TY - GEN
T1 - An Empirical Analysis of 3D Image Processing by using Machine Learning-Based Input Processing for Man-Machine Interaction
AU - Alanya-Beltran, Joel
AU - Narang, Pravin
AU - Taufikin,
AU - Bangare, Sunil L.
AU - Valderrama-Zapata, Carlos
AU - Jaiswal, Sushma
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/4/28
Y1 - 2022/4/28
N2 - The 'human-robot interface' or HRI provides multiple assistance services in a variety of real-time applications. In robotic devices, the notion of object classification by digital visualisation is predicated on the converging of a 'three-dimensional (3D)' image into a plane-based representation. During the convergence process, the projectors in multiple planes are mistaken, resulting in identification mistakes. The information processing approach, which is based on the result showed, can lessen these misidentifications in object identification. The combining indexes are found by seeing and extending the input image in all conceivable directions. A machine learning technique is utilised to ways that improve processing precision and agility. This research paper aims to evaluate the detailed analysis of 3D image processing by using machine learning for man machine interaction. In this context, secondary analysis is to be done by taking information from different journals and articles. Google scholar, ProQuest databases are used to get relevant and proper journals related to topic.
AB - The 'human-robot interface' or HRI provides multiple assistance services in a variety of real-time applications. In robotic devices, the notion of object classification by digital visualisation is predicated on the converging of a 'three-dimensional (3D)' image into a plane-based representation. During the convergence process, the projectors in multiple planes are mistaken, resulting in identification mistakes. The information processing approach, which is based on the result showed, can lessen these misidentifications in object identification. The combining indexes are found by seeing and extending the input image in all conceivable directions. A machine learning technique is utilised to ways that improve processing precision and agility. This research paper aims to evaluate the detailed analysis of 3D image processing by using machine learning for man machine interaction. In this context, secondary analysis is to be done by taking information from different journals and articles. Google scholar, ProQuest databases are used to get relevant and proper journals related to topic.
KW - 'human-robot interface or HRI'
KW - 3D images
KW - Digital visualisation
KW - dimension modelling
KW - space projection
UR - http://www.scopus.com/inward/record.url?scp=85135453607&partnerID=8YFLogxK
U2 - 10.1109/ICACITE53722.2022.9823699
DO - 10.1109/ICACITE53722.2022.9823699
M3 - Contribución a la conferencia
AN - SCOPUS:85135453607
SN - 9781665437899
T3 - 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
SP - 2478
EP - 2482
BT - 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 April 2022 through 29 April 2022
ER -
