{"id":"https://openalex.org/W2010978581","doi":"https://doi.org/10.1109/icip.2010.5653530","title":"Tangent space discriminant analysis for feature extraction","display_name":"Tangent space discriminant analysis for feature extraction","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2010978581","doi":"https://doi.org/10.1109/icip.2010.5653530","mag":"2010978581"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5653530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5653530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","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/A5113096621","display_name":"Zhihui Lai","orcid":"https://orcid.org/0000-0003-2292-969X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Zhihui Lai","raw_affiliation_strings":["Institute of Textile and Clothing, Hong Kong Polytechnic University, Hong Kong, China","School of Computer Science & Technology, Nanjing University of Science and Technology of PLA, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Textile and Clothing, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"School of Computer Science & Technology, Nanjing University of Science and Technology of PLA, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100715019","display_name":"Zhong Jin","orcid":"https://orcid.org/0000-0002-4293-0869"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Jin","raw_affiliation_strings":["School of Computer Science & Technology, Nanjing University of Science and Technology of PLA, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Nanjing University of Science and Technology of PLA, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026796400","display_name":"Wai Keung Wong","orcid":"https://orcid.org/0000-0002-5214-7114"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"W. K. Wong","raw_affiliation_strings":["Institute of Textile and Clothing, Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Textile and Clothing, Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"41","issue":null,"first_page":"3793","last_page":"3796"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9950000047683716,"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/T11448","display_name":"Face recognition and analysis","score":0.9921000003814697,"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/tangent-space","display_name":"Tangent space","score":0.7663214206695557},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7169142961502075},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6479857563972473},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.6341911554336548},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.62943434715271},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.625961184501648},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6237717866897583},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.5691140294075012},{"id":"https://openalex.org/keywords/tangent","display_name":"Tangent","score":0.5546285510063171},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5478872060775757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5443323850631714},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5335548520088196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49633628129959106},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.445426344871521},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42803072929382324},{"id":"https://openalex.org/keywords/tangent-vector","display_name":"Tangent vector","score":0.4275185465812683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4254024028778076},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.301544189453125},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07006099820137024}],"concepts":[{"id":"https://openalex.org/C157157409","wikidata":"https://www.wikidata.org/wiki/Q909601","display_name":"Tangent space","level":2,"score":0.7663214206695557},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7169142961502075},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6479857563972473},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.6341911554336548},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.62943434715271},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.625961184501648},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6237717866897583},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.5691140294075012},{"id":"https://openalex.org/C138187205","wikidata":"https://www.wikidata.org/wiki/Q131251","display_name":"Tangent","level":2,"score":0.5546285510063171},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5478872060775757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5443323850631714},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5335548520088196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49633628129959106},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.445426344871521},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42803072929382324},{"id":"https://openalex.org/C47890412","wikidata":"https://www.wikidata.org/wiki/Q1179296","display_name":"Tangent vector","level":3,"score":0.4275185465812683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4254024028778076},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.301544189453125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07006099820137024},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5653530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5653530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1972608972","https://openalex.org/W2001141328","https://openalex.org/W2016293853","https://openalex.org/W2041785029","https://openalex.org/W2053186076","https://openalex.org/W2063956496","https://openalex.org/W2077776048","https://openalex.org/W2103250033","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2138451337","https://openalex.org/W2156718197","https://openalex.org/W3148981562","https://openalex.org/W6675955514","https://openalex.org/W6682755970"],"related_works":["https://openalex.org/W2361271799","https://openalex.org/W2391887161","https://openalex.org/W2577818139","https://openalex.org/W2041785029","https://openalex.org/W2098859420","https://openalex.org/W2096561270","https://openalex.org/W2381565014","https://openalex.org/W2390580168","https://openalex.org/W2353074735","https://openalex.org/W2358302317"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,99],"novel":[4],"method":[5],"called":[6],"tangent":[7,38,86],"space":[8,39,87],"discriminant":[9],"analysis":[10],"is":[11,65],"proposed":[12,23],"for":[13],"dimensionality":[14],"reduction":[15],"and":[16,46,74],"feature":[17,31],"extraction.":[18],"Differing":[19],"from":[20],"the":[21,36,42,52,69,77,101],"recently":[22],"manifold":[24],"learning":[25],"methods":[26],"completely":[27,34],"operating":[28],"on":[29,59],"raw":[30],"space,":[32],"TSDA":[33,64,93],"uses":[35],"local":[37,43,47,78,85],"to":[40,67],"represent":[41],"within-class":[44],"geometry":[45],"between-class":[48],"geometry.":[49],"Assume":[50],"that":[51,92],"face":[53],"images":[54],"of":[55,71,80],"different":[56,60,81],"people":[57],"reside":[58],"intrinsically":[61],"low-dimensional":[62],"sub-manifolds,":[63],"developed":[66],"preserve":[68],"locality":[70],"each":[72],"sub-manifold":[73],"simultaneously":[75],"maximize":[76],"separability":[79],"sub-manifolds":[82],"by":[83],"using":[84],"alignment.":[88],"Experimental":[89],"results":[90],"show":[91],"achieves":[94],"higher":[95],"recognition":[96],"rates":[97],"than":[98],"few":[100],"state-of-the-art":[102],"techniques.":[103]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}