A shape-preserving data embedding algorithm for NURBS curves and surfaces

Ohbuchi, Ryutarou; Masuda,; Aono,

doi:10.1109/cgi.1999.777952

Cited by 68 publications

(32 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In CAD domain, information assurance research has been partially addressed through the development of 3D digital watermarking [16,17,19]. It has been used to ensure the integrity of a model as well as provide a foundation for proof of copyright infringement.…”

Section: Information Assurance and Access Control In 3d Modelsmentioning

confidence: 99%

Role-Based Viewing for Secure Collaborative Modeling

Christopher¹,

Kim²,

Braude³

et al. 2003

View full text Add to dashboard Cite

Information security and assurance are new frontiers for collaborative design. In this context, information assurance (IA) refers to methodologies to protect engineering information by ensuring its availability, confidentiality, integrity, non-repudiation, authentication, access control, etc. In collaborative design, IA techniques are needed to protect intellectual property, establish security privileges and create "need to know" protections on critical features. Aside from 3D watermarking, research on how to provide IA to distributed collaborative engineering teams is largely non-existent.This paper provides a framework for information assurance within collaborative design, based on a technique we call role-based viewing. Such role-based viewing is achieved through integration of multi-resolution geometry and security models. 3D models are geometrically partitioned, and the partitioning is used to create multi-resolution mesh hierarchies. Extracting a model suitable for access rights for individual actors within a collaborative design environment is driven by an elaborate access control mechanism.

show abstract

Section: Information Assurance and Access Control In 3d Modelsmentioning

confidence: 99%

Role-Based Viewing for Secure Collaborative Modeling

Christopher¹,

Kim²,

Braude³

et al. 2003

View full text Add to dashboard Cite

show abstract

“…Benedens and Busch introduced three different algorithms, each of them having robustness to certain attacks while being suitable for specific applications [22]. Algorithms that embed data in surfaces described by NURBS use changes in control points [16] or reparameterization [23]. Wavelet decomposition of polygons was used for 3-D watermarking in [24], [25].…”

mentioning

confidence: 99%

“…Some of the 3-D watermarking algorithms are based on displacing vertex locations [16], [19], [20] or on changing the local mesh connectivity [21], [23]. Minimization of local norms has been considered in the context of 3-D watermarking in [22], [29].…”

mentioning

confidence: 99%

“…However, most of the approaches developed for watermarking 3-D graphical objects are nonblind and require the knowledge of the cover media in the detection stage [9], [10], [12], [17], [20], [21], [23]- [27], [29]. Some algorithms require complex registration procedures [20]- [22], [25], [29] or should be provided with additional information about the embedding process in the detection stage [15], [16], [24].…”

mentioning

confidence: 99%

See 1 more Smart Citation

Watermarking mesh-based representations of 3-D objects using local moments

Borş

2006

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

Abstract-A new methodology for fingerprinting and watermarking three-dimensional (3-D) graphical objects is proposed in this paper. The 3-D graphical objects are described by means of polygonal meshes. The information to be embedded is provided as a binary code. A watermarking methodology has two stages: embedding and detecting the information that has been embedded in the given media. The information is embedded by means of local geometrical perturbations while maintaining the local connectivity. A neighborhood localized measure is used for selecting appropriate vertices for watermarking. A study is undertaken in order to verify the suitability of this measure for selecting vertices from regions where geometrical perturbations are less perceptible. Two different watermarking algorithms, that do not require the original 3-D graphical object in the detection stage, are proposed. The two algorithms differ with respect to the type of constraint to be embedded in the local structure: by using parallel planes and bounding ellipsoids, respectively. The information capacity of various 3-D meshes is analyzed when using the proposed 3-D watermarking algorithms. The robustness of the 3-D watermarking algorithms is tested to noise perturbation and to object cropping.

show abstract

“…Therefore, the balance between imperceptibility and robustness is needed while designing a watermarking method in accordance to the practical applications. According to the aimed application, the distinguish is made between the robust watermarking (used for the copyright protection) and the fragile watermarking (used for integrity of content) [2].…”

Section: Introductionmentioning

confidence: 99%

NonBlind Robust 3D Object Watermarking Scheme

Ashoub

Emran

Kaloup³

et al. 2018

Arab Journal of Nuclear Sciences and Applications

View full text Add to dashboard Cite

Robust digital watermarking is an evolving research area that has received a large amount of attention and became a practical solution to copyright protection. This paper proposes a robust and imperceptible non-blind watermarking method for high rate embedding into 3D polygonal meshes. Our approach consists of vertices selection, embedding and extracting steps. First, the vertices are selected for embedding if they are greater than defined threshold, and then the watermark bits are embedded directly into each vertex in spatial domain. The main attractive features of this approach are flexibility in data embedding technique and fast computation compared to other recent techniques. The experimental results showed that the proposed algorithm provides high robustness against the most common attacks. The applied attacks include connectivity attacks such as mesh smoothing, and mesh cropping and the geometric attacks such as rotations, uniform scaling and their combinations.

show abstract

A shape-preserving data embedding algorithm for NURBS curves and surfaces

Cited by 68 publications

References 19 publications

Role-Based Viewing for Secure Collaborative Modeling

Role-Based Viewing for Secure Collaborative Modeling

Watermarking mesh-based representations of 3-D objects using local moments

NonBlind Robust 3D Object Watermarking Scheme

Contact Info

Product

Resources

About