{"id":"https://openalex.org/W2408179605","doi":"https://doi.org/10.1109/wacv.2016.7477724","title":"Texture instance similarity via dense correspondences","display_name":"Texture instance similarity via dense correspondences","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2408179605","doi":"https://doi.org/10.1109/wacv.2016.7477724","mag":"2408179605"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2016.7477724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-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/A5075765401","display_name":"Tal Hassner","orcid":"https://orcid.org/0000-0003-2275-1406"},"institutions":[{"id":"https://openalex.org/I164950643","display_name":"Open University of Israel","ror":"https://ror.org/027z64205","country_code":"IL","type":"education","lineage":["https://openalex.org/I164950643"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Tal Hassner","raw_affiliation_strings":["The open University of Israel","USC/Information Sciences Institute"],"affiliations":[{"raw_affiliation_string":"The open University of Israel","institution_ids":["https://openalex.org/I164950643"]},{"raw_affiliation_string":"USC/Information Sciences Institute","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047800879","display_name":"Gilad Saban","orcid":null},"institutions":[{"id":"https://openalex.org/I164950643","display_name":"Open University of Israel","ror":"https://ror.org/027z64205","country_code":"IL","type":"education","lineage":["https://openalex.org/I164950643"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Gilad Saban","raw_affiliation_strings":["The open University of Israel"],"affiliations":[{"raw_affiliation_string":"The open University of Israel","institution_ids":["https://openalex.org/I164950643"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078102229","display_name":"Lior Wolf","orcid":"https://orcid.org/0000-0001-5578-8892"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Lior Wolf","raw_affiliation_strings":["Tel-Aviv University"],"affiliations":[{"raw_affiliation_string":"Tel-Aviv University","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075765401"],"corresponding_institution_ids":["https://openalex.org/I164950643"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03891788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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":0.9976999759674072,"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":0.9976999759674072,"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/T12388","display_name":"Identification and Quantification in Food","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9932000041007996,"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":0.7972668409347534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7501302361488342},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7009391784667969},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6896778345108032},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6889051198959351},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6245795488357544},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5744532942771912},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.5125979781150818},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4805231988430023},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4754728376865387},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4472987949848175},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.4227811098098755},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4102098047733307},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33053725957870483},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.17576438188552856}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7972668409347534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7501302361488342},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7009391784667969},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6896778345108032},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6889051198959351},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6245795488357544},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5744532942771912},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.5125979781150818},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4805231988430023},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4754728376865387},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4472987949848175},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.4227811098098755},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4102098047733307},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33053725957870483},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17576438188552856},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv.2016.7477724","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1512367887","https://openalex.org/W1569096659","https://openalex.org/W1639795441","https://openalex.org/W1901447884","https://openalex.org/W1916406603","https://openalex.org/W1938156704","https://openalex.org/W1996558053","https://openalex.org/W2001785244","https://openalex.org/W2006516328","https://openalex.org/W2015471936","https://openalex.org/W2016020430","https://openalex.org/W2019919182","https://openalex.org/W2026636863","https://openalex.org/W2031991334","https://openalex.org/W2036540135","https://openalex.org/W2059432853","https://openalex.org/W2066941820","https://openalex.org/W2071203477","https://openalex.org/W2086518553","https://openalex.org/W2090518410","https://openalex.org/W2115948255","https://openalex.org/W2119821739","https://openalex.org/W2124861766","https://openalex.org/W2127717018","https://openalex.org/W2131461205","https://openalex.org/W2147141800","https://openalex.org/W2147211571","https://openalex.org/W2150145411","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2157035885","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2163773367","https://openalex.org/W2167383966","https://openalex.org/W2468358628","https://openalex.org/W4230579564","https://openalex.org/W4239510810","https://openalex.org/W6640184732","https://openalex.org/W6640669835","https://openalex.org/W6658367621","https://openalex.org/W6673243404","https://openalex.org/W6681645188","https://openalex.org/W6682265384","https://openalex.org/W6682855966"],"related_works":["https://openalex.org/W2612164513","https://openalex.org/W2165772202","https://openalex.org/W1975273303","https://openalex.org/W2115502907","https://openalex.org/W1980033651","https://openalex.org/W4230530180","https://openalex.org/W2044270176","https://openalex.org/W2388733570","https://openalex.org/W2374828682","https://openalex.org/W2153116791"],"abstract_inverted_index":{"This":[0],"paper":[1],"concerns":[2],"the":[3,7,28,66,77,85,88,92],"task":[4],"of":[5,9,68,79,87],"evaluating":[6],"similarity":[8,102],"textures":[10],"instances:":[11],"Rather":[12],"than":[13],"discriminating":[14],"between":[15,91],"different":[16,124],"texture":[17,30,70,128],"classes,":[18],"our":[19,118],"goal":[20],"is":[21],"to":[22,59,64,123],"identify":[23],"when":[24],"two":[25,69,93,146],"images":[26],"display":[27],"same":[29],"instance.":[31],"To":[32],"address":[33],"this":[34,135],"problem,":[35],"we":[36],"propose":[37],"an":[38,60],"approach":[39,117],"inspired":[40],"by":[41,104,136],"alignment":[42,115],"based":[43,116],"recognition":[44,144],"theories.":[45],"We":[46,72,133],"offer":[47],"a":[48,52,113],"pixel-based":[49],"method,":[50],"employing":[51],"robust,":[53],"dense":[54],"correspondence":[55],"estimation":[56],"engine,":[57],"applied":[58,122],"efficient,":[61],"novel":[62],"representation,":[63],"match":[65],"pixels":[67],"photos.":[71],"describe":[73],"means":[74],"for":[75,142,149],"quantifying":[76],"quality":[78,86,96],"these":[80],"matches,":[81],"considering":[82],"in":[83],"particular":[84],"flow":[89],"established":[90],"images.":[94],"These":[95],"measures":[97],"are":[98],"effectively":[99],"combined":[100],"into":[101],"scores":[103],"using":[105],"standard":[106],"linear":[107],"SVM":[108],"classifiers.":[109],"By":[110],"relying":[111],"on":[112,140],"general,":[114],"method":[119],"can":[120],"be":[121],"problem":[125],"domains":[126],"(different":[127],"classes)":[129],"with":[130],"little":[131],"modification.":[132],"demonstrate":[134],"reporting":[137],"state-of-the-art":[138],"results":[139],"benchmarks":[141,148],"fingerprint":[143],"and":[145],"new":[147],"texture-based":[150],"animal":[151],"identification.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}