{"id":"https://openalex.org/W2027590944","doi":"https://doi.org/10.1142/s0219467808003283","title":"A NOVEL ALGORITHM FOR SPEEDING UP KEYPOINT DETECTION AND MATCHING","display_name":"A NOVEL ALGORITHM FOR SPEEDING UP KEYPOINT DETECTION AND MATCHING","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2027590944","doi":"https://doi.org/10.1142/s0219467808003283","mag":"2027590944"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467808003283","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467808003283","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5100763416","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-9043-8633"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JING LI","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China","School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062706107","display_name":"Tao Yang","orcid":"https://orcid.org/0000-0002-5180-2316"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"TAO YANG","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China","School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108517562","display_name":"Quan Pan","orcid":"https://orcid.org/0000-0001-8162-2896"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"QUAN PAN","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036070371","display_name":"Yongmei Cheng","orcid":"https://orcid.org/0000-0002-9199-6215"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YONG-MEI CHENG","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100721400","display_name":"Jun Hou","orcid":"https://orcid.org/0000-0002-2978-8749"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JUN HOU","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3506,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62962479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"08","issue":"04","first_page":"643","last_page":"661"},"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":1.0,"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":1.0,"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":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9937999844551086,"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/pixel","display_name":"Pixel","score":0.6644138097763062},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.6600696444511414},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6017293334007263},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.590796947479248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5872527956962585},{"id":"https://openalex.org/keywords/repeatability","display_name":"Repeatability","score":0.5619194507598877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5330784320831299},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5192751884460449},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49830174446105957},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48474857211112976},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.48396041989326477},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.4610111117362976},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.4182114005088806},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4181768298149109},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4084323048591614},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40197205543518066},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22461417317390442}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6644138097763062},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.6600696444511414},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6017293334007263},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.590796947479248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5872527956962585},{"id":"https://openalex.org/C154020017","wikidata":"https://www.wikidata.org/wiki/Q520171","display_name":"Repeatability","level":2,"score":0.5619194507598877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5330784320831299},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5192751884460449},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49830174446105957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48474857211112976},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.48396041989326477},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.4610111117362976},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4182114005088806},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4181768298149109},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4084323048591614},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40197205543518066},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22461417317390442},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467808003283","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467808003283","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1505641881","https://openalex.org/W1526034937","https://openalex.org/W1532362218","https://openalex.org/W1607217798","https://openalex.org/W1676552347","https://openalex.org/W1677409904","https://openalex.org/W2022735534","https://openalex.org/W2098789800","https://openalex.org/W2109200236","https://openalex.org/W2109863423","https://openalex.org/W2111308925","https://openalex.org/W2119747362","https://openalex.org/W2129133278","https://openalex.org/W2147237076","https://openalex.org/W2149646227","https://openalex.org/W2151103935","https://openalex.org/W2154422044","https://openalex.org/W2172188317","https://openalex.org/W3152336969","https://openalex.org/W4240153047"],"related_works":["https://openalex.org/W2481168506","https://openalex.org/W2375684291","https://openalex.org/W4288084846","https://openalex.org/W2893816048","https://openalex.org/W3168747143","https://openalex.org/W2237675924","https://openalex.org/W2315867670","https://openalex.org/W1968795594","https://openalex.org/W4256621282","https://openalex.org/W2559403121"],"abstract_inverted_index":{"This":[0,81],"work":[1],"proposes":[2],"a":[3,21,108],"novel":[4],"keypoint":[5,79,120],"detector":[6],"called":[7],"QSIF":[8,45,63,106],"(Quality":[9],"and":[10,33,41,99,110,113,122],"Spatial":[11],"based":[12],"Invariant":[13],"Feature":[14],"Detector).":[15],"The":[16],"primary":[17],"contributions":[18],"include:":[19],"(1)":[20],"multilevel":[22],"box":[23],"filter":[24],"is":[25,83],"used":[26],"to":[27],"build":[28],"the":[29,49,57,67,75,104,119],"image":[30,59],"scales":[31],"efficiently":[32],"precisely,":[34],"(2)":[35],"by":[36],"examining":[37],"pixels":[38],"in":[39,56,85],"quality":[40],"spatial":[42,60],"space":[43,53],"simultaneously,":[44],"can":[46,64,115],"directly":[47],"locate":[48],"keypoints":[50,71],"without":[51],"scale":[52],"extrema":[54],"detection":[55],"entire":[58],"space,":[61],"(3)":[62],"precisely":[65],"control":[66],"number":[68],"of":[69,78],"output":[70],"while":[72],"maintaining":[73],"almost":[74],"same":[76],"repeatability":[77],"detection.":[80],"characteristic":[82],"essential":[84],"many":[86],"real-time":[87],"application":[88],"fields.":[89],"Extensive":[90],"experimental":[91],"results":[92],"with":[93],"images":[94],"under":[95],"scale,":[96],"rotation,":[97],"viewpoint":[98],"illumination":[100],"changes":[101],"demonstrate":[102],"that":[103],"proposed":[105],"has":[107],"stable":[109],"satisfied":[111],"repeatability,":[112],"it":[114],"greatly":[116],"speed":[117],"up":[118],"detect":[121],"matching.":[123]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
