{"id":"https://openalex.org/W2172095415","doi":"https://doi.org/10.1109/robio.2009.5420847","title":"Covariant support region and detection algorithm based on LoG corners","display_name":"Covariant support region and detection algorithm based on LoG corners","publication_year":2009,"publication_date":"2009-12-01","ids":{"openalex":"https://openalex.org/W2172095415","doi":"https://doi.org/10.1109/robio.2009.5420847","mag":"2172095415"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2009.5420847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2009.5420847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5101551473","display_name":"Yawei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yawei Liu","raw_affiliation_strings":["School of Science and the member of the Key Lab on Opto-Electronic Technique of State Education Ministry, Chongqing Jiaotong University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Science and the member of the Key Lab on Opto-Electronic Technique of State Education Ministry, Chongqing Jiaotong University, Chongqing, China","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100410890","display_name":"Jianwei Li","orcid":"https://orcid.org/0000-0002-5005-9305"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Li","raw_affiliation_strings":["School of Opto-electronic Engineering, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Opto-electronic Engineering, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101551473"],"corresponding_institution_ids":["https://openalex.org/I63371133"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21300075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1200","last_page":"1204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980999827384949,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9923999905586243,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/covariant-transformation","display_name":"Covariant transformation","score":0.8986706733703613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5703979134559631},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5601626634597778},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.56004798412323},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5480282306671143},{"id":"https://openalex.org/keywords/laplace-transform","display_name":"Laplace transform","score":0.5311148762702942},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5245307087898254},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5170074701309204},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5005495548248291},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49049776792526245},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.47333958745002747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4482090473175049},{"id":"https://openalex.org/keywords/blob-detection","display_name":"Blob detection","score":0.4429769814014435},{"id":"https://openalex.org/keywords/corner-detection","display_name":"Corner detection","score":0.4425256848335266},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.41930148005485535},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4148560166358948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3685639500617981},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3052641749382019},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13282543420791626},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08594346046447754},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07801264524459839}],"concepts":[{"id":"https://openalex.org/C9136319","wikidata":"https://www.wikidata.org/wiki/Q362640","display_name":"Covariant transformation","level":2,"score":0.8986706733703613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5703979134559631},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5601626634597778},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.56004798412323},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5480282306671143},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.5311148762702942},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5245307087898254},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5170074701309204},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5005495548248291},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49049776792526245},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.47333958745002747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4482090473175049},{"id":"https://openalex.org/C29168087","wikidata":"https://www.wikidata.org/wiki/Q1026711","display_name":"Blob detection","level":5,"score":0.4429769814014435},{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.4425256848335266},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.41930148005485535},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4148560166358948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3685639500617981},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3052641749382019},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13282543420791626},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08594346046447754},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07801264524459839},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2009.5420847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2009.5420847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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":12,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1970269179","https://openalex.org/W2042316011","https://openalex.org/W2098789800","https://openalex.org/W2119605622","https://openalex.org/W2119747362","https://openalex.org/W2124386111","https://openalex.org/W2124404372","https://openalex.org/W2147237076","https://openalex.org/W2151103935","https://openalex.org/W2177274842","https://openalex.org/W4205398292"],"related_works":["https://openalex.org/W2992309895","https://openalex.org/W2544468271","https://openalex.org/W3146011161","https://openalex.org/W286523740","https://openalex.org/W2106910922","https://openalex.org/W3195139971","https://openalex.org/W2143549796","https://openalex.org/W2132464954","https://openalex.org/W2079299034","https://openalex.org/W4281937456"],"abstract_inverted_index":{"Detection":[0],"of":[1,10,24,34,64,85],"local":[2,51],"feature":[3,52],"covariant":[4,55,65,72],"region":[5,67],"is":[6,39,58,68,71,88],"a":[7,32,49,61],"new":[8,50],"technology":[9],"image":[11,14,26],"contents":[12],"and":[13,17,29,75,113],"semantic":[15],"representations,":[16],"it":[18],"has":[19,105],"become":[20],"an":[21],"important":[22],"foundation":[23],"the":[25,47,82,99],"recognition,":[27],"learning":[28],"understanding.":[30],"First,":[31],"Laplace":[33],"Gaussian":[35],"corner":[36],"detection":[37,62],"method":[38,100],"proposed":[40,86,101],"based":[41],"on":[42,108],"edge":[43],"contour":[44],"curves,":[45],"in":[46,102],"meantime,":[48],"descriptor,":[53],"named":[54],"support":[56,66],"region,":[57],"introduced.":[59],"Then,":[60],"algorithm":[63,87],"framed,":[69],"which":[70],"for":[73],"rotation":[74],"scale":[76],"transformation.":[77],"Comparing":[78],"with":[79],"previous":[80],"studies,":[81],"computational":[83],"complexity":[84],"significantly":[89],"reduced":[90],"by":[91],"this":[92,103],"method.":[93],"The":[94],"experiments":[95],"data":[96],"indicate":[97],"that":[98],"paper":[104],"good":[106],"performance":[107],"higher":[109,111],"accuracy,":[110],"repeatability,":[112],"lower":[114],"complexity.":[115]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}