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Computer Vision – ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part V: Lecture Notes in Computer Science, cartea 11365

Editat de C.V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler
en Limba Engleză Paperback – 26 mai 2019
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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Specificații

ISBN-13: 9783030208721
ISBN-10: 3030208729
Pagini: 713
Ilustrații: XX, 727 p. 464 illus., 308 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.03 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics

Locul publicării:Cham, Switzerland

Cuprins

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.