2017/07/28 by Yong Wang, Wang, Yong, Huaiyu Wu +1
Computer Science · Engineering · Environmental Science · #3D Shape Modeling and Analysis #FOS: Computer and information sciences #Graphics (cs.GR) #Image Processing and 3D Reconstruction #Remote Sensing and LiDAR Applications
paper · pdf · doi:10.48550/arxiv.1707.09123
openalex publication_date 2017/07/28 · openalex created_date 2017/08/08 · openalex updated_date 2026/07/28
How to establish the matching (or corresponding) between two different 3D shapes is a classical problem. This paper focused on the research on shape mapping of 3D mesh models, and proposed a shape mapping algorithm based on Hidden Markov Random Field and EM algorithm, as introducing a hidden state random variable associated with the adjacent blocks of shape matching when establishing HMRF. This algorithm provides a new theory and method to ensure the consistency of the edge data of adjacent blocks, and the experimental results show that the algorithm in this paper has a great improvement on the shape mapping of 3D mesh models.