{"id":"https://openalex.org/W2964112788","doi":"https://doi.org/10.1145/3306214.3338557","title":"IR surface reflectance estimation and material type recognition using two-stream net and kinect camera","display_name":"IR surface reflectance estimation and material type recognition using two-stream net and kinect camera","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2964112788","doi":"https://doi.org/10.1145/3306214.3338557","mag":"2964112788"},"language":"en","primary_location":{"id":"doi:10.1145/3306214.3338557","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3306214.3338557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2019 Posters","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/A5054026585","display_name":"SeokYeong Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"SeokYeong Lee","raw_affiliation_strings":["Kyunghee University"],"affiliations":[{"raw_affiliation_string":"Kyunghee University","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008141356","display_name":"Hwasup Lim","orcid":"https://orcid.org/0000-0003-2957-668X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"HwaSup Lim","raw_affiliation_strings":["KIST"],"affiliations":[{"raw_affiliation_string":"KIST","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005256141","display_name":"Sangchul Ahn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"SangChul Ahn","raw_affiliation_strings":["KIST"],"affiliations":[{"raw_affiliation_string":"KIST","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040011126","display_name":"SeungKyu Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"SeungKyu Lee","raw_affiliation_strings":["Kyunghee University"],"affiliations":[{"raw_affiliation_string":"Kyunghee University","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054026585"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":1.6481,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8954874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987999796867371,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7771382331848145},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.6539243459701538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6391392946243286},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6257278323173523},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5899904370307922},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5407817959785461},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5185037851333618},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4797843098640442},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4283807575702667},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.20428285002708435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14257055521011353}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7771382331848145},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.6539243459701538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6391392946243286},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6257278323173523},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5899904370307922},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5407817959785461},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5185037851333618},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4797843098640442},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4283807575702667},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.20428285002708435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14257055521011353},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3306214.3338557","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3306214.3338557","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGGRAPH 2019 Posters","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":4,"referenced_works":["https://openalex.org/W2511730936","https://openalex.org/W2566365295","https://openalex.org/W2802005597","https://openalex.org/W2949124466"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2356841320","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4399188509"],"abstract_inverted_index":{"Recently,":[0],"material":[1,19,52,85,92],"type":[2,20,53,93],"recognition":[3,21,54,94],"using":[4,40],"color":[5,58],"or":[6],"light":[7],"field":[8],"camera":[9],"has":[10],"been":[11],"studied.":[12],"However,":[13],"visual":[14,73],"pattern":[15],"based":[16,55],"approaches":[17],"for":[18,84],"without":[22],"direct":[23],"acquisition":[24],"of":[25,68],"surface":[26,37,51,89],"reflectance":[27,38,60,80,90],"show":[28,102],"limited":[29],"performance.":[30],"In":[31],"this":[32],"work,":[33],"we":[34],"propose":[35],"IR":[36,88],"estimation":[39],"off-the-shelf":[41],"ToF":[42],"(Time-of-Flight)":[43],"active":[44],"sensor":[45],"such":[46],"as":[47],"Kinect":[48],"and":[49,59,75,91],"perform":[50],"on":[56,96],"both":[57],"clues.":[61],"Two":[62],"stream":[63],"deep":[64],"neural":[65,70,77],"network":[66,71,78],"consists":[67],"convolutional":[69],"encoding":[72,79],"clue":[74],"recurrent":[76],"characteristic":[81],"is":[82],"proposed":[83],"classification.":[86],"Estimated":[87],"evaluation":[95],"our":[97],"Color-IR":[98],"Material":[99],"Data":[100],"set":[101],"promising":[103],"performance":[104],"compared":[105],"to":[106],"prior":[107],"approaches.":[108]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}