{"id":"https://openalex.org/W2008927900","doi":"https://doi.org/10.1109/fcv.2013.6485482","title":"Depth map estimation based on geometric scene categorization","display_name":"Depth map estimation based on geometric scene categorization","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2008927900","doi":"https://doi.org/10.1109/fcv.2013.6485482","mag":"2008927900"},"language":"en","primary_location":{"id":"doi:10.1109/fcv.2013.6485482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fcv.2013.6485482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision","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/A5052965328","display_name":"Hyukzae Lee","orcid":"https://orcid.org/0000-0001-6371-5300"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyukzae Lee","raw_affiliation_strings":["Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","[Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea]","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005339518","display_name":"Chanho Jung","orcid":"https://orcid.org/0000-0003-3145-6732"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chanho Jung","raw_affiliation_strings":["Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","[Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea]","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069759184","display_name":"Changick Kim","orcid":"https://orcid.org/0000-0001-9323-8488"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changick Kim","raw_affiliation_strings":["Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","[Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"[Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea]","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052965328"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.08361233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"23","issue":null,"first_page":"170","last_page":"173"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7997207641601562},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7255384922027588},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6548348069190979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6544156074523926},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6299582719802856},{"id":"https://openalex.org/keywords/2d-to-3d-conversion","display_name":"2D to 3D conversion","score":0.6173195838928223},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5579233765602112},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4722294807434082},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.42968854308128357}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7997207641601562},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7255384922027588},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6548348069190979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6544156074523926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6299582719802856},{"id":"https://openalex.org/C84824328","wikidata":"https://www.wikidata.org/wiki/Q4633097","display_name":"2D to 3D conversion","level":3,"score":0.6173195838928223},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5579233765602112},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4722294807434082},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.42968854308128357}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fcv.2013.6485482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fcv.2013.6485482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 19th Korea-Japan Joint Workshop on Frontiers of Computer Vision","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1999478155","https://openalex.org/W2030716039","https://openalex.org/W2050133027","https://openalex.org/W2071359700","https://openalex.org/W2117709132","https://openalex.org/W2130233513","https://openalex.org/W2146312917","https://openalex.org/W2150108058","https://openalex.org/W6668574674"],"related_works":["https://openalex.org/W2082709309","https://openalex.org/W1981739126","https://openalex.org/W2020857290","https://openalex.org/W2147475005","https://openalex.org/W2141806251","https://openalex.org/W1480652354","https://openalex.org/W3210711677","https://openalex.org/W4200218943","https://openalex.org/W2044147530","https://openalex.org/W3111845905"],"abstract_inverted_index":{"Recently":[0],"there":[1],"have":[2],"been":[3],"studies":[4],"to":[5,37,58,86],"predict":[6],"3D":[7,19],"geometric":[8,26],"scene":[9,20,27],"categories":[10],"from":[11,66],"a":[12,25,39,67],"single":[13,68],"monocular":[14],"image,":[15],"where":[16],"estimation":[17],"of":[18,62],"structure":[21],"is":[22],"formulated":[23],"as":[24],"categorization":[28],"(GSC)":[29],"problem.":[30],"This":[31],"paper":[32],"employs":[33],"the":[34,51,60],"GSC":[35,52],"method":[36,76],"build":[38],"depth":[40,64,80],"map":[41,65],"generation":[42],"system":[43],"for":[44],"2D-to-3D":[45,87],"image":[46,88],"conversion.":[47,89],"We":[48],"show":[49],"how":[50],"algorithm":[53],"can":[54,83],"be":[55,84],"effectively":[56],"extended":[57],"solve":[59],"problem":[61],"estimating":[63],"image.":[69],"Experimental":[70],"results":[71],"demonstrate":[72],"that":[73],"our":[74],"proposed":[75],"gives":[77],"perceptually":[78],"plausible":[79],"maps,":[81],"which":[82],"applied":[85]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}