document: Evaluation of existing and new feature recognition algorithms . 2 . Experimental results For pt .1 see ibid. , p.839-851 . This is the second of two papers investigating the performance of general-purpose feature detection techniques . The first paper describes the development of a methodology to synthesize possible general feature detection face sets . Six algorithms resulting from the synthesis have been designed and implemented on a SUN Workstation in C++ using ACIS as the geometric modelling system . In this paper , extensive tests and comparative analysis are conducted on the feature detection algorithms , using carefully selected components from the public domain , mostly from the National Design Repository . The results show that the new and enhanced algorithms identify face sets that previously published algorithms can not detect . The tests also show that each algorithm can detect , among other types , a certain type of feature that is unique to it . Hence , most of the algorithms discussed in this paper would have to be combined to obtain complete coverage
doc_bio_tags: O O O O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O
extractive_keyphrases: feature recognition algorithms national design repository face sets
abstractive_keyphrases: general-purpose feature detection techniques convex hull concavity