationan automated approach to feature learning /
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Computer vision with maker techdetecting people with a Raspberry Pi, a thermal camera, and machine learning /
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Computer vision using deep learningneural network architectures with Python and Keras /
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Applications of advanced machine intelligence in computer vision and object recognitionemerging research and opportunities /
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Machine vision inspection systems.Volume 1,Image processing, concepts, methodologies and applications
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Vision models for high dynamic range and wide colour gamut imagingtechniques and applications /
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3D point cloud analysistraditional, deep learning, and explainable machine learning methods /
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Mastering the Microsoft Kinectbody tracking, object detection, and the Azure cloud services /
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Virtual and remote control towerresearch, design, development, validation, and implementation /
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Synthetic data for deep learninggenerate synthetic data for decision making and applications with Python and R /
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Building computer vision applications using artificial neural networkswith examples in OpenCV and TensorFlow with Python /
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