Abstract
Decomposing a shape into meaningful components plays a strong role in shape-related applications. In this paper, we combine properties of skeleton and boundary to implement a general shape decomposition approach. It is motivated by recent studies in visual human perception discussing the importance of certain shape boundary features as well as features of the shape area; it utilizes certain properties of the shape skeleton combined with boundary features to determine protrusion strength. Experiments yield results similar to those from human subjects on abstract shape data. Also, experiments of different data sets prove the robustness of the combined skeleton-boundary approach. © 2008 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Zeng, J., Lakaemper, R., Yang, X., & Li, X. (2008). 2D shape decomposition based on combined skeleton-boundary features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5359 LNCS, pp. 682–691). https://doi.org/10.1007/978-3-540-89646-3_67
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