Computer vision.
Overview
| Works: | 369 works in 215 publications in 215 languages | |
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Titles
Computer vision and applications : = a guide for students and practitioners /
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Digital image processing : = practical applications of parallel processing techniques /
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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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Advanced Concepts for Intelligent Vision Systems : = 7th International Conference, ACIVS 2005, Antwerp, Belgium, September 20-23, 2005, Proceedings
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Fuzzy Models and Algorithms for Pattern Recognition and Image Processing
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Precision Landmark Location for Machine Vision and Photogrammetry = Finding and Achieving the Maximum Possible Accuracy /
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Passive Eye Monitoring = Algorithms, Applications and Experiments /
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Augmented vision perception in infrared = algorithms and applied systems /
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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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Machine learning for vision-based motion analysis = theory and techniques /
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Introduction to video and image processing = building real systems and applications /
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Robust subspace estimation using low-rank optimization = theory and applications /
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Advances in neural networks - ISNN 2014 = 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28- December 1, 2014 : proceedings /
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Biometric authentication = First International Workshop, BIOMET 2014, Sofia, Bulgaria, June 23-24, 2014 : revised selected papers /
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Computer-assisted and robotic endoscopy = First International Workshop, CARE 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014 : revised selected papers /
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Advances in visual computing = 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014 : proceedings.. Part I /
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Advances in visual computing = 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014 : proceedings.. Part II /
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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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Knowledge transfer between computer vision and text mining = similarity-based learning approaches /
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Time-of-flight and structured light depth cameras = technology and applications /
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Algorithmic advances in Riemannian geometry and applications = for machine learning, computer vision, statistics, and optimization /
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Optimization techniques in computer vision = ill-posed problems and regularization /
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Advances in visual computing = 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016 : proceedings.. Part II /
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Computer vision and image processing : = a practical approach using CVIPtools /
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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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Structured computer vision : = machine perception through hierarchical computation structures /
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Evolutionary statistical procedures = an evolutionary computation approach to statistical procedures designs and applications /
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Multimedia for cultural heritage = First International Workshop, MM4CH 2011, Modena, Italy, May 3, 2011 : revised selected papers /
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Selective visual attention : = computational models and applications /
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Computational modeling of objects presented in images = fundamentals, methods and applications /
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Distributed embedded smart cameras = architectures, design and applications /
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Reliability and availability of quality control based on wavelet computer vision
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Motion estimation for video coding = efficient algorithms and architectures /
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Computer vision metrics = survey, taxonomy and analysis of computer vision, visual neuroscience, and deep learning /
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Photogrammetric computer vision = statistics, geometry, orientation and reconstruction /
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Computer vision for driver assistance = simultaneous traffic and driver monitoring /
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Foundations of computer vision = computational geometry, visual image structures and object shape detection /
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Facial analysis from continuous video with applications to human-computer interface
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High dynamic range imaging = acquisition, display, and image-based lighting /
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Multi-core computer vision and image processing for intelligent applications
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Microsoft Computer Vision APIs distilled = getting started with cognitive services /
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Low-rank models in visual analysis : = theories, algorithms, and applications /
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Computer vision in advanced control systems-5 = advanced decisions in technical and medical applications /
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Unsupervised learning in space and time = a modern approach for computer vision using graph-based techniques and deep neural networks /
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Advancements in computer vision applications in intelligent systems and multimedia technologies
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Deep learning on Windows = building deep learning computer vision systems on Microsoft Windows /
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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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Emotion, personality and cultural aspects in crowds = towards a geometrical mind /
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Cross-cultural design = culture and society : 11th International Conference, CCD 2019, held as part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019 : proceedings.. Part II /
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Cross-cultural design = methods, tools and user experience : 11th International Conference, CCD 2019, held as part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26-31, 2019 : proceedings.. Part II /
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Active lighting and its application for computer vision = 40 years of history of active lighting techniques /
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Multimodal scene understanding = algorithms, applications and deep learning /
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Parallel algorithms : = for digital image processing, computer vision and neural networks /
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2D object detection and recognition : = models, algorithms, and networks /
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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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Front-end vision and multi-scale image analysis = multi-scale computer vision theory and applications, written in Mathematica /
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Facial analysis from continuous video with applications to human-computer interface
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Computer vision and applications = a guide for students and practitioners /
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Robotic vision = technologies for machine learning and vision applications /
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Intelligent computer vision and image processing = innovation, application, and design /
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Computational intelligence in multi-feature visual pattern recognition = hand posture and face recognition using biologically inspired approaches /
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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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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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Multiresolution approach to processing images for different applications = interaction of lower processing with higher vision /
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Object detection and recognition in digital images = theory and practice /
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Architectures for computer vision = from algorithm to chip with Verilog /
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Innovative research in attention modeling and computer vision applications
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Practical guide to machine vision software = an introduction with LabVIEW /
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Guide to convolutional neural networks = a practical application to traffic-sign detection and classification /
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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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Hybrid imaging and visualization = employing machine learning with Mathematica - Python /
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Computer vision in control systems.. 6,. Advances in practical applications
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Robust methods for dense monocular non-rigid 3D reconstruction and alignment of point clouds
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Handbook of image processing and computer vision.. Volume 3,. From pattern to object
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Computer vision for X-ray testing = imaging, systems, image databases, and algorithms /
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Computational intelligence methods for super-resolution in image processing applications
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Computer vision based identification and mosaic of gramineous grass seeds
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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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Computer vision in control systems-3 = aerial and satellite image processing /
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Geometric algebra applications.. Vol. I,. Computer vision, graphics and neurocomputing
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Building computer vision applications using artificial neural networks = with step-by-step Examples in OpenCV and TensorFlow with Python /
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Applications of advanced machine intelligence in computer vision and object recognition = emerging research and opportunities /
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Computer vision and augmented reality in iOS = OpenCV and ARKit applications /
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Computer vision projects with PyTorch = design and develop production-grade models /
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Hybrid imaging and visualization = employing machine learning with Mathematica - Python /
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Deep learning and computer vision = models and biomedical applications.. Volume 2 /
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Pro processing for images and computer vision with OpenCV = solutions for media artists and creative coders /
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Computer vision : = principles, algorithms, applications, learning /
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Pattern recognition and computational intelligence techniques using Matlab
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Challenges and applications for implementing machine learning in computer vision
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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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Vision models for high dynamic range and wide colour gamut imaging = techniques and applications /
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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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Biomedical visualisation.. Volume 12,. The importance of context in image-making
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Human recognition in unconstrained environments = using computer vision, pattern recognition and machine learning methods for biometrics /
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An introduction to image classification = from designed models to end-to-end learning /
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Recent advances in logo detection using machine learning paradigms = theory and practice /
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Computer vision metrics = survey, taxonomy, and analysis of computer vision, visual neuroscience, and visual AI /
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Unsupervised computer vision for aerospace systems = spacecraft pose estimation to infrastructure health monitoring /
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Machine vision in plant leaf disease detection for sustainable agriculture
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Innovations in computer vision and data classification = from pandemic data analysis to environmental and health monitoring /
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Internet of vehicles and computer vision solutions for smart city transformations
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Artificial Intelligence as a Resource: An Appraisal of China's Mobilization and Extraction Strategies = = Inteligencia Artificial Como Um Recurso: Uma Avaliacao Das Estrategias De Mobilizacao E Extracao Da China.
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Deep learning and computer vision = models and biomedical applications.. Volume 1 /
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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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Recent advances in computer vision applications using parallel processing
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Low-power computer vision : = improve the efficiency of artificial intelligence /
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Building computer vision applications using artificial neural networks = with examples in OpenCV and TensorFlow with Python /
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Handbook of research on computer vision and image processing in the deep learning era
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Object detection with deep learning models = principles and applications /
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Industrial vision systems with Raspberry Pi = build and design vision products using Python and OpenCV /
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