Title
An efficient volumetric matching algorithm based on MSVs and 3DSURF
Document Type
Conference Proceeding
Publication Date
8-20-2013
Abstract
Volumetric matching is an important tool in volume image analysis. In this paper, we propose an efficient volumetric matching framework to extract coarse correspondences between given volume images. The framework includes two steps. First, we extract features based on a Maximally Stable Volumes (MSVs) algorithm then build feature descriptors using a scale-related 3DSURF algorithm reliable to scale changes. Then, we match features using a Spectral Matching (SM) algorithm. We show the effectiveness and robustness of our algorithm on both synthetic and clinical medical images. © 2013 IEEE.
Publication Source (Journal or Book title)
Proceedings of the 8th International Conference on Computer Science and Education, ICCSE 2013
First Page
1029
Last Page
1034
Recommended Citation
Chen, P., Li, M., & Li, X. (2013). An efficient volumetric matching algorithm based on MSVs and 3DSURF. Proceedings of the 8th International Conference on Computer Science and Education, ICCSE 2013, 1029-1034. https://doi.org/10.1109/ICCSE.2013.6554065