{"id":"https://openalex.org/W2911296748","doi":"https://doi.org/10.1109/ivcnz.2018.8634791","title":"Simple Stereo Matching Algorithm for Localising Keypoints in a Restricted Search Space","display_name":"Simple Stereo Matching Algorithm for Localising Keypoints in a Restricted Search Space","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2911296748","doi":"https://doi.org/10.1109/ivcnz.2018.8634791","mag":"2911296748"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2018.8634791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2018.8634791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/10289/12453","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037482082","display_name":"Matthew Seabright","orcid":null},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Matthew Seabright","raw_affiliation_strings":["School of Engineering University of Waikato Hamilton, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering University of Waikato Hamilton, New Zealand","institution_ids":["https://openalex.org/I52179390"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017807248","display_name":"Lee Streeter","orcid":"https://orcid.org/0000-0002-3987-6945"},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Lee Streeter","raw_affiliation_strings":["School of Engineering University of Waikato Hamilton, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering University of Waikato Hamilton, New Zealand","institution_ids":["https://openalex.org/I52179390"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090758218","display_name":"Michael J. Cree","orcid":"https://orcid.org/0000-0002-2973-2710"},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Michael Cree","raw_affiliation_strings":["School of Engineering University of Waikato Hamilton, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering University of Waikato Hamilton, New Zealand","institution_ids":["https://openalex.org/I52179390"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058303658","display_name":"Mike Duke","orcid":"https://orcid.org/0000-0003-3001-0130"},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mike Duke","raw_affiliation_strings":["School of Engineering University of Waikato Hamilton, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering University of Waikato Hamilton, New Zealand","institution_ids":["https://openalex.org/I52179390"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029443255","display_name":"Rachael C. Tighe","orcid":"https://orcid.org/0000-0002-5139-9141"},"institutions":[{"id":"https://openalex.org/I52179390","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78","country_code":"NZ","type":"education","lineage":["https://openalex.org/I52179390"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Rachael Tighe","raw_affiliation_strings":["School of Engineering University of Waikato Hamilton, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering University of Waikato Hamilton, New Zealand","institution_ids":["https://openalex.org/I52179390"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52179390"],"apc_list":null,"apc_paid":null,"fwci":0.208,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57748322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9955999851226807,"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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9955999851226807,"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/T10616","display_name":"Smart Agriculture and AI","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6586463451385498},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.5976546406745911},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5642586350440979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5601711273193359},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5353401899337769},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5267680883407593},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5128629207611084},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5014541149139404},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.4753403663635254},{"id":"https://openalex.org/keywords/orchard","display_name":"Orchard","score":0.4636674225330353},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4558587670326233},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4541049897670746},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4193822741508484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.412492960691452},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39029449224472046},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1283002495765686}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6586463451385498},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.5976546406745911},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5642586350440979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5601711273193359},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5353401899337769},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5267680883407593},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5128629207611084},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5014541149139404},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.4753403663635254},{"id":"https://openalex.org/C2780753983","wikidata":"https://www.wikidata.org/wiki/Q236371","display_name":"Orchard","level":2,"score":0.4636674225330353},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4558587670326233},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4541049897670746},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4193822741508484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.412492960691452},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39029449224472046},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1283002495765686},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C144027150","wikidata":"https://www.wikidata.org/wiki/Q48803","display_name":"Horticulture","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ivcnz.2018.8634791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2018.8634791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchcommons.waikato.ac.nz:10289/12453","is_oa":true,"landing_page_url":"https://hdl.handle.net/10289/12453","pdf_url":"https://hdl.handle.net/10289/12453","source":{"id":"https://openalex.org/S4306400944","display_name":"Research Commons (University of Waikato)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I52179390","host_organization_name":"University of Waikato","host_organization_lineage":["https://openalex.org/I52179390"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"Conference Contribution"}],"best_oa_location":{"id":"pmh:oai:researchcommons.waikato.ac.nz:10289/12453","is_oa":true,"landing_page_url":"https://hdl.handle.net/10289/12453","pdf_url":"https://hdl.handle.net/10289/12453","source":{"id":"https://openalex.org/S4306400944","display_name":"Research Commons (University of Waikato)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I52179390","host_organization_name":"University of Waikato","host_organization_lineage":["https://openalex.org/I52179390"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"Conference Contribution"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311746","display_name":"University of Waikato","ror":"https://ror.org/013fsnh78"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2911296748.pdf"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1976847732","https://openalex.org/W2061153180","https://openalex.org/W2068815075","https://openalex.org/W2074407082","https://openalex.org/W2303323562","https://openalex.org/W2963150697","https://openalex.org/W3210232381","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W2357290554","https://openalex.org/W2334468155","https://openalex.org/W2590060643","https://openalex.org/W2775631375","https://openalex.org/W2212575126","https://openalex.org/W2583834057","https://openalex.org/W2320141395","https://openalex.org/W2393971270","https://openalex.org/W2388554640","https://openalex.org/W2369393765"],"abstract_inverted_index":{"Modern":[0],"stereo":[1],"matching":[2,7,95,150],"algorithms":[3],"generally":[4],"rely":[5],"on":[6,43,86,161],"image":[8,185,202],"features":[9],"such":[10,55],"as":[11,63,75],"colour":[12],"and":[13,173],"texture":[14],"to":[15,38,68,89,97,112,140,166],"find":[16],"corresponding":[17],"matches":[18],"between":[19],"images.":[20],"They":[21],"can":[22,51,146],"provide":[23],"very":[24,29],"good":[25],"results":[26],"but":[27],"be":[28,39,52,147],"computationally":[30],"intensive.":[31],"However,":[32],"in":[33,60,70,117],"cases":[34,127],"where":[35,128],"the":[36,64,91,102,106,118,167,187],"objects":[37],"localised":[40],"lie":[41],"approximately":[42],"a":[44,47,71,76,98,123,174,190],"known":[45,74],"plane,":[46],"much":[48],"simpler":[49],"algorithm":[50,80,188],"applied.":[53],"One":[54],"case":[56],"is":[57,109,158,176],"localising":[58],"kiwifruit":[59],"modern":[61],"orchards,":[62],"plants":[65],"are":[66,130],"trained":[67],"grow":[69],"planar":[72],"structure":[73],"pergola.":[77],"The":[78],"proposed":[79],"uses":[81],"tight":[82],"distance":[83,170],"limits":[84],"(based":[85],"orchard":[87],"geometry)":[88],"reduce":[90],"search":[92,107],"space":[93],"for":[94],"fruit":[96,116,133,137,143],"small":[99,110],"window.":[100],"For":[101],"majority":[103],"of":[104],"kiwifruit,":[105],"window":[108],"enough":[111],"contain":[113],"only":[114,122],"one":[115],"adjacent":[119,139],"image,":[120],"giving":[121],"single":[124],"solution.":[125],"In":[126],"there":[129,145],"tightly":[131],"grouped":[132],"or":[134],"false":[135],"positive":[136,142,194],"detections":[138],"true":[141,193],"detections,":[144],"multiple":[148],"potential":[149,156],"solutions.":[151],"To":[152],"solve":[153],"these,":[154],"each":[155],"solution":[157,175],"evaluated":[159],"based":[160],"how":[162],"closely":[163],"it":[164],"conforms":[165],"mean":[168],"object":[169],"from":[171],"camera":[172],"selected.":[177],"On":[178],"real":[179],"world":[180],"test":[181],"data":[182],"containing":[183],"121":[184],"pairs,":[186],"has":[189],"99.2":[191],"%":[192],"rate.":[195],"Computation":[196],"time":[197],"was":[198],"1.97":[199],"ms":[200],"per":[201],"pair.":[203]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}