{"id":"https://openalex.org/W2011739177","doi":"https://doi.org/10.1109/cvpr.2012.6247704","title":"Discrete texture traces: Topological representation of geometric context","display_name":"Discrete texture traces: Topological representation of geometric context","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2011739177","doi":"https://doi.org/10.1109/cvpr.2012.6247704","mag":"2011739177"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","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/A5022886524","display_name":"Jan Ernst","orcid":"https://orcid.org/0000-0002-6342-9213"},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J. Ernst","raw_affiliation_strings":["Corporate Research and Technology, Siemens Corporation Research, Princeton, NJ, USA","Siemens Corporation, Corporate Research and Technology, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Corporate Research and Technology, Siemens Corporation Research, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporation, Corporate Research and Technology, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107837505","display_name":"M. K. Singh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. K. Singh","raw_affiliation_strings":["Corporate Research and Technology, Siemens Corporation Research, Princeton, NJ, USA","Siemens Corporation, Corporate Research and Technology, Princeton, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Corporate Research and Technology, Siemens Corporation Research, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporation, Corporate Research and Technology, Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049160991","display_name":"Visvanathan Ramesh","orcid":"https://orcid.org/0000-0002-8842-905X"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"V. Ramesh","raw_affiliation_strings":["Department of Computer Science and Mathematics, Goethe-University Frankfurt am Main, Frankfurt am Main, Germany","Department of Computer Science and Mathematics, Goethe University, Frankfurt am Main, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, Goethe-University Frankfurt am Main, Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I114090438"]},{"raw_affiliation_string":"Department of Computer Science and Mathematics, Goethe University, Frankfurt am Main, Germany","institution_ids":["https://openalex.org/I114090438"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022886524"],"corresponding_institution_ids":["https://openalex.org/I4210137693"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.0898709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3021","issue":null,"first_page":"422","last_page":"429"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9991999864578247,"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":0.9987999796867371,"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/invariant","display_name":"Invariant (physics)","score":0.759928822517395},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.6379103660583496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6087989211082458},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5105313062667847},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49387437105178833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47066009044647217},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4423127770423889},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4407452344894409},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.42966094613075256},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4152193069458008},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36370140314102173},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.343132346868515},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.324795663356781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27251681685447693}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.759928822517395},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.6379103660583496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6087989211082458},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5105313062667847},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49387437105178833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47066009044647217},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4423127770423889},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4407452344894409},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.42966094613075256},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4152193069458008},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36370140314102173},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.343132346868515},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.324795663356781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27251681685447693},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2012.6247704","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247704","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.664.5775","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.664.5775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://texturetraces.org/papers/TextureTraces_Topology_CVPR2012.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1494702534","https://openalex.org/W1538712971","https://openalex.org/W1790926505","https://openalex.org/W1992047056","https://openalex.org/W2016309246","https://openalex.org/W2031489346","https://openalex.org/W2044407170","https://openalex.org/W2057175746","https://openalex.org/W2059871232","https://openalex.org/W2066513304","https://openalex.org/W2096355125","https://openalex.org/W2098083083","https://openalex.org/W2098789800","https://openalex.org/W2099987538","https://openalex.org/W2109200236","https://openalex.org/W2113228424","https://openalex.org/W2119605622","https://openalex.org/W2119747362","https://openalex.org/W2121193292","https://openalex.org/W2124404372","https://openalex.org/W2137540853","https://openalex.org/W2139047213","https://openalex.org/W2143194472","https://openalex.org/W2147555557","https://openalex.org/W2148227735","https://openalex.org/W2151103935","https://openalex.org/W2162152641","https://openalex.org/W2166835585","https://openalex.org/W2167089254","https://openalex.org/W2172188317","https://openalex.org/W2613779721","https://openalex.org/W4231340930","https://openalex.org/W6629549121","https://openalex.org/W6632188756","https://openalex.org/W6638175796","https://openalex.org/W6674700266","https://openalex.org/W6680116986","https://openalex.org/W6684274140"],"related_works":["https://openalex.org/W2061122711","https://openalex.org/W4247954915","https://openalex.org/W2131958170","https://openalex.org/W2273754158","https://openalex.org/W2336747664","https://openalex.org/W2357130048","https://openalex.org/W4206605161","https://openalex.org/W2092234295","https://openalex.org/W1971270045","https://openalex.org/W2087392923"],"abstract_inverted_index":{"Modeling":[0],"representations":[1,33],"of":[2,59,63,75,106,145,171,183,186,190],"image":[3,65,120,167],"patches":[4],"that":[5,29,161],"are":[6,35,95],"quasi-invariant":[7,36,111],"to":[8,37,71,97,109,112,131],"spatial":[9,114],"deformations":[10,39,115],"is":[11,55,67],"an":[12,64],"important":[13],"problem":[14],"in":[15],"computer":[16],"vision.":[17],"In":[18],"this":[19],"paper,":[20],"we":[21,159],"propose":[22,46],"a":[23,47,56,86,104,172],"novel":[24],"concept,":[25],"the":[26,51,60,76,89,132,143,146,169,187,191],"texture":[27],"trace,":[28,53],"allows":[30],"sparse":[31],"patch":[32],"which":[34,54],"smooth":[38,113],"and":[40,66,83,101],"robust":[41],"against":[42],"occlusions.":[43],"We":[44,78,122],"first":[45],"continuous":[48],"domain":[49],"model,":[50],"profile":[52],"function":[57],"only":[58],"topological":[61],"properties":[62,82],"by":[68,103],"construction":[69],"invariant":[70],"any":[72],"homeomorphic":[73],"transformation":[74],"domain.":[77],"analyze":[79],"its":[80],"theoretical":[81],"then":[84,123],"derive":[85],"discrete-domain":[87],"approximation,":[88],"Discrete":[90],"Texture":[91],"Trace":[92],"(DTT).":[93],"DTTs":[94,126],"designed":[96],"be":[98,110,128],"computationally":[99],"practical":[100],"shown":[102],"set":[105],"controlled":[107],"experiments":[108],"as":[116,118],"well":[117],"common":[119],"perturbations.":[121],"show":[124,160],"how":[125],"can":[127],"naturally":[129],"adapted":[130],"incremental":[133,176],"tracking":[134],"problem,":[135],"yielding":[136],"highly":[137],"precise":[138],"results":[139],"on":[140,148,194],"par":[141],"with":[142,162],"state":[144,185],"art":[147,188],"challenging":[149,195],"real":[150],"data":[151],"without":[152],"using":[153,165],"heavy":[154],"machine":[155],"learning":[156],"tools.":[157],"Indeed,":[158],"even":[163],"just":[164],"one":[166],"at":[168],"start":[170],"sequence":[173],"(i.e.":[174],"no":[175],"updating),":[177],"our":[178],"method":[179],"already":[180],"outperforms":[181],"four":[182],"six":[184],"methods":[189],"recent":[192],"literature":[193],"sequences.":[196]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
