Simplification Resilient LDPC-Coded Sparse-QIM Watermarking for 3D-Meshes
This addresses the need for robust watermarking in 3D meshes against simplification, which is important for applications like digital rights management and content protection.
The paper tackles the problem of blind watermarking for 3D meshes by proposing a scheme that combines sparse quantization index modulation with deletion correction codes, achieving two orders of magnitude better performance in recovered watermark bit error rate compared to existing schemes.
We propose a blind watermarking scheme for 3-D meshes which combines sparse quantization index modulation (QIM) with deletion correction codes. The QIM operates on the vertices in rough concave regions of the surface thus ensuring impeccability, while the deletion correction code recovers the data hidden in the vertices which is removed by mesh optimization and/or simplification. The proposed scheme offers two orders of magnitude better performance in terms of recovered watermark bit error rate compared to the existing schemes of similar payloads and fidelity constraints.