{"id":"https://openalex.org/W2039867553","doi":"https://doi.org/10.1109/cvpr.2010.5540195","title":"Robust order-based methods for feature description","display_name":"Robust order-based methods for feature description","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2039867553","doi":"https://doi.org/10.1109/cvpr.2010.5540195","mag":"2039867553"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2010.5540195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","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/A5015072777","display_name":"Raj Kumar Gupta","orcid":"https://orcid.org/0000-0002-9580-8429"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Raj Gupta","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology, Madras, Chennai, India","Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India-600036"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology, Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India-600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039765715","display_name":"Harshal Patil","orcid":"https://orcid.org/0000-0002-5813-1957"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harshal Patil","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology, Madras, Chennai, India","Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India-600036"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology, Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India-600036","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085648720","display_name":"Anurag Mittal","orcid":"https://orcid.org/0000-0002-7797-9574"},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anurag Mittal","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Technology, Madras, Chennai, India","Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India-600036"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology, Madras, Chennai, India","institution_ids":["https://openalex.org/I24676775"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, India-600036","institution_ids":["https://openalex.org/I24676775"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24676775"],"apc_list":null,"apc_paid":null,"fwci":6.2547,"has_fulltext":false,"cited_by_count":123,"citation_normalized_percentile":{"value":0.97643922,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"334","last_page":"341"},"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":0.9990000128746033,"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":0.9979000091552734,"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/histogram","display_name":"Histogram","score":0.8517913222312927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7443426847457886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.742370069026947},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7090551257133484},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7001147270202637},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6064504384994507},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5704516768455505},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5590097904205322},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.538990318775177},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5298998951911926},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4875571131706238},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.46862438321113586},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.46306437253952026},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46090754866600037},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40586698055267334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27505365014076233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2123883068561554}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.8517913222312927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7443426847457886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.742370069026947},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7090551257133484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7001147270202637},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6064504384994507},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5704516768455505},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5590097904205322},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.538990318775177},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5298998951911926},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4875571131706238},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.46862438321113586},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.46306437253952026},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46090754866600037},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40586698055267334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27505365014076233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2123883068561554},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2010.5540195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2010.5540195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1559169059","https://openalex.org/W1674866864","https://openalex.org/W1676552347","https://openalex.org/W1995303293","https://openalex.org/W2054511520","https://openalex.org/W2098083083","https://openalex.org/W2098789800","https://openalex.org/W2100968369","https://openalex.org/W2111308925","https://openalex.org/W2115520217","https://openalex.org/W2119605622","https://openalex.org/W2124404372","https://openalex.org/W2126833203","https://openalex.org/W2131081720","https://openalex.org/W2141751506","https://openalex.org/W2143668817","https://openalex.org/W2145072179","https://openalex.org/W2147237076","https://openalex.org/W2147356371","https://openalex.org/W2149357475","https://openalex.org/W2151103935","https://openalex.org/W2156551604","https://openalex.org/W2163352848","https://openalex.org/W2163380389","https://openalex.org/W2167663734","https://openalex.org/W2172188317","https://openalex.org/W2172196609","https://openalex.org/W2177274842","https://openalex.org/W2980468885","https://openalex.org/W4285719527","https://openalex.org/W6633472694","https://openalex.org/W6637324600","https://openalex.org/W6674700266"],"related_works":["https://openalex.org/W2049930962","https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W2979608518","https://openalex.org/W1964725559","https://openalex.org/W2939132449","https://openalex.org/W1409560160","https://openalex.org/W3109748140","https://openalex.org/W1142874504"],"abstract_inverted_index":{"Feature-based":[0],"methods":[1,33,90,154],"have":[2,46,91,155],"found":[3],"increasing":[4],"use":[5],"in":[6,78,106],"many":[7],"applications":[8],"such":[9,27,34],"as":[10,35],"object":[11],"recognition,":[12],"3D":[13,187],"reconstruction":[14],"and":[15,38,56,81,158,185],"mosaicing.":[16],"In":[17,112],"this":[18,113],"paper,":[19,114],"we":[20,115,149],"focus":[21],"on":[22,180],"the":[23,79,97,100,107,132,152,162,181,186],"problem":[24],"of":[25,50,75,85,109,172],"matching":[26,146],"features.":[28],"While":[29,88],"a":[30],"histogram-of-gradients":[31],"type":[32],"SIFT,":[36],"GLOH":[37],"Shape":[39],"Context":[40],"are":[41,178],"currently":[42],"popular,":[43],"several":[44],"papers":[45,64],"suggested":[47],"using":[48,137],"orders":[49,101],"pixels":[51],"rather":[52],"than":[53,170],"raw":[54],"intensities":[55],"shown":[57,92,179],"improved":[58],"results":[59,169,177],"for":[60,69],"some":[61],"applications.":[62],"The":[63,176],"suggest":[65],"two":[66,153,163],"different":[67],"techniques":[68,142],"doing":[70],"so:":[71],"(1)":[72],"A":[73,83],"Histogram":[74,84],"Relative":[76],"Orders":[77],"Patch":[80],"(2)":[82],"LBP":[86],"codes.":[87],"these":[89,119],"good":[93],"performance,":[94],"they":[95],"neglect":[96],"fact":[98],"that":[99,151,159],"can":[102,134],"be":[103,135],"quite":[104],"noisy":[105],"presence":[108],"Gaussian":[110,126],"noise.":[111,127],"propose":[116],"changes":[117],"to":[118,121,125,143],"approaches":[120],"make":[122],"them":[123,173],"robust":[124],"We":[128],"also":[129],"show":[130,150],"how":[131],"descriptors":[133],"matched":[136],"recently":[138],"developed":[139],"more":[140],"advanced":[141],"obtain":[144],"better":[145,168],"performance.":[147],"Finally,":[148],"complimentary":[156],"strengths":[157],"by":[160],"combining":[161],"descriptors,":[164],"one":[165],"obtains":[166],"much":[167],"either":[171],"considered":[174],"separately.":[175],"standard":[182],"2D":[183],"Oxford":[184],"Caltech":[188],"datasets.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":25},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
