{"id":"https://openalex.org/W2135347118","doi":null,"title":"Performance Evaluation of Scale Invariant Feature Transform","display_name":"Performance Evaluation of Scale Invariant Feature Transform","publication_year":2014,"publication_date":"2014-01-22","ids":{"openalex":"https://openalex.org/W2135347118","mag":"2135347118"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.408.9107","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.9107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ijrte.academypublisher.com/vol01/no02/ijrte0102236240.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5061479785","display_name":"Ajay Mittal","orcid":"https://orcid.org/0000-0002-3066-1956","observed_orcids":["https://orcid.org/0000-0002-3066-1956"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ajay Mittal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Navdeep Kaur","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Navdeep Kaur","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.00039999998989515007,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"scale-invariant feature transform","score":0.824999988079071},{"id":"https://openalex.org/keywords/sift","display_name":"SIFT","score":0.8259999752044678},{"id":"https://openalex.org/keywords/keypoint-detection","display_name":"keypoint detection","score":0.9430000185966492},{"id":"https://openalex.org/keywords/keypoint-descriptors","display_name":"keypoint descriptors","score":0.8759999871253967},{"id":"https://openalex.org/keywords/difference-of-gaussians","display_name":"difference of Gaussians","score":0.734000027179718},{"id":"https://openalex.org/keywords/keypoint-matching","display_name":"feature point matching","score":0.8379999995231628},{"id":"https://openalex.org/keywords/image-recognition","display_name":"image recognition","score":0.7680000066757202},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"scale invariance","score":0.6690000295639038},{"id":"https://openalex.org/keywords/rotation-invariance","display_name":"rotation invariance","score":0.9599999785423279},{"id":"https://openalex.org/keywords/occlusion-robustness","display_name":"occlusion robustness","score":0.8479999899864197}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.9681466817855835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6869839429855347},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6112387776374817},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6020355224609375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5704626441001892},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5504834651947021},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48978161811828613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48297253251075745},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.46569570899009705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3969663977622986},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.408.9107","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.408.9107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ijrte.academypublisher.com/vol01/no02/ijrte0102236240.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1604009609","https://openalex.org/W1676552347","https://openalex.org/W1677409904","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2162601563","https://openalex.org/W3144586139"],"related_works":["https://openalex.org/W2061422447","https://openalex.org/W1266903554","https://openalex.org/W2761722367","https://openalex.org/W2184229386","https://openalex.org/W2381258928","https://openalex.org/W1963830127","https://openalex.org/W2037602911","https://openalex.org/W4293010067","https://openalex.org/W2418393252","https://openalex.org/W2370706845"],"abstract_inverted_index":{"Abstract":[0],"\u2014":[1,159],"The":[2,39,142],"SIFT":[3,13,30,58],"algorithm":[4,14,40,143],"produces":[5],"keypoint":[6,84,152],"descriptors.":[7],"This":[8],"paper":[9],"analyzes":[10],"that":[11,82],"the":[12,16,49,55,95,111,115,118,130],"generates":[15],"number":[17],"of":[18,26,57,61],"keypoints":[19,104,137],"when":[20],"we":[21],"increase":[22,54],"a":[23,32,44,83,103,122],"parameter":[24],"(number":[25],"sublevels":[27],"per":[28],"octave).":[29],"has":[31,97],"good":[33],"hit":[34],"rate":[35],"for":[36,76,147,150],"this":[37],"analysis.":[38],"was":[41],"tested":[42,146],"over":[43],"specific":[45],"data":[46],"set,":[47],"and":[48,63],"experiments":[50],"were":[51],"conducted":[52],"to":[53,67,113,121],"performance":[56],"in":[59,71,105],"terms":[60],"accuracy":[62],"efficiency":[64],"so":[65,91],"as":[66],"provide":[68],"its":[69,148],"use":[70],"many":[72],"real":[73],"time":[74],"applications":[75],"image":[77,87,96,112,131],"recognition.":[78],"We":[79],"also":[80],"shown":[81],"is":[85,90,128,144],"an":[86,106],"feature":[88],"which":[89],"distinct":[92],"even":[93],"though":[94],"gone":[98],"through":[99],"transformations":[100],"i.e.":[101],"given":[102],"image,":[107],"if":[108],"one":[109],"scales":[110],"half":[114],"size,":[116,119],"double":[117],"rotated":[120],"particular":[123],"degree,":[124],"or":[125],"object":[126],"occlusion":[127],"done,":[129],"can":[132],"be":[133,140],"recognized":[134],"because":[135],"some":[136],"would":[138],"still":[139],"identifiable.":[141],"specifically":[145],"feasibility":[149],"finding":[151],"matches":[153],"between":[154],"two":[155],"images.":[156],"Index":[157],"Terms":[158],"DoG,":[160],"SIFT,":[161],"Keypoint":[162],"I.":[163]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-27T00:00:00"}
