{"id":"https://openalex.org/W1585415652","doi":"https://doi.org/10.1109/icra.2015.7139445","title":"LOIND: An illumination and scale invariant RGB-D descriptor","display_name":"LOIND: An illumination and scale invariant RGB-D descriptor","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1585415652","doi":"https://doi.org/10.1109/icra.2015.7139445","mag":"1585415652"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2015.7139445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2015.7139445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Automation (ICRA)","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/A5080199310","display_name":"Guanghua Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanghua Feng","raw_affiliation_strings":["Institute of Cyber-Systems and Control, Zhejiang University, Zhejiang, China","[Institute of Cyber-Systems and Control, Zhejiang University, 310027, China]"],"affiliations":[{"raw_affiliation_string":"Institute of Cyber-Systems and Control, Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"[Institute of Cyber-Systems and Control, Zhejiang University, 310027, China]","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724297","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-4822-8939"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["State Key Lab of Industrial Control Technology and Institute of Cyber-Systems and Control, Zhejiang University, Zhejiang, China","State Key Lab of Industrial Control Technology and Institute of Cyber-Systems and Control, Zhejiang University, 310027, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab of Industrial Control Technology and Institute of Cyber-Systems and Control, Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"State Key Lab of Industrial Control Technology and Institute of Cyber-Systems and Control, Zhejiang University, 310027, China","institution_ids":["https://openalex.org/I76130692","https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018811297","display_name":"Yiyi Liao","orcid":"https://orcid.org/0000-0001-6662-3022"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyi Liao","raw_affiliation_strings":["Institute of Cyber-Systems and Control, Zhejiang University, Zhejiang, China","[Institute of Cyber-Systems and Control, Zhejiang University, 310027, China]"],"affiliations":[{"raw_affiliation_string":"Institute of Cyber-Systems and Control, Zhejiang University, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"[Institute of Cyber-Systems and Control, Zhejiang University, 310027, China]","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080199310"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.6569,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88861345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1893","last_page":"1898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9970999956130981,"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":0.7932600975036621},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7083932757377625},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.6861770153045654},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6619290113449097},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6552367210388184},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6436780095100403},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5679125189781189},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5544612407684326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5193644165992737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5113115310668945},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4818088412284851},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4792475700378418},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.4675174057483673},{"id":"https://openalex.org/keywords/geometric-transformation","display_name":"Geometric transformation","score":0.4420608580112457},{"id":"https://openalex.org/keywords/scale-invariance","display_name":"Scale invariance","score":0.43466469645500183},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.25262129306793213},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22823894023895264},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06669846177101135}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7932600975036621},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7083932757377625},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.6861770153045654},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6619290113449097},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6552367210388184},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6436780095100403},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5679125189781189},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5544612407684326},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5193644165992737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5113115310668945},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4818088412284851},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4792475700378418},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.4675174057483673},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.4420608580112457},{"id":"https://openalex.org/C135593079","wikidata":"https://www.wikidata.org/wiki/Q1750766","display_name":"Scale invariance","level":2,"score":0.43466469645500183},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25262129306793213},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22823894023895264},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06669846177101135},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2015.7139445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2015.7139445","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1677409904","https://openalex.org/W1964365496","https://openalex.org/W2002054993","https://openalex.org/W2050690116","https://openalex.org/W2099606917","https://openalex.org/W2103023778","https://openalex.org/W2106766627","https://openalex.org/W2137374159","https://openalex.org/W2139114878","https://openalex.org/W2141584146","https://openalex.org/W2147356371","https://openalex.org/W2151103935","https://openalex.org/W2160643963","https://openalex.org/W2163096995","https://openalex.org/W2177274842","https://openalex.org/W6629564929","https://openalex.org/W6637400245","https://openalex.org/W6676425978","https://openalex.org/W6683253545","https://openalex.org/W6683840128"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2326240252","https://openalex.org/W1590919747","https://openalex.org/W2000237439"],"abstract_inverted_index":{"We":[0,29,116],"introduce":[1],"a":[2,34,119],"novel":[3],"RGB-D":[4],"descriptor":[5,12,32],"called":[6],"local":[7],"ordinal":[8],"intensity":[9],"and":[10,23,42,66,100,113],"normal":[11,45],"(LOIND)":[13],"with":[14,33,49,92,127],"the":[15,31,50,61,69,75,85,93,103,109,124,129,135],"integration":[16],"of":[17,40,63,71,105],"texture":[18],"information":[19,25,56,81],"in":[20,26,47],"RGB":[21],"image":[22],"geometric":[24,130],"depth":[27],"image.":[28],"implement":[30],"3-D":[35],"histogram":[36],"supported":[37],"by":[38],"orders":[39],"intensities":[41],"angles":[43],"between":[44],"vectors,":[46],"addition":[48],"spatial":[51,77],"sub-divisions.":[52],"The":[53],"former":[54],"ordering":[55],"which":[57,132],"is":[58,88],"invariant":[59],"under":[60,138],"transformation":[62],"illumination,":[64],"scale":[65,114],"rotation":[67,136],"provides":[68,79],"robustness":[70],"our":[72,106],"descriptor,":[73],"while":[74],"latter":[76],"distribution":[78],"higher":[80],"capacity":[82],"so":[83],"that":[84],"discriminative":[86],"performance":[87],"promoted.":[89],"Comparable":[90],"experiments":[91],"state-of-art":[94],"descriptors,":[95],"e.g.":[96],"SIFT,":[97],"SURF,":[98],"CSHOT":[99],"BRAND,":[101],"show":[102],"effectiveness":[104],"LOIND":[107],"to":[108,122],"complex":[110],"illumination":[111],"changes":[112],"transformation.":[115],"also":[117],"provide":[118],"new":[120],"method":[121],"estimate":[123],"dominant":[125],"orientation":[126],"only":[128],"information,":[131],"can":[133],"ensure":[134],"invariance":[137],"extremely":[139],"poor":[140],"illumination.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
