{"id":"https://openalex.org/W2048195564","doi":"https://doi.org/10.1109/isda.2010.5687027","title":"A computational model of the log-polar retina mosaic for local feature extraction","display_name":"A computational model of the log-polar retina mosaic for local feature extraction","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2048195564","doi":"https://doi.org/10.1109/isda.2010.5687027","mag":"2048195564"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2010.5687027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5085421231","display_name":"Indradeo Ram","orcid":null},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Indradeo Ram","raw_affiliation_strings":["School of Computing Science, University of Glasgow, Glasgow, UK","School of Computing Science, University of Glasgow, Glasgow G12 8QQ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Science, University of Glasgow, Glasgow, UK","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"School of Computing Science, University of Glasgow, Glasgow G12 8QQ","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110138390","display_name":"Paul Siebert","orcid":null},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul Siebert","raw_affiliation_strings":["School of Computing Science, University of Glasgow, Glasgow, UK","School of Computing Science, University of Glasgow, Glasgow G12 8QQ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Science, University of Glasgow, Glasgow, UK","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"School of Computing Science, University of Glasgow, Glasgow G12 8QQ","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I7882870"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"144","issue":null,"first_page":"1165","last_page":"1170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10691","display_name":"Retinal Development and Disorders","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/foveal","display_name":"Foveal","score":0.7309008836746216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.702960729598999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6684967279434204},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6163040995597839},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5614134669303894},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5110608339309692},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5027225017547607},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.44472184777259827},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4290142059326172},{"id":"https://openalex.org/keywords/tessellation","display_name":"Tessellation (computer graphics)","score":0.42362892627716064},{"id":"https://openalex.org/keywords/receptive-field","display_name":"Receptive field","score":0.41120946407318115},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.129655122756958},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08621716499328613},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.0824347734451294}],"concepts":[{"id":"https://openalex.org/C30181142","wikidata":"https://www.wikidata.org/wiki/Q865103","display_name":"Foveal","level":3,"score":0.7309008836746216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.702960729598999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6684967279434204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6163040995597839},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5614134669303894},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5110608339309692},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5027225017547607},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.44472184777259827},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4290142059326172},{"id":"https://openalex.org/C43817857","wikidata":"https://www.wikidata.org/wiki/Q9357547","display_name":"Tessellation (computer graphics)","level":2,"score":0.42362892627716064},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.41120946407318115},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.129655122756958},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08621716499328613},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.0824347734451294},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isda.2010.5687027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.gla.ac.uk:84899","is_oa":false,"landing_page_url":"http://cig.iet.unipi.it/isda2010/","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":false,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W18725345","https://openalex.org/W1277645929","https://openalex.org/W1511788214","https://openalex.org/W1677489248","https://openalex.org/W1968752664","https://openalex.org/W1970535547","https://openalex.org/W1991699601","https://openalex.org/W1993335351","https://openalex.org/W1994734056","https://openalex.org/W2003370853","https://openalex.org/W2005848975","https://openalex.org/W2007899294","https://openalex.org/W2011937936","https://openalex.org/W2043687537","https://openalex.org/W2069361132","https://openalex.org/W2085731452","https://openalex.org/W2103698290","https://openalex.org/W2151103935","https://openalex.org/W2154406939","https://openalex.org/W2157403344","https://openalex.org/W2766378918","https://openalex.org/W6600791449","https://openalex.org/W6628222005","https://openalex.org/W6630761889","https://openalex.org/W6637079353"],"related_works":["https://openalex.org/W2283340763","https://openalex.org/W3097691005","https://openalex.org/W4244194911","https://openalex.org/W2095328482","https://openalex.org/W3170699495","https://openalex.org/W2527310254","https://openalex.org/W1985942700","https://openalex.org/W616115278","https://openalex.org/W4311800484","https://openalex.org/W2056363698"],"abstract_inverted_index":{"This":[0,69],"paper":[1,24],"presents":[2],"insights":[3],"gained":[4],"from":[5,75,124],"applying":[6],"biological":[7,67],"vision":[8,15],"mechanisms":[9],"in":[10,59,66],"the":[11,36,40,44,55,89],"context":[12],"of":[13,101],"computer":[14],"algorithm":[16],"design,":[17],"implementation":[18],"and":[19,48,118,131],"initial":[20],"evaluation.":[21],"In":[22],"this":[23],"a":[25,60,115],"software-based":[26],"space":[27],"variant":[28],"log(z)":[29,90],"retina":[30,91],"tessellation":[31,92],"is":[32,82,112],"used":[33],"to":[34,63,99],"sample":[35],"underlying":[37],"image,":[38],"maintaining":[39],"high":[41],"resolution":[42],"at":[43,54],"central":[45],"foveal":[46],"region":[47],"an":[49],"increasingly":[50],"sparse":[51],"sampling":[52,71,93],"density":[53],"surrounding":[56],"peripheral":[57],"region,":[58],"manner":[61],"similar":[62],"that":[64,100],"found":[65],"vision.":[68],"multiresolution":[70],"strategy":[72],"differs":[73],"fundamentaly":[74],"conventional":[76],"image":[77],"processing":[78],"where":[79],"whole":[80],"field-of-view":[81],"processed":[83],"with":[84],"equal":[85],"emphasis.":[86],"We":[87],"compare":[88],"quality":[94],"using":[95],"simple":[96],"point":[97],"based":[98],"\u201ctouching":[102],"circle\u201d":[103],"receptive":[104],"field":[105],"(RF)":[106],"sampling.":[107],"Multi-resolution,":[108],"space-variant":[109],"visual":[110],"information":[111],"extracted":[113,123],"on":[114],"scale-space":[116],"continuum":[117],"SIFT":[119],"features":[120],"are":[121],"then":[122],"back-projected":[125],"retinal":[126],"response":[127],"images":[128],"for":[129],"matching":[130],"recognition.":[132]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
