{"id":"https://openalex.org/W2016216476","doi":"https://doi.org/10.1109/chinasip.2014.6889290","title":"Salient feature point detection for image matching","display_name":"Salient feature point detection for image matching","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2016216476","doi":"https://doi.org/10.1109/chinasip.2014.6889290","mag":"2016216476"},"language":"en","primary_location":{"id":"doi:10.1109/chinasip.2014.6889290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2014.6889290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","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/A5049414195","display_name":"Jun Liang","orcid":"https://orcid.org/0000-0001-8942-0391"},"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 Liang","raw_affiliation_strings":["Northwestern Polytechnical University","Northwestern Polytech. Univ., Xian, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytech. Univ., Xian, PR China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"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":"Yanning Zhang","raw_affiliation_strings":["Northwestern Polytechnical University","Northwestern Polytech. Univ., Xian, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytech. Univ., Xian, PR China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112565878","display_name":"Steve Maybank","orcid":null},"institutions":[{"id":"https://openalex.org/I98259816","display_name":"Birkbeck, University of London","ror":"https://ror.org/02mb95055","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I98259816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steve Maybank","raw_affiliation_strings":["Birkbeck College, University of London","Birkbeck College; University of London; London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birkbeck College, University of London","institution_ids":["https://openalex.org/I98259816"]},{"raw_affiliation_string":"Birkbeck College; University of London; London, UK","institution_ids":["https://openalex.org/I98259816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040327019","display_name":"Xiuwei Zhang","orcid":"https://orcid.org/0000-0001-7230-1476"},"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":"Xiuwei Zhang","raw_affiliation_strings":["Northwestern Polytechnical University","Northwestern Polytech. Univ., Xian, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytech. Univ., Xian, PR China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"485","last_page":"489"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9995999932289124,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9962999820709229,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7959855198860168},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.7303138971328735},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6867741346359253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6724106669425964},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.6630849838256836},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5900439620018005},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5746903419494629},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5515963435173035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5457985401153564},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4854155480861664},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.4794934391975403},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.443634569644928},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4257306754589081},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.4249500036239624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4030059576034546},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3049697279930115},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2217400074005127},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15376967191696167}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7959855198860168},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7303138971328735},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6867741346359253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6724106669425964},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.6630849838256836},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5900439620018005},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5746903419494629},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5515963435173035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5457985401153564},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4854155480861664},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.4794934391975403},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.443634569644928},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4257306754589081},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4249500036239624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4030059576034546},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3049697279930115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2217400074005127},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15376967191696167},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/chinasip.2014.6889290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/chinasip.2014.6889290","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1970567573","https://openalex.org/W2065985528","https://openalex.org/W2078837822","https://openalex.org/W2090518410","https://openalex.org/W2100470808","https://openalex.org/W2104974755","https://openalex.org/W2107979498","https://openalex.org/W2111308925","https://openalex.org/W2117606586","https://openalex.org/W2122423951","https://openalex.org/W2124731682","https://openalex.org/W2130184867","https://openalex.org/W2133255058","https://openalex.org/W2133858838","https://openalex.org/W2135957164","https://openalex.org/W2139047169","https://openalex.org/W2141041441","https://openalex.org/W2151103935","https://openalex.org/W2151638304","https://openalex.org/W6679570432","https://openalex.org/W6680437723","https://openalex.org/W6680614221","https://openalex.org/W6681008293"],"related_works":["https://openalex.org/W2312819198","https://openalex.org/W3036032503","https://openalex.org/W2941415828","https://openalex.org/W4280622786","https://openalex.org/W2561491196","https://openalex.org/W2319500318","https://openalex.org/W4312753625","https://openalex.org/W2356662304","https://openalex.org/W2376671254","https://openalex.org/W4255424250"],"abstract_inverted_index":{"A":[0],"saliency":[1,16,88,102],"based":[2,8],"feature":[3],"point":[4],"detector":[5],"is":[6,21,89,97,117,135],"proposed,":[7],"on":[9],"a":[10,41,104,110,131],"decision-theoretic":[11],"formulation":[12],"of":[13,17,62,71,85,87,103,112],"saliency.":[14],"The":[15],"an":[18],"image":[19,72,119],"region":[20,105,116],"defined":[22],"to":[23],"be":[24,107],"the":[25,30,37,55,60,69,77,83,101,115,122],"Kullback-Leibler":[26],"(K-L)":[27],"divergence":[28],"between":[29],"conditional":[31],"probability":[32],"density":[33],"function":[34],"(pdf)":[35],"for":[36,118],"matching":[38,133],"regions":[39,127],"and":[40,91,130],"background":[42],"pdf.":[43],"These":[44],"pdfs":[45],"are":[46,94,128],"modeled":[47],"by":[48,58],"elliptically":[49],"symmetric":[50],"distributions":[51],"(ESDs).":[52],"We":[53],"improve":[54],"ESD":[56],"models":[57],"reducing":[59],"number":[61],"parameters":[63],"without":[64],"any":[65],"significant":[66],"degradation":[67],"in":[68],"modeling":[70],"regions.":[73],"Experimental":[74],"results":[75],"from":[76],"Middlebury":[78,123],"stereo":[79,124],"dataset":[80],"show":[81],"that":[82,100],"accuracy":[84],"estimates":[86],"increased":[90],"fewer":[92],"computations":[93],"required.":[95],"It":[96],"also":[98],"verified":[99],"can":[106],"viewed":[108],"as":[109],"measurement":[111],"how":[113],"suitable":[114],"matching.":[120],"In":[121],"dataset,":[125],"salient":[126],"dense,":[129],"promising":[132],"rate":[134],"achieved.":[136]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}