{"id":"https://openalex.org/W2129516751","doi":"https://doi.org/10.1109/cvprw.2011.5981684","title":"Temperature distribution descriptor for robust 3D shape retrieval","display_name":"Temperature distribution descriptor for robust 3D shape retrieval","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2129516751","doi":"https://doi.org/10.1109/cvprw.2011.5981684","mag":"2129516751"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2011.5981684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","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/A5110932318","display_name":"Yi Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yi Fang","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA","Purdue University West Lafayette IN USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University West Lafayette IN USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022377062","display_name":"Mengtian Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengtian Sun","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA","Purdue University West Lafayette IN USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University West Lafayette IN USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004602626","display_name":"Karthik Ramani","orcid":"https://orcid.org/0000-0001-8639-5135"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karthik Ramani","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA","Purdue University West Lafayette IN USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University West Lafayette IN USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110932318"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":3.5222,"has_fulltext":false,"cited_by_count":123,"citation_normalized_percentile":{"value":0.92785782,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9984999895095825,"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/T14339","display_name":"Image Processing and 3D Reconstruction","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/heat-kernel-signature","display_name":"Heat kernel signature","score":0.8542778491973877},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6436440944671631},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.643286406993866},{"id":"https://openalex.org/keywords/shape-analysis","display_name":"Shape analysis (program analysis)","score":0.6209467053413391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6109130382537842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5796911120414734},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5568573474884033},{"id":"https://openalex.org/keywords/geometric-shape","display_name":"Geometric shape","score":0.5268845558166504},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5262678861618042},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4705788493156433},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.46715420484542847},{"id":"https://openalex.org/keywords/topological-skeleton","display_name":"Topological skeleton","score":0.46424683928489685},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4576323330402374},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.43004798889160156},{"id":"https://openalex.org/keywords/point-distribution-model","display_name":"Point distribution model","score":0.4178958535194397},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4176065921783447},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4005943238735199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.286746621131897},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.2408440113067627},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1372736096382141},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.12646925449371338},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12487345933914185},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11519408226013184}],"concepts":[{"id":"https://openalex.org/C45089102","wikidata":"https://www.wikidata.org/wiki/Q5693286","display_name":"Heat kernel signature","level":4,"score":0.8542778491973877},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6436440944671631},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.643286406993866},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.6209467053413391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6109130382537842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5796911120414734},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5568573474884033},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.5268845558166504},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5262678861618042},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4705788493156433},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.46715420484542847},{"id":"https://openalex.org/C112785775","wikidata":"https://www.wikidata.org/wiki/Q786441","display_name":"Topological skeleton","level":4,"score":0.46424683928489685},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4576323330402374},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.43004798889160156},{"id":"https://openalex.org/C118317068","wikidata":"https://www.wikidata.org/wiki/Q2100760","display_name":"Point distribution model","level":2,"score":0.4178958535194397},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4176065921783447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4005943238735199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.286746621131897},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.2408440113067627},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1372736096382141},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.12646925449371338},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12487345933914185},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11519408226013184},{"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/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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvprw.2011.5981684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.385.5918","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.5918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://engineering.purdue.edu/PRECISE/Publications/temperature-distribution-descriptor-for-robust-3d-shape-retrieval/TD.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W78394229","https://openalex.org/W1491940218","https://openalex.org/W1561952261","https://openalex.org/W1590776313","https://openalex.org/W1596547119","https://openalex.org/W1946110011","https://openalex.org/W1982465050","https://openalex.org/W2005276292","https://openalex.org/W2007206727","https://openalex.org/W2019891074","https://openalex.org/W2021122545","https://openalex.org/W2046150577","https://openalex.org/W2050204708","https://openalex.org/W2057018318","https://openalex.org/W2070058191","https://openalex.org/W2080070865","https://openalex.org/W2089805759","https://openalex.org/W2099606917","https://openalex.org/W2099789128","https://openalex.org/W2100657858","https://openalex.org/W2106629076","https://openalex.org/W2108616107","https://openalex.org/W2110340327","https://openalex.org/W2121717885","https://openalex.org/W2124561101","https://openalex.org/W2140500712","https://openalex.org/W2147373864","https://openalex.org/W2149708440","https://openalex.org/W2150559991","https://openalex.org/W2151407741","https://openalex.org/W2151497844","https://openalex.org/W2153451832","https://openalex.org/W2155957710","https://openalex.org/W2157575450","https://openalex.org/W2172246656","https://openalex.org/W2185278568","https://openalex.org/W2295332248","https://openalex.org/W2404096470","https://openalex.org/W4234143236","https://openalex.org/W4248613739","https://openalex.org/W4285719527","https://openalex.org/W6629400377","https://openalex.org/W6633448084","https://openalex.org/W6635776967","https://openalex.org/W6682098494","https://openalex.org/W6686975262","https://openalex.org/W6697059570"],"related_works":["https://openalex.org/W2002305436","https://openalex.org/W1957945098","https://openalex.org/W2153885248","https://openalex.org/W2135981746","https://openalex.org/W1651239183","https://openalex.org/W2212089300","https://openalex.org/W2046777610","https://openalex.org/W2003832741","https://openalex.org/W1974460597","https://openalex.org/W2073434808"],"abstract_inverted_index":{"Recent":[0],"developments":[1],"in":[2,7,106,152],"acquisition":[3],"techniques":[4],"are":[5],"resulting":[6],"a":[8,45,55,80,153,157],"very":[9],"rapid":[10],"growth":[11],"of":[12,15,33,54,67,92,156,180,185],"the":[13,38,63,68,94,99,104,129,133,169,178,192],"number":[14],"available":[16],"three":[17],"dimensional":[18,159],"(3D)":[19],"models":[20,193],"across":[21],"areas":[22],"as":[23,25],"diverse":[24],"engineering,":[26],"medicine":[27],"and":[28,65,111,162,172,189,197],"biology.":[29],"It":[30,101],"is":[31,59,90,119,150],"therefore":[32],"great":[34],"interest":[35],"to":[36,166],"develop":[37,79],"efficient":[39],"shape":[40,56,69,73,82,105,130,170,187],"retrieval":[41,57,173],"engines":[42],"that,":[43],"given":[44],"query":[46],"object,":[47],"return":[48],"similar":[49],"3D":[50,186],"objects.":[51],"The":[52,125,147],"performance":[53],"engine":[58],"ultimately":[60],"determined":[61],"by":[62,121,122,131],"quality":[64],"characteristics":[66],"descriptor":[70,118,127,149,182],"used":[71],"for":[72,191],"representation.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78],"novel":[81],"descriptor,":[83,88],"called":[84],"temperature":[85,135],"distribution":[86,136],"(TD)":[87],"which":[89],"capable":[91],"exploring":[93],"intrinsic":[95],"geometric":[96],"features":[97],"on":[98],"shape.":[100],"intuitively":[102],"interprets":[103],"an":[107],"isometrically-invariant,":[108],"shape-aware,":[109],"noise":[110,199],"small":[112],"topological":[113],"changes":[114],"insensitive":[115],"way.":[116],"TD":[117,126,148,181],"driven":[120],"heat":[123,143],"kernel.":[124],"understands":[128],"evaluating":[132],"surface":[134],"evolution":[137],"with":[138],"time":[139],"after":[140],"applying":[141],"unit":[142],"at":[144,194],"each":[145],"vertex.":[146],"represented":[151],"concise":[154],"form":[155],"one":[158],"(1D)":[160],"histogram,":[161],"captures":[163],"enough":[164],"information":[165],"robustly":[167],"handle":[168],"matching":[171,188],"process.":[174],"Experimental":[175],"results":[176],"demonstrate":[177],"effectiveness":[179],"within":[183],"applications":[184],"searching":[190],"different":[195],"poses":[196],"various":[198],"levels.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":90},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}