Matches in SemOpenAlex for { <https://semopenalex.org/work/W2020170143> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2020170143 abstract "In addition to invariance with respect to certain geometric transformations, there are two other key requirements for any shape recognition system. It should be flexible enough to adopt to a variety of sets of shapes with minimal training; and it should be capable of performing even in presence of occlusion. This paper describes one such shape recognition system that is currently under development. The system is based on the redundant hashing scheme of Kohonen for recognizing and correcting misspelt words. The current version of the system is meant for 2-D shapes; however, the same approach is applicable to 3-D shape recognition. In the present implementation for 2-D shapes, a polygonal approximation of the given shape is encoded in the form of a string. The encoded string is then used to generate a very small set of shape hypotheses through the use of redundant hashing. The best hypothesis from the set of competing hypotheses is selected by a very simple matching scheme followed by a verification phase based on rotation transformation. The experiments thus far indicate that the system is capable of recognizing shapes in presence of occlusion with about 5% error. The system has significant ability to adopt to new sets of shapes; it does not require any training except the building of hash index table and the corresponding shape dictionary." @default.
- W2020170143 created "2016-06-24" @default.
- W2020170143 creator A5042454789 @default.
- W2020170143 creator A5085622001 @default.
- W2020170143 date "1990-03-01" @default.
- W2020170143 modified "2023-10-16" @default.
- W2020170143 title "Two-Dimensional Shape Recognition Using Redundant Hashing" @default.
- W2020170143 doi "https://doi.org/10.1117/12.969760" @default.
- W2020170143 hasPublicationYear "1990" @default.
- W2020170143 type Work @default.
- W2020170143 sameAs 2020170143 @default.
- W2020170143 citedByCount "2" @default.
- W2020170143 crossrefType "proceedings-article" @default.
- W2020170143 hasAuthorship W2020170143A5042454789 @default.
- W2020170143 hasAuthorship W2020170143A5085622001 @default.
- W2020170143 hasConcept C104317684 @default.
- W2020170143 hasConcept C112604564 @default.
- W2020170143 hasConcept C11413529 @default.
- W2020170143 hasConcept C129641003 @default.
- W2020170143 hasConcept C153180895 @default.
- W2020170143 hasConcept C154945302 @default.
- W2020170143 hasConcept C157486923 @default.
- W2020170143 hasConcept C177264268 @default.
- W2020170143 hasConcept C185592680 @default.
- W2020170143 hasConcept C199360897 @default.
- W2020170143 hasConcept C204241405 @default.
- W2020170143 hasConcept C32990609 @default.
- W2020170143 hasConcept C33923547 @default.
- W2020170143 hasConcept C37914503 @default.
- W2020170143 hasConcept C38652104 @default.
- W2020170143 hasConcept C41008148 @default.
- W2020170143 hasConcept C55493867 @default.
- W2020170143 hasConcept C67388219 @default.
- W2020170143 hasConcept C68859911 @default.
- W2020170143 hasConcept C7757238 @default.
- W2020170143 hasConcept C89600930 @default.
- W2020170143 hasConcept C97686452 @default.
- W2020170143 hasConcept C99138194 @default.
- W2020170143 hasConceptScore W2020170143C104317684 @default.
- W2020170143 hasConceptScore W2020170143C112604564 @default.
- W2020170143 hasConceptScore W2020170143C11413529 @default.
- W2020170143 hasConceptScore W2020170143C129641003 @default.
- W2020170143 hasConceptScore W2020170143C153180895 @default.
- W2020170143 hasConceptScore W2020170143C154945302 @default.
- W2020170143 hasConceptScore W2020170143C157486923 @default.
- W2020170143 hasConceptScore W2020170143C177264268 @default.
- W2020170143 hasConceptScore W2020170143C185592680 @default.
- W2020170143 hasConceptScore W2020170143C199360897 @default.
- W2020170143 hasConceptScore W2020170143C204241405 @default.
- W2020170143 hasConceptScore W2020170143C32990609 @default.
- W2020170143 hasConceptScore W2020170143C33923547 @default.
- W2020170143 hasConceptScore W2020170143C37914503 @default.
- W2020170143 hasConceptScore W2020170143C38652104 @default.
- W2020170143 hasConceptScore W2020170143C41008148 @default.
- W2020170143 hasConceptScore W2020170143C55493867 @default.
- W2020170143 hasConceptScore W2020170143C67388219 @default.
- W2020170143 hasConceptScore W2020170143C68859911 @default.
- W2020170143 hasConceptScore W2020170143C7757238 @default.
- W2020170143 hasConceptScore W2020170143C89600930 @default.
- W2020170143 hasConceptScore W2020170143C97686452 @default.
- W2020170143 hasConceptScore W2020170143C99138194 @default.
- W2020170143 hasLocation W20201701431 @default.
- W2020170143 hasOpenAccess W2020170143 @default.
- W2020170143 hasPrimaryLocation W20201701431 @default.
- W2020170143 hasRelatedWork W2020170143 @default.
- W2020170143 hasRelatedWork W2044001676 @default.
- W2020170143 hasRelatedWork W2129713745 @default.
- W2020170143 hasRelatedWork W2290392496 @default.
- W2020170143 hasRelatedWork W2369919536 @default.
- W2020170143 hasRelatedWork W2385514021 @default.
- W2020170143 hasRelatedWork W3185502679 @default.
- W2020170143 hasRelatedWork W4210483963 @default.
- W2020170143 hasRelatedWork W4324105750 @default.
- W2020170143 hasRelatedWork W91673703 @default.
- W2020170143 isParatext "false" @default.
- W2020170143 isRetracted "false" @default.
- W2020170143 magId "2020170143" @default.
- W2020170143 workType "article" @default.