Combining Boundary and Skeleton Information for Convex and Concave Points Detection
作者： Ali Salem Bin Samma , Abdullah Zawawi Talib , Rosalina Abdul Salam
DOI: 10.1109/CGIV.2010.25
关键词: Effective domain 、 Computation 、 Convex hull 、 Mathematical optimization 、 Cognitive neuroscience of visual object recognition 、 Object detection 、 Convex combination 、 Regular polygon 、 Robustness (computer science) 、 Mathematics
摘要: Basically, detecting convex and concave points on the boundary of an object plays important role in computer vision, recognition image understanding. In this paper a method that combines skeleton information for these critical is proposed. Specifically, developed with aim obtaining high performance efficiency, producing more robust minimum cost computation. Furthermore, faster execution proposed method, detection can be run concurrently. order to evaluate results are compared three related methods. The experimental have shown provides better output rate.
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