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Produktbild: Computer Vision, Imaging and Computer Graphics Theory and Applications
Band 1815

Computer Vision, Imaging and Computer Graphics Theory and Applications 17th International Joint Conference, VISIGRAPP 2022, Virtual Event, February 6–8, 2022, Revised Selected Papers

Aus der Reihe Communications in Computer and Information Science

Fr. 112.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.10.2023

Herausgeber

A. Augusto de Sousa + weitere

Verlag

Springer

Seitenzahl

348

Maße (L/B/H)

23.5/15.5/1.9 cm

Gewicht

528 g

Auflage

1st edition 2023

Sprache

Englisch

ISBN

978-3-031-45724-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

18.10.2023

Herausgeber

Verlag

Springer

Seitenzahl

348

Maße (L/B/H)

23.5/15.5/1.9 cm

Gewicht

528 g

Auflage

1st edition 2023

Sprache

Englisch

ISBN

978-3-031-45724-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Computer Vision, Imaging and Computer Graphics Theory and Applications
  • 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.