{"id":"https://openalex.org/W2548265782","doi":"https://doi.org/10.1109/acpr.2011.6166609","title":"Identical object segmentation through level sets with similarity constraint","display_name":"Identical object segmentation through level sets with similarity constraint","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2548265782","doi":"https://doi.org/10.1109/acpr.2011.6166609","mag":"2548265782"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on 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/A5100962833","display_name":"Hongbin Xie","orcid":"https://orcid.org/0009-0008-2057-9060"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongbin Xie","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103205993","display_name":"Gang Zeng","orcid":"https://orcid.org/0000-0002-9575-4651"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Zeng","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040699855","display_name":"Rui Gan","orcid":"https://orcid.org/0000-0002-4471-9098"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Gan","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110213667","display_name":"Hongbin Zha","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Zha","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100962833"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34173882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"480","last_page":"484"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9983000159263611,"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/constraint","display_name":"Constraint (computer-aided design)","score":0.7322800755500793},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7303770184516907},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.6238574385643005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5935020446777344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5572242140769958},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5509905815124512},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5424497723579407},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.530326783657074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5272780060768127},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5066772103309631},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47200465202331543},{"id":"https://openalex.org/keywords/smith\u2013waterman-algorithm","display_name":"Smith\u2013Waterman algorithm","score":0.4477505683898926},{"id":"https://openalex.org/keywords/matrix-similarity","display_name":"Matrix similarity","score":0.43365800380706787},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.41685181856155396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3953908681869507},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36448925733566284},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2515909671783447},{"id":"https://openalex.org/keywords/sequence-alignment","display_name":"Sequence alignment","score":0.09817802906036377},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09166541695594788}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.7322800755500793},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7303770184516907},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6238574385643005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5935020446777344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5572242140769958},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5509905815124512},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5424497723579407},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.530326783657074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5272780060768127},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5066772103309631},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47200465202331543},{"id":"https://openalex.org/C72802188","wikidata":"https://www.wikidata.org/wiki/Q1683352","display_name":"Smith\u2013Waterman algorithm","level":5,"score":0.4477505683898926},{"id":"https://openalex.org/C39739852","wikidata":"https://www.wikidata.org/wiki/Q254491","display_name":"Matrix similarity","level":3,"score":0.43365800380706787},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.41685181856155396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3953908681869507},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36448925733566284},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2515909671783447},{"id":"https://openalex.org/C45484198","wikidata":"https://www.wikidata.org/wiki/Q827246","display_name":"Sequence alignment","level":4,"score":0.09817802906036377},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09166541695594788},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C93779851","wikidata":"https://www.wikidata.org/wiki/Q271977","display_name":"Partial differential equation","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acpr.2011.6166609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1489669443","https://openalex.org/W1969552659","https://openalex.org/W2105556527","https://openalex.org/W2109445464","https://openalex.org/W2110929154","https://openalex.org/W2114013702","https://openalex.org/W2116040950","https://openalex.org/W2118335921","https://openalex.org/W2119531662","https://openalex.org/W2124386111","https://openalex.org/W2124404372","https://openalex.org/W2137756759","https://openalex.org/W2141388549","https://openalex.org/W2142350269","https://openalex.org/W2157788957","https://openalex.org/W2161576013","https://openalex.org/W2164315957","https://openalex.org/W2169903983","https://openalex.org/W2171706135","https://openalex.org/W2406442301","https://openalex.org/W3211330693","https://openalex.org/W6629144004","https://openalex.org/W6680294254","https://openalex.org/W6713818579"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2030690614","https://openalex.org/W4237936143"],"abstract_inverted_index":{"Unsupervised":[0],"identical":[1,41,119,129],"object":[2],"segmentation":[3],"remains":[4],"a":[5,35,83],"challenging":[6],"problem":[7],"in":[8,15,66,74],"vision":[9],"research":[10],"due":[11],"to":[12,52,96,110],"the":[13,21,48,54,61,92,102,116,128,133,143,146,154,159],"difficulties":[14],"obtaining":[16],"high-level":[17],"structural":[18],"knowledge":[19],"about":[20],"scene.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26],"present":[27],"an":[28],"algorithm":[29,50,80],"based":[30],"on":[31],"level":[32],"set":[33],"with":[34,76,82,113],"novel":[36],"similarity":[37,55,103,106],"constraint":[38,56,107],"term":[39],"for":[40],"objects":[42,120,130],"segmentation.":[43],"The":[44,79,105,124,137],"key":[45],"component":[46],"of":[47,68,85,148,158],"proposed":[49,160],"is":[51,64,108,121],"embed":[53],"into":[57],"curve":[58,144],"evolution,":[59],"where":[60],"evolving":[62],"speed":[63],"high":[65],"regions":[67,100,135],"similar":[69,99,134,149],"appearance":[70],"and":[71,90,131,139,156],"becomes":[72],"low":[73],"areas":[75],"distinct":[77],"contents.":[78],"starts":[81],"pair":[84],"seed":[86],"matches":[87],"(e.g.":[88],"SIFT)":[89],"evolve":[91],"small":[93],"initial":[94],"circle":[95],"form":[97],"large":[98],"under":[101],"constraint.":[104],"related":[109],"local":[111],"alignment":[112,138],"assumption":[114],"that":[115],"warp":[117,126],"between":[118],"affine":[122],"transformation.":[123],"right":[125],"aligns":[127],"promotes":[132],"growth.":[136],"expansion":[140],"alternate":[141],"until":[142],"reaches":[145],"boundaries":[147],"objects.":[150],"Real":[151],"experiments":[152],"validates":[153],"efficiency":[155],"effectiveness":[157],"algorithm.":[161]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}