Image Processing, Computer Vision, and Pattern Recognition -

Image Processing, Computer Vision, and Pattern Recognition

Buch | Softcover
404 Seiten
2018
C. S. R. E. A. (Verlag)
978-1-60132-464-1 (ISBN)
138,40 inkl. MwSt
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Presents the proceedings of the 2017 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV '17).
This volume contains the proceedings of the 2017 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'17).

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.

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

Erscheinungsdatum
Reihe/Serie The 2017 WorldComp International Conference Proceedings
Verlagsort Bogart
Sprache englisch
Maße 203 x 279 mm
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
ISBN-10 1-60132-464-2 / 1601324642
ISBN-13 978-1-60132-464-1 / 9781601324641
Zustand Neuware
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