{"id":"https://openalex.org/W33143622","doi":null,"title":"Efficient feature detection using OBAloG: optimized box approximation of Laplacian of Gaussian","display_name":"Efficient feature detection using OBAloG: optimized box approximation of Laplacian of Gaussian","publication_year":2010,"publication_date":"2010-04-19","ids":{"openalex":"https://openalex.org/W33143622","mag":"33143622"},"language":"en","primary_location":{"id":"pmh:oai:krex.k-state.edu:2097/3651","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2097/3651","pdf_url":"http://hdl.handle.net/2097/3651","source":{"id":"https://openalex.org/S4306402339","display_name":"K-State Research Exchange (Kansas State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I189590672","host_organization_name":"Kansas State University","host_organization_lineage":["https://openalex.org/I189590672"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/2097/3651","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021701920","display_name":"Vinayak Reddy Jakkula","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vinayak Reddy Jakkula","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5021701920"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":null,"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":0.9984999895095825,"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":0.9984999895095825,"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":0.0007999999797903001,"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":0.00039999998989515007,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-detection","display_name":"feature detection","score":0.8090000152587891},{"id":"https://openalex.org/keywords/keypoint-detection","display_name":"keypoint detection","score":0.828000009059906},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"scale invariance","score":0.8299999833106995},{"id":"https://openalex.org/keywords/laplacian-of-gaussian","display_name":"Laplacian of Gaussian","score":0.9459999799728394},{"id":"https://openalex.org/keywords/moving-average-filter","display_name":"moving average filter","score":0.8460000157356262},{"id":"https://openalex.org/keywords/integral-image","display_name":"integral image","score":0.777999997138977},{"id":"https://openalex.org/keywords/feature-matching","display_name":"feature matching","score":0.6460000276565552},{"id":"https://openalex.org/keywords/sift","display_name":"SIFT","score":0.6399999856948853},{"id":"https://openalex.org/keywords/surf","display_name":"SURF","score":0.9580000042915344},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.5860000252723694}],"concepts":[{"id":"https://openalex.org/C29168087","wikidata":"https://www.wikidata.org/wiki/Q1026711","display_name":"Blob detection","level":5,"score":0.6928583383560181},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5428805351257324},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.49226489663124084},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45189642906188965},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4481941759586334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43594327569007874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41038885712623596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3889559507369995},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22468581795692444},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.14397719502449036},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.13906368613243103},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08794516324996948},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.08200445771217346},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.06856262683868408},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:krex.k-state.edu:2097/3651","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2097/3651","pdf_url":"http://hdl.handle.net/2097/3651","source":{"id":"https://openalex.org/S4306402339","display_name":"K-State Research Exchange (Kansas State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I189590672","host_organization_name":"Kansas State University","host_organization_lineage":["https://openalex.org/I189590672"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:33143622","doi":null,"is_oa":false,"landing_page_url":"https://krex.k-state.edu/dspace/handle/2097/3651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:krex.k-state.edu:2097/3651","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2097/3651","pdf_url":"http://hdl.handle.net/2097/3651","source":{"id":"https://openalex.org/S4306402339","display_name":"K-State Research Exchange (Kansas State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I189590672","host_organization_name":"Kansas State University","host_organization_lineage":["https://openalex.org/I189590672"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W33143622.pdf","grobid_xml":"https://content.openalex.org/works/W33143622.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1526034937","https://openalex.org/W1532362218","https://openalex.org/W1533496907","https://openalex.org/W1545916317","https://openalex.org/W1639227073","https://openalex.org/W2006982476","https://openalex.org/W2012778485","https://openalex.org/W2033819227","https://openalex.org/W2064463558","https://openalex.org/W2085261163","https://openalex.org/W2099046646","https://openalex.org/W2111308925","https://openalex.org/W2119605622","https://openalex.org/W2124313187","https://openalex.org/W2130103520","https://openalex.org/W2151103935","https://openalex.org/W2177274842"],"related_works":["https://openalex.org/W2910382046","https://openalex.org/W2782810269","https://openalex.org/W2181842898","https://openalex.org/W2281791686","https://openalex.org/W6903138070","https://openalex.org/W2505797506","https://openalex.org/W4237684429","https://openalex.org/W4247117410","https://openalex.org/W3180363746","https://openalex.org/W1983284560"],"abstract_inverted_index":{"This":[0],"thesis":[1],"presents":[2],"a":[3],"novel":[4],"approach":[5],"for":[6,47],"detecting":[7],"robust":[8],"and":[9,18,60,66],"scale":[10],"invariant":[11],"interest":[12],"points":[13],"in":[14,62],"images.The":[15],"detector":[16],"accurately":[17],"efficiently":[19],"approximates":[20],"the":[21,49],"Laplacian":[22],"of":[23,29,36,64],"Gaussian":[24],"using":[25],"an":[26],"optimal":[27],"set":[28],"weighted":[30],"box":[31],"filters":[32],"that":[33],"take":[34],"advantage":[35],"integral":[37],"images":[38],"to":[39],"reduce":[40],"computations.When":[41],"combined":[42],"with":[43],"state-of-the":[44],"art":[45],"descriptors":[46],"matching,":[48],"algorithm":[50],"performs":[51],"better":[52],"than":[53],"leading":[54],"feature":[55],"tracking":[56],"algorithms":[57],"including":[58],"SIFT":[59],"SURF":[61],"terms":[63],"speed":[65],"accuracy.":[67]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-06-24T00:00:00"}
