{"id":"https://openalex.org/W2567285581","doi":"https://doi.org/10.1109/icip.2016.7532911","title":"Patch-based alignment-free generic sparse representation for pose-robust face recognition","display_name":"Patch-based alignment-free generic sparse representation for pose-robust face recognition","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2567285581","doi":"https://doi.org/10.1109/icip.2016.7532911","mag":"2567285581"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5110387667","display_name":"Jianquan Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129003","display_name":"SYSU-CMU International Joint Research Institute","ror":"https://ror.org/02w30ae27","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129003"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianquan Gu","raw_affiliation_strings":["SYSU-CMU Shunde International Joint Research Institute, Shunde, China","School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"SYSU-CMU Shunde International Joint Research Institute, Shunde, China","institution_ids":["https://openalex.org/I4210129003","https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056953478","display_name":"Haifeng Hu","orcid":"https://orcid.org/0000-0002-4884-323X"},"institutions":[{"id":"https://openalex.org/I4210129003","display_name":"SYSU-CMU International Joint Research Institute","ror":"https://ror.org/02w30ae27","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129003"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Hu","raw_affiliation_strings":["SYSU-CMU Shunde International Joint Research Institute, Shunde, China","School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"SYSU-CMU Shunde International Joint Research Institute, Shunde, China","institution_ids":["https://openalex.org/I4210129003","https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102252821","display_name":"Haoxi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129003","display_name":"SYSU-CMU International Joint Research Institute","ror":"https://ror.org/02w30ae27","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129003"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxi Li","raw_affiliation_strings":["SYSU-CMU Shunde International Joint Research Institute, Shunde, China","School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"SYSU-CMU Shunde International Joint Research Institute, Shunde, China","institution_ids":["https://openalex.org/I4210129003","https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101831163","display_name":"Weipeng Hu","orcid":"https://orcid.org/0000-0003-2886-7346"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210129003","display_name":"SYSU-CMU International Joint Research Institute","ror":"https://ror.org/02w30ae27","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210129003"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weipeng Hu","raw_affiliation_strings":["SYSU-CMU Shunde International Joint Research Institute, Shunde, China","School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"SYSU-CMU Shunde International Joint Research Institute, Shunde, China","institution_ids":["https://openalex.org/I4210129003","https://openalex.org/I157773358"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110387667"],"corresponding_institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210129003"],"apc_list":null,"apc_paid":null,"fwci":0.167,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59650595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"24","issue":null,"first_page":"3006","last_page":"3010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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/T10828","display_name":"Biometric Identification and Security","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7982569932937622},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.781746506690979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7789236307144165},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.717016875743866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7084020972251892},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6829837560653687},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5057525634765625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47310304641723633},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.4283805191516876},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.4230932295322418},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.2680594027042389}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7982569932937622},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.781746506690979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7789236307144165},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.717016875743866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7084020972251892},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6829837560653687},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5057525634765625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47310304641723633},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4283805191516876},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.4230932295322418},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.2680594027042389},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532911","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532911","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1461711402","https://openalex.org/W2006396739","https://openalex.org/W2027610308","https://openalex.org/W2048005662","https://openalex.org/W2057755039","https://openalex.org/W2082045173","https://openalex.org/W2082149009","https://openalex.org/W2092131162","https://openalex.org/W2100240926","https://openalex.org/W2108767394","https://openalex.org/W2129846893","https://openalex.org/W2132467081","https://openalex.org/W2138451337","https://openalex.org/W2151103935","https://openalex.org/W2162458225","https://openalex.org/W2272013280","https://openalex.org/W2912990735","https://openalex.org/W6628378110","https://openalex.org/W6693757522"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W4387163326","https://openalex.org/W2040482211","https://openalex.org/W3108145925","https://openalex.org/W325114128","https://openalex.org/W2185537520","https://openalex.org/W1517271056","https://openalex.org/W2058325696","https://openalex.org/W2769045829"],"abstract_inverted_index":{"Sparse":[0,48],"representation":[1],"based":[2,106],"classification":[3,103],"method":[4],"has":[5],"been":[6],"successfully":[7],"applied":[8],"to":[9,51,90,123],"face":[10,28,59,84],"recognition":[11,29,60],"in":[12,21,27,58,79,126],"recent":[13],"years.":[14],"However,":[15],"it":[16],"is":[17,85,88,105,121],"still":[18],"a":[19,40],"problem":[20,54],"the":[22,53,97,114],"scenario":[23],"of":[24,55,99],"pose":[25,56,124],"variation":[26,57,125],"with":[30,61,128],"single":[31,62,129],"sample":[32,63,130],"per":[33,64,131],"person.":[34,132],"In":[35,70],"this":[36],"paper,":[37],"we":[38,73],"propose":[39],"novel":[41],"alignment-free":[42],"model,":[43],"called":[44],"Gabor-based":[45,92],"Partial":[46],"Face":[47],"Representation":[49],"(GPFSR),":[50],"solve":[52],"person":[65],"by":[66],"using":[67],"partial":[68,83],"face.":[69],"our":[71],"method,":[72],"firstly":[74],"locate":[75],"five":[76],"facial":[77],"landmarks":[78],"different":[80],"images.":[81],"Then":[82],"obtained,":[86],"which":[87],"used":[89],"construct":[91],"local":[93],"dictionary":[94],"and":[95,116],"compute":[96],"weights":[98],"each":[100],"patch.":[101],"Our":[102],"principle":[104],"on":[107,113],"sparse":[108],"representation.":[109],"The":[110],"experimental":[111],"results":[112],"Multi-PIE":[115],"FERET":[117],"show":[118],"that":[119],"GPFSR":[120],"robust":[122],"FR":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
