{"id":"https://openalex.org/W2161322734","doi":"https://doi.org/10.1109/robio.2007.4522321","title":"A viewpoint invariant signature descriptor for curved shape recognition","display_name":"A viewpoint invariant signature descriptor for curved shape recognition","publication_year":2007,"publication_date":"2007-12-01","ids":{"openalex":"https://openalex.org/W2161322734","doi":"https://doi.org/10.1109/robio.2007.4522321","mag":"2161322734"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2007.4522321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2007.4522321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Robotics and Biomimetics (ROBIO)","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/A5028418236","display_name":"Shandong Wu","orcid":"https://orcid.org/0000-0002-0770-2203"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shandong Wu","raw_affiliation_strings":["Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642147","display_name":"Youfu Li","orcid":"https://orcid.org/0000-0002-5227-1326"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Youfu Li","raw_affiliation_strings":["Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Manufacturing Engineering & Engineering Management, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326970","display_name":"Jianwei Zhang","orcid":"https://orcid.org/0000-0002-7856-5760"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jianwei Zhang","raw_affiliation_strings":["TAMS, Department of Informatics, University of Hamburg, Hamburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TAMS, Department of Informatics, University of Hamburg, Hamburg, Germany","institution_ids":["https://openalex.org/I159176309"]}]}],"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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1121","last_page":"1126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification 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/T10824","display_name":"Image Retrieval and Classification 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/T14339","display_name":"Image Processing and 3D Reconstruction","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9988999962806702,"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/invariant","display_name":"Invariant (physics)","score":0.7253042459487915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6007271409034729},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.530523419380188},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5200002789497375},{"id":"https://openalex.org/keywords/heat-kernel-signature","display_name":"Heat kernel signature","score":0.5076225996017456},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4904801547527313},{"id":"https://openalex.org/keywords/geometric-shape","display_name":"Geometric shape","score":0.4763098955154419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46845579147338867},{"id":"https://openalex.org/keywords/transformation-geometry","display_name":"Transformation geometry","score":0.46326616406440735},{"id":"https://openalex.org/keywords/differential-geometry","display_name":"Differential geometry","score":0.44886600971221924},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4326314330101013},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.42981332540512085},{"id":"https://openalex.org/keywords/shape-analysis","display_name":"Shape analysis (program analysis)","score":0.42693957686424255},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.4073260426521301},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2601190209388733},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.2556023597717285},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.12148487567901611}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.7253042459487915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6007271409034729},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.530523419380188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5200002789497375},{"id":"https://openalex.org/C45089102","wikidata":"https://www.wikidata.org/wiki/Q5693286","display_name":"Heat kernel signature","level":4,"score":0.5076225996017456},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4904801547527313},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.4763098955154419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46845579147338867},{"id":"https://openalex.org/C32990609","wikidata":"https://www.wikidata.org/wiki/Q306542","display_name":"Transformation geometry","level":2,"score":0.46326616406440735},{"id":"https://openalex.org/C192939610","wikidata":"https://www.wikidata.org/wiki/Q188444","display_name":"Differential geometry","level":2,"score":0.44886600971221924},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4326314330101013},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.42981332540512085},{"id":"https://openalex.org/C112604564","wikidata":"https://www.wikidata.org/wiki/Q7489226","display_name":"Shape analysis (program analysis)","level":3,"score":0.42693957686424255},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.4073260426521301},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2601190209388733},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2556023597717285},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.12148487567901611},{"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/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2007.4522321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2007.4522321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1480308223","https://openalex.org/W1638384496","https://openalex.org/W1835536927","https://openalex.org/W1979821415","https://openalex.org/W2052675233","https://openalex.org/W2054334329","https://openalex.org/W2079587251","https://openalex.org/W2086871434","https://openalex.org/W2111287349","https://openalex.org/W2119909011","https://openalex.org/W2121836097","https://openalex.org/W2123930954","https://openalex.org/W2129112513","https://openalex.org/W2157819784","https://openalex.org/W2166280385","https://openalex.org/W2510824196","https://openalex.org/W6676767171","https://openalex.org/W6677671666"],"related_works":["https://openalex.org/W2002305436","https://openalex.org/W2212089300","https://openalex.org/W2046777610","https://openalex.org/W2080394263","https://openalex.org/W3137963709","https://openalex.org/W1651239183","https://openalex.org/W2073434808","https://openalex.org/W1834774708","https://openalex.org/W2134026984","https://openalex.org/W2129516751"],"abstract_inverted_index":{"Shape":[0],"descriptor":[1,114],"plays":[2],"important":[3],"role":[4],"in":[5],"model":[6],"based":[7,47,92],"subject":[8,23,73],"(object":[9],"or":[10,85],"motion)":[11],"recognition.":[12,118,175],"A":[13],"difficulty":[14],"is":[15,55,124,128,162,169],"that":[16],"the":[17,21,29,68,72,104,120,126,142,145,153,180],"projected":[18],"views":[19],"of":[20,31,81,130,144],"same":[22],"may":[24],"vary":[25],"with":[26],"respect":[27],"to":[28,58,63,74,141,151,172],"changes":[30],"viewpoint":[32,36,111,185],"(camera":[33],"pose).":[34],"Therefore,":[35],"invariant":[37,112],"descriptors":[38,91],"are":[39],"desired.":[40],"To":[41],"this":[42,100],"end,":[43],"many":[44],"geometric":[45,61,69,78],"invariants":[46,49,62,70],"projective":[48],"have":[50,75],"been":[51],"studied.":[52],"However,":[53],"it":[54],"rather":[56],"hard":[57],"use":[59],"most":[60],"represent":[64],"nature":[65],"subjects":[66],"as":[67],"require":[71],"certain":[76],"specific":[77],"configuration":[79],"(combination":[80],"relation-constrained":[82],"points,":[83],"lines":[84],"planes).":[86],"In":[87,99],"addition,":[88],"some":[89],"reported":[90],"on":[93,103],"global":[94],"features":[95],"suffer":[96],"from":[97],"occlusion.":[98],"paper,":[101],"focusing":[102],"local":[105,146],"curve":[106],"features,":[107],"we":[108],"propose":[109],"a":[110,158],"signature":[113,127,161],"for":[115],"curved":[116],"shape":[117,174],"As":[119],"descriptive":[121],"geometry":[122],"element":[123],"curve-oriented,":[125],"capable":[129],"describing":[131],"complex":[132],"subjects.":[133],"Further,":[134],"occlusion":[135],"can":[136],"be":[137],"well":[138],"resolved":[139],"due":[140],"utilization":[143],"differential":[147],"invariants.":[148],"More":[149],"importantly,":[150],"avoid":[152],"noise-sensitive":[154],"high":[155],"order":[156],"derivatives,":[157],"reliable":[159],"approximate":[160],"implemented.":[163],"The":[164,176],"nonlinear":[165],"inter-signature":[166],"matching":[167],"metric":[168],"also":[170],"customized":[171],"perform":[173],"conducted":[177],"experiments":[178],"verified":[179],"signature's":[181],"effectiveness":[182],"and":[183],"its":[184],"invariant.":[186]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
