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Image Processing, Computer Vision, and Pattern Recognition - Hamid R. Arabnia

Image Processing, Computer Vision, and Pattern Recognition

Hamid R. Arabnia (Redaktør) ; Leonidas Deligiannidis (Redaktør) ; Fernando G. Tinetti (Redaktør)

This volume contains the proceedings of the 2017 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'17). Les mer
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Vår pris: 2059,-

(Paperback) Fri frakt!
Leveringstid: Usikker levering*
*Vi bestiller varen fra forlag i utlandet. Dersom varen finnes, sender vi den så snart vi får den til lager

This volume contains the proceedings of the 2017 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'17).
FAKTA
Utgitt:
Forlag: C. S. R. E. A.
Innbinding: Paperback
Språk: Engelsk
ISBN: 9781601324641
Format: 28 x 20 cm
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VURDERING
Gi vurdering
Les vurderinger
Imaging Science and Novel Applications
Manifold Transfer Subspace Learning (MTSL) for High Dimensional Data-Applications to Handwritten Digits and Health Informatics
Real-time, Quasi Immersive, High Definition Automotive 3D Surround View System
Cellular Automata Design for Digital Ornaments
Estimation of 2D and 3D Texture at Micro-Scale Using Independent Component Analysis
Surveillance using Thermal-Imaging Sensors
A Variable Circular-Shift Image-Encryption Algorithm
Video Processing + Compression and Applications
A Novel Video Matting Approach Based on Closed-Form Solutions and Probability Density Functions
A Multithreaded Robust C/C++ Implementation of Video Data Compression
Probability Based Fast Prediction by Using Inter-View Correlation for 3D Video Coding
Recognition Systems, Tracking, Detection, and Applications
Extraction of Textual Information from Images Using Mobile Devices
Face Recognition with Connecting Uniform and Center-Symmetric Local Binary Patterns in a Support Vector Machine
Triangular Road Signs Detection and Recognition Algorithm and its Embedded System Implementation
Face Sketch Synthesis: A Neural Style Approach
Computer Vision, Recognition and Detection Systems + Applications
An Extension to the INCA Model for Probabilistic Gestural Recognition
Automated Color Variation Flaw Inspection of LCD Panels Using Computer Vision
Dense Pixel Correspondence based Gender Recognition of Facial Images
Hamid R. Arabnia is Professor, Computer Science; Editor-in-Chief, The Journal of Supercomputing (Springer); Elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM); The University of Georgia, Department of Computer Science.