[HTML][HTML] Face spoofing, age, gender and facial expression recognition using advance neural network architecture-based biometric system

S Kumar, S Rani, A Jain, C Verma, MS Raboaca, Z Illés… - Sensors, 2022 - mdpi.com
Nowadays, the demand for soft-biometric-based devices is increasing rapidly because of the
huge use of electronics items such as mobiles, laptops and electronic gadgets in daily life …

Reconstruction of 3D digital heritage objects for VR and AR applications

S Van Nguyen, ST Le, MK Tran… - Journal of Information and …, 2022 - Taylor & Francis
Constructing the 3D objects based on geometric modelling and graphical techniques is a
well-known research activity applied in computer graphics. Techniques to process graphical …

Review of computer-based methods for archaeological ceramic sherds reconstruction

D Eslami, L Di Angelo, P Di Stefano… - Virtual Archaeology …, 2020 - riunet.upv.es
[ES] Las cerámicas son los hallazgos más numerosos encontrados en las excavaciones
arqueológicas; a menudo se usan para obtener información sobre la historia, la economía y …

[HTML][HTML] Deep learning-based masonry wall image analysis

Y Ibrahim, B Nagy, C Benedek - Remote Sensing, 2020 - mdpi.com
In this paper we introduce a novel machine learning-based fully automatic approach for the
semantic analysis and documentation of masonry wall images, performing in parallel …

The integration of 3D technologies and finite element analysis (FEA) for the restoration of an ancient terra sigillata plate

N Papas, K Tsongas, D Karolidis, D Tzetzis - Digital Applications in …, 2023 - Elsevier
The current study presents a novel approach for restoring a partly preserved archaeological
find with the combination of 3D scanning, 3D printing and Finite Element Analysis (FEA) …

Artificial neural networks exploiting point cloud data for fragmented solid objects classification

A Baiocchi, S Giagu, C Napoli, M Serra… - Machine Learning …, 2023 - iopscience.iop.org
This paper presents a novel approach for fragmented solid object classification exploiting
neural networks based on point clouds. This work is the initial step of a project in …

A 3D template-based point generation network for 3D reconstruction from single images

A Yuniarti, AZ Arifin, N Suciati - Applied Soft Computing, 2021 - Elsevier
Learning-based approaches in 3D reconstruction problem have attracted researchers, due
to the excellent performance of this approach in image segmentation and image …

Snowvision: Segmenting, identifying, and discovering stamped curve patterns from fragments of pottery

Y Lu, J Zhou, ST McDorman, C Zhang, D Scott… - International Journal of …, 2022 - Springer
Abstract In southeastern North America, Indigenous potters and woodworkers carved
complex, primarily abstract, designs into wooden pottery paddles, which were subsequently …

A hybrid 3D object auto-completion approach with self-supervised data augmentation for fragments of archaeological objects

A Stasinakis, E Chatzilari, S Nikolopoulos… - Journal of Cultural …, 2022 - Elsevier
It is a common case that archaeological finds are frequently found in fragments and cannot
always be reassembled in their entirety. Additionally, the completion of their shape and …

[PDF][PDF] 3D Reconstruction technique from 2D sequential human body images in sports: A review

A Shapii, S Pichak, ZR Mahayuddin - Technol. Rep. Kansai Univ, 2020 - researchgate.net
The process of 3D Reconstruction is a fundamental problem in Computer Vision. However,
recent researches have been successfully addressed by motion capture systems with body …