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Lee, Kyuho Jason
Intelligent Systems Lab.
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DC Field Value Language
dc.citation.conferencePlace US -
dc.citation.conferencePlace Honolulu, HI -
dc.citation.title IEEE Symposium on VLSI Circuits -
dc.contributor.author Lee, Kyuho -
dc.contributor.author Kim, Gyeonghoon -
dc.contributor.author Park, Jungyoung -
dc.contributor.author Yoo, Hoi-Jun -
dc.date.accessioned 2023-12-20T00:06:06Z -
dc.date.available 2023-12-20T00:06:06Z -
dc.date.created 2018-08-07 -
dc.date.issued 2014-06-10 -
dc.description.abstract A Vocabulary Forest-based object matching processor is proposed to speed up the feature matching stage for the object recognition system with high accuracy. Adopting Reusable-Vocabulary Tree architecture and hardware sharing technique reduces area, as well as adopting propagate-and-compute-array architecture in the combiner and external database elimination enhances the matching speed more than 16x compared to Approximate Nearest Neighbor searching processors. The proposed Vocabulary Forest processor, implemented in 65nm CMOS process, achieves 2.07M-vec/s throughput and 13.3nJ/vector energy efficiency, and successfully matches 100 objects with 95.7% matching accuracy. -
dc.identifier.bibliographicCitation IEEE Symposium on VLSI Circuits -
dc.identifier.doi 10.1109/VLSIC.2014.6858386 -
dc.identifier.scopusid 2-s2.0-84905643732 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/37385 -
dc.identifier.url https://ieeexplore.ieee.org/document/6858386/ -
dc.language 영어 -
dc.publisher 28th IEEE Symposium on VLSI Circuits, VLSIC 2014 -
dc.title A Vocabulary Forest-based object matching processor with 2.07M-vec/s throughput and 13.3nJ/vector energy in full-HD resolution -
dc.type Conference Paper -
dc.date.conferenceDate 2014-06-10 -

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