{"id":"https://openalex.org/W2920817064","doi":"https://doi.org/10.1145/3301326.3301385","title":"Robust Regression for Image Alignment via Subspace Recovery Techniques","display_name":"Robust Regression for Image Alignment via Subspace Recovery Techniques","publication_year":2018,"publication_date":"2018-12-14","ids":{"openalex":"https://openalex.org/W2920817064","doi":"https://doi.org/10.1145/3301326.3301385","mag":"2920817064"},"language":"en","primary_location":{"id":"doi:10.1145/3301326.3301385","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301326.3301385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 VII International Conference on Network, Communication and Computing","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/A5027563113","display_name":"Habte Tadesse Likassa","orcid":"https://orcid.org/0000-0002-2149-0956"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Habte Tadesse Likassa","raw_affiliation_strings":["Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taiwan, R.O.C","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111446401","display_name":"Wen\u2010Hsien Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Hsien Fang","raw_affiliation_strings":["Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taiwan, R.O.C","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027563113"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":1.0134,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74851453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"288","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11105","display_name":"Advanced Image Processing Techniques","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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9961000084877014,"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/affine-transformation","display_name":"Affine transformation","score":0.7901910543441772},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.710693359375},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"Augmented Lagrangian method","score":0.696845293045044},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6163557767868042},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5443583726882935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5209866166114807},{"id":"https://openalex.org/keywords/transformation-matrix","display_name":"Transformation matrix","score":0.4873248040676117},{"id":"https://openalex.org/keywords/affine-space","display_name":"Affine space","score":0.48707297444343567},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.48275226354599},{"id":"https://openalex.org/keywords/unitary-transformation","display_name":"Unitary transformation","score":0.4771308898925781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46561336517333984},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4497976005077362},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.42441830039024353},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4220249056816101},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4102587103843689},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40706130862236023},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3986412286758423},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.1396215558052063}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.7901910543441772},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.710693359375},{"id":"https://openalex.org/C150452318","wikidata":"https://www.wikidata.org/wiki/Q4820432","display_name":"Augmented Lagrangian method","level":2,"score":0.696845293045044},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6163557767868042},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5443583726882935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5209866166114807},{"id":"https://openalex.org/C165443888","wikidata":"https://www.wikidata.org/wiki/Q1482183","display_name":"Transformation matrix","level":3,"score":0.4873248040676117},{"id":"https://openalex.org/C173110770","wikidata":"https://www.wikidata.org/wiki/Q382698","display_name":"Affine space","level":3,"score":0.48707297444343567},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.48275226354599},{"id":"https://openalex.org/C179371143","wikidata":"https://www.wikidata.org/wiki/Q2495534","display_name":"Unitary transformation","level":3,"score":0.4771308898925781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46561336517333984},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4497976005077362},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.42441830039024353},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4220249056816101},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4102587103843689},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40706130862236023},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3986412286758423},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.1396215558052063},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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:10.1145/3301326.3301385","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3301326.3301385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 VII International Conference on Network, Communication and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1482071412","https://openalex.org/W1600550542","https://openalex.org/W1974042113","https://openalex.org/W1996232089","https://openalex.org/W2004427069","https://openalex.org/W2047291883","https://openalex.org/W2100549954","https://openalex.org/W2117121484","https://openalex.org/W2123921160","https://openalex.org/W2145342134","https://openalex.org/W2145962650","https://openalex.org/W2293298207","https://openalex.org/W2745660053","https://openalex.org/W2912990735","https://openalex.org/W2951085447","https://openalex.org/W6651429715","https://openalex.org/W6681493385","https://openalex.org/W6750968397"],"related_works":["https://openalex.org/W2015060724","https://openalex.org/W2919324478","https://openalex.org/W146488304","https://openalex.org/W2130120519","https://openalex.org/W2058578573","https://openalex.org/W2012871340","https://openalex.org/W2064245177","https://openalex.org/W3159039452","https://openalex.org/W2517348296","https://openalex.org/W1966424681"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,26,40,61],"novel":[3],"method":[4,56],"for":[5],"joint":[6],"head":[7],"pose":[8],"estimation":[9],"and":[10,37,48,51,75,106],"face":[11],"alignment":[12],"via":[13],"subspace":[14],"recovery":[15],"techniques":[16],"by":[17,69],"incorporating":[18],"an":[19,71],"affine":[20,30],"transformation.":[21],"The":[22,88],"new":[23],"algorithm":[24],"seeks":[25],"set":[27],"of":[28,42,79,97,108],"optimal":[29],"transformations":[31],"to":[32,93],"fix":[33],"the":[34,77,85,95,98,104,109,115],"geometric":[35],"distortions":[36],"deal":[38],"with":[39,114],"variety":[41],"adverse":[43],"effects":[44],"such":[45],"as":[46,60,112],"illumination":[47],"occlusions,":[49],"outliers":[50],"heavy":[52],"sparse":[53],"noises.":[54],"Our":[55],"is":[57,91],"also":[58],"formulated":[59],"convex":[62],"optimization":[63],"problem":[64],"which":[65],"can":[66],"be":[67],"solved":[68],"using":[70],"augmented":[72],"Lagrangian":[73],"multiplier":[74],"takes":[76],"advantages":[78],"Jacobean":[80],"transformation":[81],"matrix":[82],"in":[83],"transforming":[84],"corrupted":[86],"images.":[87],"convergence":[89],"analysis":[90],"shown":[92],"prove":[94],"effectiveness":[96,107],"proposed":[99,110],"approach.":[100],"Conducted":[101],"simulations":[102],"justify":[103],"superiority":[105],"approach":[111],"compared":[113],"main":[116],"state-of-the-art":[117],"works.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}