A multi-resolution fractal additive scheme for blind watermarking of 3D point data

Mark Rahmes; Kathy Wilder; Kevin Fox

doi:10.1117/12.2009020

28 May 2013 A multi-resolution fractal additive scheme for blind watermarking of 3D point data

Mark Rahmes, Kathy Wilder, Kevin Fox

Proceedings Volume 8757, Cyber Sensing 2013; 87570G (2013) https://doi.org/10.1117/12.2009020
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

We present a fractal feature space for 3D point watermarking to make geospatial systems more secure. By exploiting the self similar nature of fractals, hidden information can be spatially embedded in point cloud data in an acceptable manner as described within this paper. Our method utilizes a blind scheme which provides automatic retrieval of the watermark payload without the need of the original cover data. Our method for locating similar patterns and encoding information in LiDAR point cloud data is accomplished through a look-up table or code book. The watermark is then merged into the point cloud data itself resulting in low distortion effects. With current advancements in computing technologies, such as GPGPUs, fractal processing is now applicable for processing of big data which is present in geospatial as well as other systems. This watermarking technique described within this paper can be important for systems where point data is handled by numerous aerial collectors including analysts use for systems such as a National LiDAR Data Layer.

Citation Download Citation

Mark Rahmes, Kathy Wilder, and Kevin Fox "A multi-resolution fractal additive scheme for blind watermarking of 3D point data", Proc. SPIE 8757, Cyber Sensing 2013, 87570G (28 May 2013); https://doi.org/10.1117/12.2009020

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