{"id":"https://openalex.org/W2061288596","doi":"https://doi.org/10.1109/isie.2013.6563782","title":"Real-time 3-D feature detection and correspondence refinement for indoor environment-mapping using RGB-D cameras","display_name":"Real-time 3-D feature detection and correspondence refinement for indoor environment-mapping using RGB-D cameras","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2061288596","doi":"https://doi.org/10.1109/isie.2013.6563782","mag":"2061288596"},"language":"en","primary_location":{"id":"doi:10.1109/isie.2013.6563782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2013.6563782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Industrial Electronics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008794345","display_name":"Liang-Chia Chen","orcid":"https://orcid.org/0000-0001-9613-9936"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Liang-Chia Chen","raw_affiliation_strings":["Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102190752","display_name":"Nguyen Van Thai","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Nguyen Van Thai","raw_affiliation_strings":["Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan","Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan#TAB#","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086104885","display_name":"Hsien-I Lin","orcid":"https://orcid.org/0000-0002-6195-3353"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsien-I Lin","raw_affiliation_strings":["Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan","Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan#TAB#","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13477366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"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":0.7339757680892944},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7332916259765625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.679330587387085},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6607286334037781},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5182361602783203},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49410203099250793},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4607336223125458},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.439494788646698},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.42241692543029785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26863348484039307}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7339757680892944},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7332916259765625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.679330587387085},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6607286334037781},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5182361602783203},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49410203099250793},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4607336223125458},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.439494788646698},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.42241692543029785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26863348484039307},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isie.2013.6563782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2013.6563782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Industrial Electronics","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":22,"referenced_works":["https://openalex.org/W1485128641","https://openalex.org/W1983080451","https://openalex.org/W2027686841","https://openalex.org/W2066012540","https://openalex.org/W2069295011","https://openalex.org/W2098764590","https://openalex.org/W2099046646","https://openalex.org/W2111308925","https://openalex.org/W2117002552","https://openalex.org/W2119605622","https://openalex.org/W2139909655","https://openalex.org/W2141907278","https://openalex.org/W2151103935","https://openalex.org/W2157954685","https://openalex.org/W2160821342","https://openalex.org/W2166335841","https://openalex.org/W2176551120","https://openalex.org/W2206364955","https://openalex.org/W2509493982","https://openalex.org/W4285719527","https://openalex.org/W6688005127","https://openalex.org/W6724925041"],"related_works":["https://openalex.org/W55883722","https://openalex.org/W2394379345","https://openalex.org/W2079726820","https://openalex.org/W3215763795","https://openalex.org/W4288816678","https://openalex.org/W1988570269","https://openalex.org/W2002924703","https://openalex.org/W2946668990","https://openalex.org/W2380616566","https://openalex.org/W2118352149"],"abstract_inverted_index":{"The":[0,141],"article":[1],"presents":[2],"an":[3,114],"efficient":[4,13,149],"method":[5,147],"in":[6,19,40,82],"detecting":[7],"critical":[8],"3-D":[9,37,83,103,138,163],"feature":[10],"points":[11],"for":[12,56,118,137,155,161],"and":[14,31,100,111,133,150,159],"accurate":[15,32],"data":[16,33],"registration":[17],"required":[18],"real-time":[20,162],"indoor":[21,157,164],"environment":[22,165],"mapping":[23],"by":[24],"using":[25,113],"RDB-D":[26],"cameras.":[27],"To":[28],"achieve":[29],"fast":[30],"correspondence":[34],"between":[35,60],"different":[36],"scanned":[38,62],"images,":[39],"the":[41,146],"proposed":[42,115],"method,":[43],"RGB":[44],"images":[45],"are":[46,70,86,98,109],"first":[47],"used":[48],"to":[49,90,102,152],"detect":[50],"two-dimensional":[51],"(2-D)":[52],"sparse":[53,68],"color":[54],"features":[55,69],"estimating":[57],"matched":[58,80,104,120,139],"pairs":[59,81,97,108],"successive":[61],"depth":[63,75,84],"images.":[64],"Critically,":[65],"detected":[66,110],"2-D":[67,119],"mapped":[71],"with":[72],"their":[73],"corresponding":[74],"information.":[76],"Consequently,":[77],"sub-sets":[78],"of":[79,96],"space":[85],"established.":[87],"Moreover,":[88],"due":[89],"potential":[91],"sensing":[92],"noises,":[93],"not":[94],"all":[95],"valid":[99],"useful":[101],"pair":[105],"establishment.":[106],"Invalid":[107],"eliminated":[112],"angle-based":[116],"filter":[117,126],"pairs,":[121],"as":[122,124],"well":[123],"a":[125],"based":[127],"on":[128],"Euclidean":[129],"distance,":[130],"neighboring":[131],"area":[132],"surface":[134],"curvature":[135],"filters":[136],"pairs.":[140],"experimental":[142],"results":[143],"show":[144],"that":[145],"is":[148],"invariant":[151],"pose,":[153],"robust":[154],"large-scale":[156],"environments,":[158],"feasible":[160],"mapping.":[166]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
