{"id":"https://openalex.org/W2513246190","doi":"https://doi.org/10.1109/icip.2016.7533115","title":"Fast depth estimation from single image using structured forest","display_name":"Fast depth estimation from single image using structured forest","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2513246190","doi":"https://doi.org/10.1109/icip.2016.7533115","mag":"2513246190"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5101662423","display_name":"Shuai Fang","orcid":"https://orcid.org/0000-0002-9364-6462"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Fang","raw_affiliation_strings":["School of Computer and Information, University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011337870","display_name":"Ren Jin","orcid":"https://orcid.org/0000-0002-4432-3181"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ren Jin","raw_affiliation_strings":["School of Computer and Information, University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004299336","display_name":"Yang Cao","orcid":"https://orcid.org/0000-0002-2891-4379"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Cao","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101662423"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":0.668,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7712924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"31","issue":null,"first_page":"4022","last_page":"4026"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9995999932289124,"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/computer-science","display_name":"Computer science","score":0.594610333442688},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.531356155872345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5264730453491211},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5240055322647095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5080225467681885},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3884512782096863},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3571888506412506},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2769033908843994},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10051164031028748}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.594610333442688},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.531356155872345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5264730453491211},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5240055322647095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5080225467681885},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3884512782096863},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3571888506412506},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2769033908843994},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10051164031028748},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7533115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W278712781","https://openalex.org/W1486646730","https://openalex.org/W1545195129","https://openalex.org/W1803059841","https://openalex.org/W1818727054","https://openalex.org/W1905829557","https://openalex.org/W1976047850","https://openalex.org/W1978993048","https://openalex.org/W1990592195","https://openalex.org/W2026203852","https://openalex.org/W2027327099","https://openalex.org/W2083047701","https://openalex.org/W2103359735","https://openalex.org/W2132947399","https://openalex.org/W2145567954","https://openalex.org/W2171740948","https://openalex.org/W2951234442","https://openalex.org/W6632690137","https://openalex.org/W6638472885","https://openalex.org/W6647720530","https://openalex.org/W6685261749","https://openalex.org/W6940791371"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W2576994247","https://openalex.org/W2608353378","https://openalex.org/W782553550","https://openalex.org/W4249206767","https://openalex.org/W2563559453","https://openalex.org/W2382330008","https://openalex.org/W2633218168","https://openalex.org/W2059707233","https://openalex.org/W1519970947"],"abstract_inverted_index":{"Depth":[0],"estimation":[1,73,152],"from":[2,36],"single":[3,37],"image":[4,98],"is":[5,46,139],"an":[6],"important":[7],"component":[8],"of":[9,43,56,71,90,111,129,141],"many":[10],"vision":[11],"systems,":[12],"including":[13],"robot":[14],"navigation,":[15],"motion":[16],"capture":[17],"and":[18,114,125],"video":[19],"surveillance.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24,106],"propose":[25],"to":[26,32,47,59,99],"apply":[27],"a":[28,75,88,109],"structure":[29,50,130],"forest":[30,86,117],"framework":[31,78,118],"infer":[33],"depth":[34,57,62,72,103,151],"information":[35],"RGB":[38],"image.":[39],"The":[40],"core":[41],"idea":[42],"our":[44],"approach":[45,133],"exploit":[48],"the":[49,61,69,97,101,115,121,155],"properties":[51],"exhibit":[52],"in":[53,74],"local":[54],"patches":[55],"map":[58],"learn":[60],"level":[63],"for":[64],"each":[65],"pixel.":[66],"We":[67],"formulate":[68],"problem":[70],"structured":[76,91],"learning":[77],"based":[79],"on":[80,154],"random":[81],"decision":[82],"forests.":[83],"Each":[84],"trained":[85],"infers":[87],"patch":[89],"labels":[92],"that":[93,138],"are":[94],"accumulated":[95],"across":[96],"obtain":[100],"final":[102],"map.":[104],"Moreover,":[105],"systematically":[107],"investigate":[108],"variety":[110],"depth-relevant":[112],"features":[113],"regression":[116],"automatically":[119],"determines":[120],"best":[122],"feature":[123],"combination":[124],"uses":[126],"as":[127],"input":[128],"forest.":[131],"Our":[132],"achieves":[134],"quasi":[135],"real-time":[136],"performance":[137],"orders":[140],"magnitude":[142],"faster":[143],"than":[144],"state-of-the-art":[145,150],"approaches,":[146],"while":[147],"also":[148],"achieving":[149],"results":[153],"Make3D":[156],"dataset.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
