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Computer Vision Research Progress

Autor Zhongkai Zhu
en Limba Engleză Hardback – 19 mai 2008
Computer vision is the science and technology of machines that see. As a scientific discipline, computer vision is concerned with the theory and technology for building artificial systems that obtain information from images. The image data can take many forms, such as a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply the theories and models of computer vision to the construction of computer vision systems. Examples of applications of computer vision systems include systems for controlling processes (e.g. an industrial robot or an autonomous vehicle). Detecting events (e.g. for visual surveillance). Organising information (e.g. for indexing databases of images and image sequences), Modelling objects or environments (e.g. industrial inspection, medical image analysis or topographical modelling), Interaction (e.g. as the input to a device for computer-human interaction). Computer vision can also be describe
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Specificații

ISBN-13: 9781600219924
ISBN-10: 1600219926
Pagini: 335
Ilustrații: tables & charts
Dimensiuni: 188 x 266 x 28 mm
Greutate: 0.99 kg
Editura: Nova Science Publishers Inc

Cuprins

Preface; Application of Stereo-Computer Vision Techniques to High Sensitivity Measurement of Shape and Deformation of Solid Bodies; A Follow-up of Image Registration Techniques For Application in Digital Subtraction Angiography; Intelligent Video Analysis for Traffic Surveillance by Perceptual Edge Feature Grouping; Accurately Calibrating Image Distortion Center of Radial Camera; Twin Object-centered Models for 3D Reconstruction; Fast Face Detector and Recognition for Biometrical Security System; Joint Rotation, Shift and Scale Invariant Feature Extraction for Content-Based Image Retrieval; Application of Computer Vision in Shortest Path Planning; Object Detection and Tracking Using Bayes-Constrained Particle Swarm Optimization; Head Pose Estimation and Multi-View Face Recognition with Nonlinear Dimensionality Reduction Methods; Evidence-Based Pixel Labeling for Color Image Segmentation; E-Quality for Manufacturing (EQM) Using Internet-based Computer Vision System; Evaluation and Assessment of Rigid, Affine, and Nonrigid Registration Techniques: Application to X-ray Angiography Images; Index.