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

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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.