{"id":"https://openalex.org/W2063411153","doi":"https://doi.org/10.1109/cvpr.2012.6247730","title":"Center-Shift: An approach towards automatic robust mesh segmentation (ARMS)","display_name":"Center-Shift: An approach towards automatic robust mesh segmentation (ARMS)","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2063411153","doi":"https://doi.org/10.1109/cvpr.2012.6247730","mag":"2063411153"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2012.6247730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247730","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/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":true,"raw_author_name":"Mengtian Sun","raw_affiliation_strings":["Purdue University, USA","Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","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":false,"raw_author_name":"Yi Fang","raw_affiliation_strings":["Purdue University, USA","Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University","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":"K. Ramani","raw_affiliation_strings":["Purdue University, USA","Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022377062"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":1.0493,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77008376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"0","issue":null,"first_page":"630","last_page":"637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9836999773979187,"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/segmentation","display_name":"Segmentation","score":0.7515573501586914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6536579728126526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6160255670547485},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5721105337142944},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5511568784713745},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.539616584777832},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4462687075138092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3461507558822632}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7515573501586914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6536579728126526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6160255670547485},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5721105337142944},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5511568784713745},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.539616584777832},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4462687075138092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3461507558822632}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2012.6247730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247730","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:10.1.1.385.9480","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.385.9480","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/centershift-an-approach-towards-automatic-robust-mesh-segmentation-arms/0696.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":25,"referenced_works":["https://openalex.org/W1590776313","https://openalex.org/W1596547119","https://openalex.org/W1964811929","https://openalex.org/W1982465050","https://openalex.org/W1989540182","https://openalex.org/W2019891074","https://openalex.org/W2023808821","https://openalex.org/W2030797443","https://openalex.org/W2036163530","https://openalex.org/W2049308602","https://openalex.org/W2050204708","https://openalex.org/W2076374635","https://openalex.org/W2100657858","https://openalex.org/W2106874266","https://openalex.org/W2121717885","https://openalex.org/W2129516751","https://openalex.org/W2147373864","https://openalex.org/W2151407741","https://openalex.org/W2161960196","https://openalex.org/W2167380492","https://openalex.org/W2294879381","https://openalex.org/W2295332248","https://openalex.org/W3136891595","https://openalex.org/W4234143236","https://openalex.org/W6635776967"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2370307590","https://openalex.org/W2365032270","https://openalex.org/W2185902295","https://openalex.org/W2545971808","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2142709933","https://openalex.org/W2376628591"],"abstract_inverted_index":{"In":[0,87],"the":[1,44,96,108,114,134,140,150,157,175],"area":[2],"of":[3,102,174,179,191,197,204,212],"3D":[4,104,192,205],"shape":[5,206],"analysis,":[6],"research":[7],"in":[8,28,51,77,113],"mesh":[9,47,135],"segmentation":[10,48,159,173,181,207,217],"has":[11,120],"always":[12],"been":[13],"an":[14,164],"important":[15],"topic,":[16],"as":[17],"it":[18],"is":[19,56,62,75,81,137,161,183],"a":[20,92,103,127],"fundamental":[21],"low-level":[22],"task":[23],"which":[24,54,98,168],"can":[25],"be":[26],"utilized":[27],"many":[29,39],"applications":[30,37],"including":[31],"computer-aided":[32],"design,":[33],"computer":[34],"animation,":[35],"biomedical":[36],"and":[38,66,79,194,199],"other":[40],"fields.":[41],"We":[42],"define":[43],"automatic":[45],"robust":[46],"(ARMS)":[49],"method":[50,182],"this":[52,88,180],"paper,":[53],"1)":[55],"invariant":[57],"to":[58,64,71,170,215],"isometric":[59],"transformation,":[60],"2)":[61],"insensitive":[63],"noise":[65,198],"deformation,":[67],"3)":[68],"performs":[69],"closely":[70],"human":[72],"perception,":[73],"4)":[74],"efficient":[76,165],"computation,":[78],"5)":[80],"minimally":[82],"dependent":[83],"on":[84,133,188],"prior":[85],"knowledge.":[86],"work,":[89],"we":[90,125,148],"develop":[91],"new":[93],"framework,":[94],"namely":[95],"Center-Shift,":[97,213],"discovers":[99],"meaningful":[100],"segments":[101],"object":[105],"by":[106],"exploring":[107],"intrinsic":[109],"geometric":[110],"structure":[111],"encoded":[112],"biharmonic":[115,142],"kernel.":[116],"Our":[117],"Center-Shift":[118,151],"framework":[119],"three":[121],"main":[122],"steps:":[123],"First,":[124],"construct":[126],"feature":[128],"space":[129],"where":[130],"every":[131],"vertex":[132],"surface":[136],"associated":[138],"with":[139],"corresponding":[141],"kernel":[143],"density":[144],"function":[145],"value.":[146],"Second,":[147],"apply":[149],"algorithm":[152],"for":[153],"initial":[154,158],"segmentation.":[155],"Third,":[156],"result":[160],"refined":[162],"through":[163,185],"iterative":[166],"process":[167],"leads":[169],"visually":[171],"salient":[172],"shape.":[176],"The":[177,201],"performance":[178,211],"demonstrated":[184],"extensive":[186],"experiments":[187],"various":[189],"sets":[190],"shapes":[193],"different":[195],"types":[196],"deformation.":[200],"experimental":[202],"results":[203],"have":[208],"shown":[209],"better":[210],"compared":[214],"state-of-the-art":[216],"methods.":[218]},"counts_by_year":[{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}