Levenberg–Marquardt deep neural watermarking for 3D mesh using nearest centroid salient point learning

Levenberg–Marquardt deep neural watermarking for 3D mesh using nearest centroid salient point learning

Abstract Watermarking is one of the crucial techniques in the domain of information security, preventing the exploitation of 3D Mesh models in the era of Internet. In 3D Mesh watermark embedding, moderately perturbing the vertices is commonly required to retain them in certain pre-arranged relations...

Full description

Bibliographic Details
Main Authors: Modigari Narendra, M. L. Valarmathi, L. Jani Anbarasi, Amir H. Gandomi
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Discrete Gaussian geometric
Salient point detection
Multi-function barycenter
Levenberg–Marquardt
Deep neural network
Online Access:https://doi.org/10.1038/s41598-024-57360-z

Internet

https://doi.org/10.1038/s41598-024-57360-z

Similar Items