Description
Book SynopsisThis 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.
Table of ContentsPapers.- 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.
