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.
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Chung-Ming WANG, Peng-Cheng WANG, "Data Hiding Approach for Point-Sampled Geometry" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 1, pp. 190-194, January 2005, doi: 10.1093/ietcom/e88-b.1.190.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.1.190/_p
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@ARTICLE{e88-b_1_190,
author={Chung-Ming WANG, Peng-Cheng WANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Data Hiding Approach for Point-Sampled Geometry},
year={2005},
volume={E88-B},
number={1},
pages={190-194},
abstract={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.},
keywords={},
doi={10.1093/ietcom/e88-b.1.190},
ISSN={},
month={January},}
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TY - JOUR
TI - Data Hiding Approach for Point-Sampled Geometry
T2 - IEICE TRANSACTIONS on Communications
SP - 190
EP - 194
AU - Chung-Ming WANG
AU - Peng-Cheng WANG
PY - 2005
DO - 10.1093/ietcom/e88-b.1.190
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2005
AB - 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.
ER -