{"id":"https://openalex.org/W2172220733","doi":"https://doi.org/10.1109/ismar.2007.4538862","title":"Accelerating Template-Based Matching on the GPU for AR Applications","display_name":"Accelerating Template-Based Matching on the GPU for AR Applications","publication_year":2007,"publication_date":"2007-11-01","ids":{"openalex":"https://openalex.org/W2172220733","doi":"https://doi.org/10.1109/ismar.2007.4538862","mag":"2172220733"},"language":"en","primary_location":{"id":"doi:10.1109/ismar.2007.4538862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar.2007.4538862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045025230","display_name":"Yannick Allusse","orcid":null},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Yannick Allusse","raw_affiliation_strings":["HIT Laboratory NZ, University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"HIT Laboratory NZ, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000733910","display_name":"Rapha\u00ebl Grasset","orcid":null},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Raphael Grasset","raw_affiliation_strings":["HIT Laboratory NZ, University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"HIT Laboratory NZ, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021195349","display_name":"Mark Billinghurst","orcid":"https://orcid.org/0000-0003-4172-6759"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mark Billinghurst","raw_affiliation_strings":["HIT Laboratory NZ, University of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"HIT Laboratory NZ, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045025230"],"corresponding_institution_ids":["https://openalex.org/I185492890"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.14078977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8631442785263062},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.8044657707214355},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.642483115196228},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6235526204109192},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.5894313454627991},{"id":"https://openalex.org/keywords/fiducial-marker","display_name":"Fiducial marker","score":0.5530838370323181},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5508641004562378},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5332871079444885},{"id":"https://openalex.org/keywords/general-purpose-computing-on-graphics-processing-units","display_name":"General-purpose computing on graphics processing units","score":0.4784124791622162},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.40688636898994446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4019734263420105},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34229862689971924},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3290434181690216},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2706325054168701},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.08883979916572571},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08127614855766296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8631442785263062},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.8044657707214355},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.642483115196228},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6235526204109192},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.5894313454627991},{"id":"https://openalex.org/C173974348","wikidata":"https://www.wikidata.org/wiki/Q1469893","display_name":"Fiducial marker","level":2,"score":0.5530838370323181},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5508641004562378},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5332871079444885},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.4784124791622162},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.40688636898994446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4019734263420105},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34229862689971924},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3290434181690216},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2706325054168701},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.08883979916572571},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08127614855766296},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ismar.2007.4538862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ismar.2007.4538862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W176729393","https://openalex.org/W2127972053","https://openalex.org/W2131154433","https://openalex.org/W2132072356","https://openalex.org/W2154370333","https://openalex.org/W2169102162","https://openalex.org/W4206771003"],"related_works":["https://openalex.org/W1963859303","https://openalex.org/W2364044215","https://openalex.org/W2389600408","https://openalex.org/W240129890","https://openalex.org/W3048701459","https://openalex.org/W2149078538","https://openalex.org/W2370314112","https://openalex.org/W1912958759","https://openalex.org/W2792081825","https://openalex.org/W2893308117"],"abstract_inverted_index":{"Recently":[0],"researchers":[1],"have":[2,20],"shown":[3],"that":[4],"it":[5],"is":[6],"possible":[7],"to":[8,24,28,74],"use":[9,25],"GPU":[10,26,66],"hardware":[11,27],"for":[12,33],"image":[13],"processing":[14],"and":[15,43,67],"computer":[16],"vision":[17],"algorithms.":[18],"We":[19,55],"been":[21],"exploring":[22],"how":[23],"improve":[29],"marker-":[30],"based":[31],"tracking":[32,53],"AR":[34],"Applications.":[35],"In":[36],"this":[37],"paper":[38],"we":[39],"describe":[40],"our":[41],"findings":[42],"explored":[44],"issues":[45],"in":[46,72],"the":[47,57,65,68],"context":[48],"of":[49,59],"a":[50,60,75],"standard":[51],"fiducial":[52],"pipeline.":[54],"demonstrate":[56],"implementation":[58],"template":[61],"matching":[62],"process":[63],"on":[64],"performance":[69],"improvement":[70],"gained":[71],"comparison":[73],"traditional":[76],"CPU":[77],"implementation.":[78]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
