Robust 3D mesh hashing based on shape features
Suk‐Hwan Lee, Eung-Joo Lee, Ki‐Ryong Kwon · 2010
In this paper, a robust 3D mesh hashing method based on a key-dependent 3D surface feature is developed. The main objectives of the proposed hashing method are to show robustness against content-preserved attacks and to enable blind-detection without using any preprocessing techniques for the attacks. To achieve these objectives, the proposed hashing method projects all vertices to the shape coordinates of 3D SSD and curvedness, and then, it segments the shape coordinates into rectangular blocks and computes the block shape intensity using a permutation key and a random key. A hash is generated by binarizing the block shape intensity. Experimental results confirm that the proposed hashing method shows robustness against geometrical and topological attacks and provides a unique hash for each model and key.