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Computer Vision - ACCV 2018

Computer Vision - ACCV 2018 : 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part I

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Description

The six volume set LNCS 11361-11366 constitutes the proceedings of the 14th Asian Conference on Computer Vision, ACCV 2018, held in Perth, Australia, in December 2018. The total of 274 contributions was carefully reviewed and selected from 979 submissions during two rounds of reviewing and improvement. The papers focus on motion and tracking, segmentation and grouping, image-based modeling, dep learning, object recognition object recognition, object detection and categorization, vision and language, video analysis and event recognition, face and gesture analysis, statistical methods and learning, performance evaluation, medical image analysis, document analysis, optimization methods, RGBD and depth camera processing, robotic vision, applications of computer vision.
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Product details

  • Paperback | 722 pages
  • 155 x 235 x 37.59mm | 1,122g
  • Cham, Switzerland
  • English
  • 1st ed. 2019
  • 267 Illustrations, color; 57 Illustrations, black and white; XX, 722 p. 324 illus., 267 illus. in color.
  • 3030208869
  • 9783030208868

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  1. Categories:
  2. Graphical & Digital Media Applications
  3. Computer Hardware
  4. Computer Networking & Communications
  5. Computer Science
  6. Mathematical Theory Of Computation
  7. Maths For Computer Scientists
  8. Artificial Intelligence
  9. Computer Vision
  10. Image Processing

Table of contents

Motion and Tracking.- Stereo and Structure from Motion.- Segmentation and Grouping.- Image-Based Modeling.- Deep Learning for Vision.- Illumination and Reflectance Modeling.- Sensors & Early and Biologically-Inspired Vision.- Computational Photography and Video.- Object Recognition, Object Detection and Categorization.- Vision and Language.- Video Analysis and Event Recognition.- Face and Gesture Analysis.- Statistical Methods and Learning.- Performance Evaluation.- Medical Image Analysis.- Document Analysis Optimization Methods.- RGBD and Depth Camera Processing.- Robotic Vision Applications of Computer Vision.
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