A 2d Shape Structure For Decomposition And Part Similarity
2016 23RD INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)(2016)
摘要
This paper presents a multilevel analysis of 2D shapes and uses it to find similarities between the different parts of a shape. Such an analysis is important for many applications such as shape comparison, editing, and compression. Our robust and stable method decomposes a shape into parts, determines a parts hierarchy, and measures similarity between parts based on a salience measure on the medial axis, the Weighted Extended Distance Function, providing a multi-resolution partition of the shape that is stable across scale and articulation. Comparison with an extensive user study on the MPEG-7 database demonstrates that our geometric results are consistent with user perception.
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关键词
2D shape structure,parts similarity,multilevel 2D shape analysis,robust method,parts hierarchy,salience measure,weighted extended distance function,multiresolution shape partition,MPEG-7 database,parts decomposition
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