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9th International Conference on Machine Vision (ICMV)

作者： Hachicha, Soumaya Elkefi, Akram Ben Amar, Chokri Univ Sfax ENIS Res Grp Intelligent Machines REGIM Lab BP 1173 Sfax 3038 Tunisia

ISBN: (纸本)9781510611320

3D multiresolution mesh compression systems are still widely addressed in many domains. These systems are more and more requiring volumetric data to be processed in real-time. Therefore, the performance is becoming constrained by material resources usage and an overall reduction in the computational time. In this paper, our contribution entirely lies on computing, in real-time, triangles neighborhood of 3D progressive meshes for a robust compression algorithm based on the scan-based wavelet transform(WT) technique. The originality of this latter algorithm is to compute the WT with minimum memory usage by processing data as they are acquired. However, with large data, this technique is considered poor in term of computational complexity. For that, this work exploits the GPU to accelerate the computation using OpenCL as a heterogeneous programming language. Experiments demonstrate that, aside from the portability across various platforms and the flexibility guaranteed by the OpenCL-based implementation, this method can improve performance gain in speedup factor of 5 compared to the sequential CPU implementation.

关键词： 3D compression multiresolution mesh triangles neighborhood GPU OpenCL

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GPU-Based Blind Watermarking Scheme for 3D multiresolution meshes Using Unlifted Butterfly Wavelet Transformation

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2020年第3期39卷 1533-1560页

作者： Hachicha, Soumaya Sayahi, Ikbel Elkefi, Akram Amar, Chokri Ben Zaied, Mourad Univ Sfax Natl Engn Sch Sfax ENIS Sfax Tunisia Private Natl Engn Sch Monastir ESPRIMS Monastir 5060 Tunisia Univ Gabes Natl Engn Sch Gabes ENIG Gabes Tunisia

3D mesh watermarking in the transform domain requires significant computational complexity. This is due mainly to the incessant use of high-resolution meshes which require more and more resources. Normally, this is an expensive work that harms the commercial chain of low computational cost applications requiring content protection or enrichment. To tackle this issue, we proposed herein a high-capacity and blind watermarking scheme for 3D multiresolution semi-regular meshes while maintaining a trade-off between efficiency and robustness. For this purpose, our solution uses an unlifted butterfly wavelet transform technique that explores the computing power of the Graphic Processing Units (GPU) architecture and the Open Computing Language (OpenCL) framework. The robustness was optimized by generating a turbo-encoded watermark. This latter is embedded in the wavelet coefficients after their spherical parametrization at various levels of details using the least significant bit technique. The method allows a better imperceptibility of the watermark and invariability to affine transformation. It also shows comparative robustness against most of the geometric attacks including additive noise, quantization, smoothing and compression. Moreover, the comparison with other serial watermarking schemes proves the effectiveness in terms of computational complexity of our method. OpenCL embedding implementation offers 3-9 x speedups with a low-power GPU architecture for different mesh sizes. In case of extraction procedure, the speedups obtained vary between 2 x and 12 x.

关键词： 3D watermarking multiresolution mesh LSB OpenCL Unlifted BWT GPU parallel programming

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GPU Paralleled Transformation and Quantization for Wavelet-Based Bitplane Coding of multiresolution meshes 12

GPU Paralleled Transformation and Quantization for Wavelet-B...

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12th International Conference on Machine Vision (ICMV)

作者： Hachicha, Soumaya Elkefi, Akram Ben Amar, Chokri Zaied, Mourad Univ Sfax ENIS REGIM Lab REs Grp Intelligent Machines BP 1173 Sfax 3038 Tunisia

ISBN: (纸本)9781510636446

Fast mesh compression is becoming a requisite in several applications such as medical imaging and video games. Graphics Processing Units (GPUs) are recently becoming massively parallel devices for Single Instruction, Multiple Data (SIMD) computing, addressing hence greater implementation challenges. Transformation and Quantization (TQ) is considered the second highest workload part of the wavelet-based mesh coding. Therefore, its acceleration will further improve the overall processing speed of the coding. In this paper, an OpenCL (Open Computing Language) acceleration of TQ is proposed. The Butterfly Wavelet Transform (BWT) based on the unlifted scheme is adopted in the transformation method while the embedded deadzone quantization is employed for the wavelet quantization. A chunk rearrangement process is applied for the computation of the neighborhood information needed for the Butterfly subdivision stencils. Accordingly, every chunk proceeds independently the prediction of the wavelet coefficients and their quantization. The key insights behind the proposed TQ method on GPU are a smart memory management and an efficient memory data mapping. Extensive experimental assessments demonstrate the effectiveness of our GPU implementation in terms of memory and runtime costs while preserving the rate distortion performance of the state-of-the-art Bitplane coder.

关键词： multiresolution mesh Bitplane coding GPU SIMD OpenCL TQ unlifted BWT

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Robust and Hybrid Crypto-watermarking Approach for 3D multiresolution meshes Security 16

Robust and Hybrid Crypto-watermarking Approach for 3D Multir...

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16th International Conference on Software Technologies (ICSOFT)

作者： Sayahi, Ikbel Ben Amar, Chokri Sfax Univ REs Grp Intelligent Machines Lab REGIM Lab Soukra St Sfax Tunisia Private Natl Engn Sch Monastir ESPRIMS Monastir 5060 Tunisia Taif Univ Coll Comp & Informat Technol At Taif Saudi Arabia

ISBN: (纸本)9789897585234

Since the release of the first 3D watermarking algorithm, several approaches have grown up with a diversity of techniques used during the embedding of information into meshes. The main objective is always to secure data shared by remote users. The originality of the present work is issued from combining encryption and hybrid watermarking algorithm to secure 3D multiresolution meshes. The new crypto-watermarking system is composed of three parts: the first part is said watermark preparation and it aims to prepare data to be inserted. During this step, the logo (which refers to copyright information) is encrypted using RSA (Rivest, Shamir,Adleman) algorithm and then encoded by applying a convolutional encoder to the encrypted logo already transformed into a binary sequence. As for the second part, it is called mesh preparation and it consists on decomposing the 3D multiresolution mesh by applying wavelet transform to generate wavelet coefficient vector. Finally, the third part of our algorithm, called hybrid watermarking, occurs to insert encrypted logo and RSA keys into both multiresolution and spatial presentations of the mesh. In fact, the encrypted logo is inserted into resulting wavelet coefficients after applying the transformation to spherical coordinate system, modulation and demodulation. As for RSA key, it is inserted into the mesh resulting from the first watermarking around by modifying geometric information of vertices. Found results prove that we are able to insert a high amount of data without influencing the mesh quality. The application of the most popular attacks does not prevent a correct extraction of data already inserted which is justified by the use of the RSA to encode the watermark and the convolutional error correcting code to retrieve the corrupted information. Our algorithm is, then, robust against these attacks.

关键词： 3D Watermarking multiresolution mesh Wavelet Transform RSA Algorithm Robustness Copyright Indexation

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Multi-resolution-based mesh Registration

Multi-resolution-based Mesh Registration

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The 8th International Conference on Computer Supported Cooperative Work in Design(第八届计算机支持的协同工作设计国际会议)(CSCWD2004)

作者： XueSong Chen JinXiang Dong LiangJun Zhang RuoFeng Tong Stare Key Laboratory of CAD & CG Zhejiang UniversityHangzhou310027China Stare Key Laboratory of CAD & CG Zhejiang UniversityHangzhou310027China Institute of Artificial I

ISBN: (纸本)0780379411

This paper introduces a multi-resolution-basedmethod for the accurate and computationally efficientregistration of complex triangle meshes. As an improvedmethod of ICP (Iterative Closest Point), our algorithmspeeds up the convergence. PM (Progressive mesh) isused as the representation of a multi-resolution mesh. In addition, we present a new method to guaranteethe registration to converge on the desired globalminimum. As we know ICP stars with two meshes andan initial guess for their relative rigid-body *** the initial guess is not proper, it may fall intowrong local minima. Our method can find out an initialtransform which lead to a correct registration.

关键词： mesh generation image registration image resolution convergence of numerical methods computational geometry mesh registration triangle meshes iterative closest point progressive mesh multiresolution mesh rigid-body transform

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