Please use this identifier to cite or link to this item:
標題: Data hiding approach for point-sampled geometry
作者: Wang, C.M.
Wang, P.C.
關鍵字: PCA;point-sampled geometry;steganography
Project: Ieice Transactions on Communications
期刊/報告no:: Ieice Transactions on Communications, Volume E88B, Issue 1, Page(s) 190-194.
We present a novel scheme for digital steganography of point-sampled geometry in the spatial domain. Our algorithm is inspired by the concepts proposed by Cayre and Macq for 3D polygonal models. It employs a principal component analysis (PCA), resulting in a blind approach. We validate our scheme with various model complexities in terms of capacity, complexity, visibility, and security. This scheme is robust against translation, rotation, and scaling operations. It is fast and can achieve high data capacity with insignificant visual distortion in the stego models.
ISSN: 0916-8516
DOI: 10.1093/ietcom/E88-B.1.190
Appears in Collections:資訊科學與工程學系所

Show full item record

Google ScholarTM




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.