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Computer Vision, Imaging and Computer Graphics Theory and Applications: 17th International Joint Conference, VISIGRAPP 2022, Virtual Event, February 68, 2022, Revised Selected Papers 1st ed. 2023 [Pehme köide]

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  • Formaat: Paperback / softback, 322 pages, kõrgus x laius: 235x155 mm, kaal: 534 g, 161 Illustrations, color; 12 Illustrations, black and white; XX, 1 p. 173 illus., 161 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 1815
  • Ilmumisaeg: 18-Oct-2023
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031457242
  • ISBN-13: 9783031457241
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Computer Vision, Imaging and Computer Graphics Theory and Applications: 17th International Joint Conference, VISIGRAPP 2022, Virtual Event, February 68, 2022, Revised Selected Papers 1st ed. 2023Suurem pilt
  • Formaat: Paperback / softback, 322 pages, kõrgus x laius: 235x155 mm, kaal: 534 g, 161 Illustrations, color; 12 Illustrations, black and white; XX, 1 p. 173 illus., 161 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 1815
  • Ilmumisaeg: 18-Oct-2023
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031457242
  • ISBN-13: 9783031457241
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031457241.html
Märksõnad:
This book constitutes the referred proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2022, Virtual Event, February 6–8, 2022.

 

The 15 full papers included in this book were carefully reviewed and selected from 392 submissions. The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and applications of computer vision, computer graphics and information visualization. VISIGRAPP is composed of four co-located conferences, each specialized in at least one of the aforementioned main knowledge areas, namely GRAPP, IVAPP, HUCAPP and VISAPP. 

Papers.- Automatic Threshold RanSaC Algorithms for Pose Estimation
Tasks.- Semi-Automated Generation of Accurate Ground-Truth for 3D Object
Detection.- A Quantitative and Qualitative Analysis on a GAN-based Face Mask
Removal on Masked Images and Videos.- A Quantitative and Qualitative Analysis
on a GAN-based Face Mask Removal on Masked Images and Videos.- Partial
Alignment of Time Series for Action and Activity Prediction.- Automatic
Bi-LSTM Architecture Search Using Bayesian Optimisation for Vehicle Activity
Recognition.- ANTENNA: Visual Analytics of Mobility Derived from Cellphone
Data.- Influence of Errors on the Evaluation of Text Classification
Systems.- Autonomous Navigation Method Considering Passenger Comfort
Recognition for Personal Mobility Vehicles in Crowded Pedestrian Spaces.- The
Electrodermal Activity of Player Experience in Virtual Reality Games: An
Extended Evaluation of the Phasic Component.- MinMax-CAM: Increasing
Precision of Explaining Maps by Contrasting Gradient Signals and Regularizing
Kernel Usage.- DIAR: Deep Image Alignment and Reconstruction Using Swin
Transformers.- Active Learning with Data Augmentation Under Small vs Large
Dataset Regimes for Semantic-KITTI Dataset.- Transformers in Unsupervised
Structure-from-Motion.- A Study of Aerial Image-based 3D Reconstructions in a
Metropolitan Area.