Parag Agarwal

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The commercial reuse of 3D motion capture (Mocap) data in animation and life sciences raises issues with respect to its copyright. In order to improvise content protection of Mocap data, we devise a substitutive blind watermarking technique. This technique visualizes 3D Mocap data as a series of non-intersecting cluster of triangles. Bits are encoded inside(More)
Watermarking schemes for copyright protection of point cloud representation of 3D models operate only on the geometric data, and are also applicable to mesh based representations of 3D models, defined using geometry and topological information. For building such generic copyright schemes for 3D models, this paper presents a robust spatial blind watermarking(More)
Mobile Ad hoc Network (MANET) is a multihop wireless network of mobile nodes without any fixed infrastructure. In the absence of dedicated routers, every node contributes towards the configuration and maintenance of the routing framework. Routing protocols need to consider interrelated factors like node mobility, bandwidth scarcity and energy constraints.(More)
Repositories of motion captured (MoCap) data can be reused for human motion analysis in physical medicine, biomechanics and animation related entertainment industry. MoCap data expressed as a matrix M m x n can be subject to tampering from shuffling of its elements or change in element values due to motion editing operations. Tampering of archived motion(More)
The paper discusses an approach involving digital image processing and geometric logic for recognition of two dimensional shapes of objects such as squares, circles, rectangles and triangles as well as the color of the object. This approach can be extended to applications like robotic vision and computer intelligence. The methods involved are three(More)
In this paper, we propose a scheme to enhance the robustness of authentication based watermarking algorithms for 3D models (3D meshes) against compression and decompression. We target different compression techniques such as Compressed Progressive Meshes (CPM) [9], Progressive Forest Split (PFS) compression [11], and Progressive Mesh (PM) [7]. The idea(More)
— The paper improves the reliability of audio streams in a lossy channel. The mechanism groups audio data samples into source and carrier sets. The carrier set carry the information about the source set which is encoded using data hiding methodology-quantization index modulation. At the receiver side, a missing source data sample can be reconstructed using(More)