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Robust 3D Hashing Algorithm Using Key-dependent Block Surface Coefficient  

Lee, Suk-Hwan (Dept. of Information security, Tongmyong University)
Kwon, Ki-Ryong (Div. of Electronics, Computer & Telecommunication, Pukyong National University)
Publication Information
Abstract
With the rapid growth of 3D content industry fields, 3D content-based hashing (or hash function) has been required to apply to authentication, trust and retrieval of 3D content. A content hash can be a random variable for compact representation of content. But 3D content-based hashing has been not researched yet, compared with 2D content-based hashing such as image and video. This paper develops a robust 3D content-based hashing based on key-dependent 3D surface feature. The proposed hashing uses the block surface coefficient using shape coordinate of 3D SSD and curvedness for 3D surface feature and generates a binary hash by a permutation key and a random key. Experimental results verified that the proposed hashing has the robustness against geometry and topology attacks and has the uniqueness of hash in each model and key.
Keywords
3D model hashing; Block surface coefficient; SSD(Shape spectrum descriptor; Curvedness;
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Times Cited By KSCI : 2  (Citation Analysis)
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