{"id":"https://openalex.org/W2143911078","doi":"https://doi.org/10.1109/icip.2009.5414078","title":"SUSAN 3D operator, principal saliency degrees and directions extraction and a brief study on the robustness to noise","display_name":"SUSAN 3D operator, principal saliency degrees and directions extraction and a brief study on the robustness to noise","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2143911078","doi":"https://doi.org/10.1109/icip.2009.5414078","mag":"2143911078"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5414078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th 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/A5017302711","display_name":"Nicolas Walter","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136953","display_name":"Laboratoire d\u2019\u00c9lectronique, Informatique et Image","ror":"https://ror.org/04gnd7c94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I4210118524","https://openalex.org/I4210134562","https://openalex.org/I4210136953","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Walter","raw_affiliation_strings":["Laboratoire Le2i, UMR 5158, Le Creusot, France","Laboratoire Le2i, UMR 5158, 12, rue de la fonderie, Le Creusot, FRANCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Le2i, UMR 5158, Le Creusot, France","institution_ids":["https://openalex.org/I4210136953"]},{"raw_affiliation_string":"Laboratoire Le2i, UMR 5158, 12, rue de la fonderie, Le Creusot, FRANCE","institution_ids":["https://openalex.org/I4210136953"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113677777","display_name":"Olivier Aubreton","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136953","display_name":"Laboratoire d\u2019\u00c9lectronique, Informatique et Image","ror":"https://ror.org/04gnd7c94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I4210118524","https://openalex.org/I4210134562","https://openalex.org/I4210136953","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Aubreton","raw_affiliation_strings":["Laboratoire Le2i, UMR 5158, Le Creusot, France","Laboratoire Le2i, UMR 5158, 12, rue de la fonderie, Le Creusot, FRANCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Le2i, UMR 5158, Le Creusot, France","institution_ids":["https://openalex.org/I4210136953"]},{"raw_affiliation_string":"Laboratoire Le2i, UMR 5158, 12, rue de la fonderie, Le Creusot, FRANCE","institution_ids":["https://openalex.org/I4210136953"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003012515","display_name":"Yohan Fougerolle","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136953","display_name":"Laboratoire d\u2019\u00c9lectronique, Informatique et Image","ror":"https://ror.org/04gnd7c94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I4210118524","https://openalex.org/I4210134562","https://openalex.org/I4210136953","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yohan D. Fougerolle","raw_affiliation_strings":["Laboratoire Le2i, UMR 5158, Le Creusot, France","Laboratoire Le2i, UMR 5158, 12, rue de la fonderie, Le Creusot, FRANCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Le2i, UMR 5158, Le Creusot, France","institution_ids":["https://openalex.org/I4210136953"]},{"raw_affiliation_string":"Laboratoire Le2i, UMR 5158, 12, rue de la fonderie, Le Creusot, FRANCE","institution_ids":["https://openalex.org/I4210136953"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028775006","display_name":"Olivier Laligant","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136953","display_name":"Laboratoire d\u2019\u00c9lectronique, Informatique et Image","ror":"https://ror.org/04gnd7c94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I190752583","https://openalex.org/I190861549","https://openalex.org/I4210118524","https://openalex.org/I4210134562","https://openalex.org/I4210136953","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Laligant","raw_affiliation_strings":["Laboratoire Le2i, UMR 5158, Le Creusot, France","Laboratoire Le2i, UMR 5158, 12, rue de la fonderie, Le Creusot, FRANCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Le2i, UMR 5158, Le Creusot, France","institution_ids":["https://openalex.org/I4210136953"]},{"raw_affiliation_string":"Laboratoire Le2i, UMR 5158, 12, rue de la fonderie, Le Creusot, FRANCE","institution_ids":["https://openalex.org/I4210136953"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136953"],"apc_list":null,"apc_paid":null,"fwci":18.1261,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.98757519,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"3529","last_page":"3532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"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":0.9995999932289124,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9980000257492065,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9972000122070312,"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/robustness","display_name":"Robustness (evolution)","score":0.8885009288787842},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.7148292660713196},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6505758762359619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5623471140861511},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5609613656997681},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.5475510358810425},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4688138961791992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44604718685150146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3836286962032318},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3712995946407318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33674460649490356},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.06524676084518433}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8885009288787842},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.7148292660713196},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6505758762359619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5623471140861511},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5609613656997681},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.5475510358810425},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4688138961791992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44604718685150146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3836286962032318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3712995946407318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33674460649490356},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.06524676084518433},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2009.5414078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414078","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.717.1179","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.717.1179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://le2i.cnrs.fr/IMG/publications/2507_N.Walter%20ICIP09.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1626653188","https://openalex.org/W2031240383","https://openalex.org/W2099046646","https://openalex.org/W2151466858","https://openalex.org/W2165657894","https://openalex.org/W2165904679","https://openalex.org/W2169231734","https://openalex.org/W6636538218","https://openalex.org/W6684381369"],"related_works":["https://openalex.org/W1557607869","https://openalex.org/W2366350639","https://openalex.org/W2087496541","https://openalex.org/W2028455732","https://openalex.org/W4313703117","https://openalex.org/W2085564391","https://openalex.org/W1984758362","https://openalex.org/W2042049060","https://openalex.org/W2992936613","https://openalex.org/W2108615321"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,27,59,79],"complete":[3,29,74],"the":[4,7,24,50,60,63,75,77,84,87,93,97],"work":[5],"on":[6],"3D":[8],"SUSAN":[9,88],"operator,":[10,51],"an":[11],"extraction":[12],"of":[13,31,65,96],"principal":[14],"saliency":[15],"degrees":[16],"and":[17,45,62,86,99],"direction":[18],"is":[19,67,81],"proposed.":[20],"This":[21],"will":[22],"lead":[23],"proposed":[25],"operator":[26],"a":[28],"classification":[30],"vertices":[32],"in":[33],"five":[34],"different":[35,55,71],"classes:":[36],"cavity":[37],"points,":[38,40,42],"valley":[39],"flat":[41],"prong":[43],"points":[44],"salient":[46],"points.":[47],"To":[48,73],"assess":[49],"we":[52],"propose":[53],"two":[54],"studies.":[56],"The":[57],"robustness":[58,78],"resolution":[61],"regularity":[64],"meshes":[66],"presented":[68],"for":[69,83],"three":[70],"operators.":[72],"evaluation,":[76],"noise":[80],"analysed,":[82],"Stokely":[85],"operator.":[89],"Our":[90],"conclusion":[91],"presents":[92],"benefits,":[94],"drawbacks":[95],"technique":[98],"future":[100],"works.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
