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Frontiers of Computer Vision: 29th International Workshop, IW-FCV 2023, Yeosu, South Korea, February 2022, 2023, Revised Selected Papers 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 179 pages, height x width: 235x155 mm, weight: 302 g, 87 Illustrations, color; 6 Illustrations, black and white; XII, 179 p. 93 illus., 87 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1857
  • Izdošanas datums: 01-Aug-2023
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9819949130
  • ISBN-13: 9789819949137
  • Mīkstie vāki
  • Cena: 100,46 €*
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  • Formāts: Paperback / softback, 179 pages, height x width: 235x155 mm, weight: 302 g, 87 Illustrations, color; 6 Illustrations, black and white; XII, 179 p. 93 illus., 87 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1857
  • Izdošanas datums: 01-Aug-2023
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9819949130
  • ISBN-13: 9789819949137

This book constitutes refereed proceedings of the 29th International Workshop on Frontiers of Computer Vision, IW-FCV 2023, held in  Yeosu, South Korea in February 20–22, 2023. This workshop is an annual event that brings together researchers in the field of computer vision and artificial intelligence to share their research results. The workshop was started 29 years ago as a way to strengthen networking and share research results between Japanese and Korean researchers, and it has since grown in scope and influence, so from 2017, the workshop became an international event. 

 

The 13 full papers presented in this volume were thoroughly reviewed and selected from 72 submissions in 8 countries. The papers are dealing with the following topics:basic theories related to image processing, computer vision, image media, and human interface, as well as all research fields in applied fields such as autonomous vehicle driving, robot automation, and image content recognition. Recently, topics related to application of medical, bio, and entertainment field applying artificial intelligence , and more. 

Multi-Attributed Face Synthesis for One-Shot Deep Face
Recognition.- Efficient Multi-Receptive Pooling for Object Detection on
Drone.- Rough Target Region Extraction with Background Learning.- Dynamic
Circular Convolution for Image Classification.- Classification of Lung and
Colon Cancer Using Deep  Learning Method.- A Style-based Caricature
Generator.- Attribute Auxiliary Clustering for Person
Re-identification.- YOLO5PKLot: A Parking Lot Detection Network Based on
Improved YOLOv5 for Smart Parking Management System.- Texture Synthesis Based
on Aesthetic Texture Perception Using CNN Style and Content Features.- Robust
Scene Text Detection under Occlusion via Multi-Scale Adaptive Deep
Network.- classification of Lung and Colon Cancer Using Deep  Learning
Method.- Front Cover Image Database of Japanese Manga and Typeface Estimation
of their Title.- Human Face Detector with Gender Identification by
Split-based Inception Block and Regulated Attention Module.