{"id":"https://openalex.org/W2462841107","doi":"https://doi.org/10.1155/2016/5328130","title":"Edge Detection from RGB-D Image Based on Structured Forests","display_name":"Edge Detection from RGB-D Image Based on Structured Forests","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2462841107","doi":"https://doi.org/10.1155/2016/5328130","mag":"2462841107"},"language":"en","primary_location":{"id":"doi:10.1155/2016/5328130","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/5328130","pdf_url":"http://downloads.hindawi.com/journals/js/2016/5328130.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/js/2016/5328130.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021065636","display_name":"Heng Zhang","orcid":"https://orcid.org/0000-0001-9027-3261"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Zhang","raw_affiliation_strings":["School of Information Engineering, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081626170","display_name":"Zhenqiang Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenqiang Wen","raw_affiliation_strings":["School of Information Engineering, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394344","display_name":"Yanli Liu","orcid":"https://orcid.org/0000-0002-2691-034X"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanli Liu","raw_affiliation_strings":["School of Information Engineering, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087493208","display_name":"Gang Xu","orcid":"https://orcid.org/0000-0001-9875-051X"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Xu","raw_affiliation_strings":["School of Information Engineering, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100394344"],"corresponding_institution_ids":["https://openalex.org/I13985625"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.1689,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.5577661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9987999796867371,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9987999796867371,"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":0.9983999729156494,"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/T10052","display_name":"Medical Image Segmentation Techniques","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/random-forest","display_name":"Random forest","score":0.7874359488487244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7406566143035889},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6931051015853882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5972179174423218},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5410721302032471},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5243523120880127},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5114004015922546},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.47549399733543396},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4404177963733673},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4238012731075287},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.423788458108902},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3975587487220764},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3842697739601135}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7874359488487244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7406566143035889},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6931051015853882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5972179174423218},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5410721302032471},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5243523120880127},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5114004015922546},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.47549399733543396},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4404177963733673},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4238012731075287},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.423788458108902},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3975587487220764},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3842697739601135}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2016/5328130","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/5328130","pdf_url":"http://downloads.hindawi.com/journals/js/2016/5328130.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0570a0c319ec417fb3b8e69d096c7b86","is_oa":true,"landing_page_url":"https://doaj.org/article/0570a0c319ec417fb3b8e69d096c7b86","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2016 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2016/5328130","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/5328130","pdf_url":"http://downloads.hindawi.com/journals/js/2016/5328130.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1211894840","display_name":null,"funder_award_id":"61563014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3071601174","display_name":null,"funder_award_id":"20161BAB202068","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3409019516","display_name":null,"funder_award_id":"61165007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6230227901","display_name":null,"funder_award_id":"20161BAB202068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7868175058","display_name":null,"funder_award_id":"61165007","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G8064654023","display_name":null,"funder_award_id":"61563014","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2462841107.pdf","grobid_xml":"https://content.openalex.org/works/W2462841107.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1616787390","https://openalex.org/W1976047850","https://openalex.org/W2003370853","https://openalex.org/W2019831869","https://openalex.org/W2099046646","https://openalex.org/W2109606373","https://openalex.org/W2110158442","https://openalex.org/W2119823327","https://openalex.org/W2134778014","https://openalex.org/W2145023731","https://openalex.org/W2147469781","https://openalex.org/W2152210568","https://openalex.org/W4293171766"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W2036609560","https://openalex.org/W2889302474"],"abstract_inverted_index":{"This":[0],"paper":[1],"looks":[2],"into":[3],"the":[4,23,38,45,49,68,72,76,82,98,122,128,131,136,139,150,153,160,163],"fundamental":[5],"problem":[6],"in":[7],"computer":[8],"vision:":[9],"edge":[10,16,129],"detection.":[11],"We":[12],"propose":[13],"a":[14,86,92],"new":[15],"detector":[17],"using":[18,97],"structured":[19,83,111],"random":[20,69,112,115],"forests":[21],"as":[22],"classifier,":[24,71],"which":[25],"can":[26],"make":[27],"full":[28],"use":[29],"of":[30,48,56,75,95,130,142,149,156,162],"RGB-D":[31,60,123],"image":[32,61,124],"information":[33,55,77,125],"from":[34,59],"Kinect.":[35],"Before":[36],"classification,":[37],"adaptive":[39],"bilateral":[40],"filter":[41],"is":[42,62,79,106,118],"used":[43,107,119],"for":[44,126],"denoising":[46],"processing":[47],"depth":[50],"image.":[51,132],"As":[52],"data":[53],"sources,":[54],"13":[57],"channels":[58],"computed.":[63],"In":[64,133],"order":[65],"to":[66,91,108,120,135],"train":[67,109],"forest":[70,116],"approximation":[73],"measurement":[74],"gain":[78],"used.":[80],"All":[81],"labels":[84,96],"at":[85],"given":[87],"node":[88],"are":[89,145],"mapped":[90],"discrete":[93],"set":[94],"Principal":[99],"Component":[100],"Analysis":[101],"(PCA)":[102],"method.":[103],"NYUD2":[104],"dataset":[105],"our":[110,157],"forests.":[113],"The":[114,147],"algorithm":[117,158],"classify":[121],"extracting":[127],"addition":[134],"proposed":[137],"methodology,":[138],"quantitative":[140],"comparisons":[141],"different":[143],"algorithms":[144],"presented.":[146],"results":[148],"experiments":[151],"demonstrate":[152],"significant":[154],"improvements":[155],"over":[159],"state":[161],"art.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}