The wide usage of 3D mesh models greatly increases the importance of an effective matching algorithm for them. In this paper, we propose a novel 3D model matching algorithm. Firstly, vertices on the input 3D mesh models are mapped to 1D space by employing Isomap. A pose-invariant feature set is then constructed from the vertices in 1D space. Finally, the similarity between any two 3D models can be computed by comparing their feature sets. Experimental results show that the algorithm is not only invariant to translation, rotation, scaling, but also invariant to different poses of 3D models. Additionally, the algorithm is robust to noise.
Abstract. Hint-based Locating & Routing Mechanism (HBLR) derives from the locating & routing mechanism in Freenet. HBLR uses file location hint to enhance the performance of file searching and downloading. In comparison with its ancestor, HBLR saves storage space and reduces file request latency. However, because of the inherent fallibility of hint, employing location hint naively for file locating in P2P file-sharing system will lead to under-expectant performance. In this paper, hint's uncertainty and related bad results are analyzed. According to the causation, pertinent countermeasures including credible hint, master-copy transfer, and file existence pre-detection are proposed. Simulation shows the performance of HBLR is improved by adopting the proposed policies.
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