{"id":"https://openalex.org/W2172015505","doi":"https://doi.org/10.1109/icpr.2008.4761389","title":"Directionality measurement and illumination estimation of 3D surface textures by using mojette transform","display_name":"Directionality measurement and illumination estimation of 3D surface textures by using mojette transform","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2172015505","doi":"https://doi.org/10.1109/icpr.2008.4761389","mag":"2172015505"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2008.4761389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761389","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00324244","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100550666","display_name":"Peng Jia","orcid":"https://orcid.org/0009-0003-7851-0609"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Jia","raw_affiliation_strings":["Computer Science Department, Ocean University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["Computer Science Department, Ocean University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069694012","display_name":"Lin Qi","orcid":"https://orcid.org/0000-0001-6479-6325"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Qi","raw_affiliation_strings":["Computer Science Department, Ocean University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050331325","display_name":"Florent Autrusseau","orcid":"https://orcid.org/0000-0002-2690-0029"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I142476485","display_name":"\u00c9cole Polytechnique","ror":"https://ror.org/05hy3tk52","country_code":"FR","type":"education","lineage":["https://openalex.org/I142476485","https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Florent Autrusseau","raw_affiliation_strings":["IRCCyN-IVC, UMR CNRS 6597, Ecole Polytechnique, University of Nantes, Nantes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRCCyN-IVC, UMR CNRS 6597, Ecole Polytechnique, University of Nantes, Nantes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I142476485","https://openalex.org/I97188460"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"3614","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9951000213623047,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9882000088691711,"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":0.7272307276725769},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6487830281257629},{"id":"https://openalex.org/keywords/tilt","display_name":"Tilt (camera)","score":0.6149189472198486},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5782979130744934},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5729712843894958},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5360795259475708},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5130642652511597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4655483663082123},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4636669456958771},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4534563720226288},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4388432204723358},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41585925221443176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39099007844924927},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28266799449920654},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18141907453536987},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1203589141368866}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7272307276725769},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6487830281257629},{"id":"https://openalex.org/C2779844322","wikidata":"https://www.wikidata.org/wiki/Q2919140","display_name":"Tilt (camera)","level":2,"score":0.6149189472198486},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5782979130744934},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5729712843894958},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5360795259475708},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5130642652511597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4655483663082123},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4636669456958771},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4534563720226288},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4388432204723358},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41585925221443176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39099007844924927},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28266799449920654},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18141907453536987},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1203589141368866},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icpr.2008.4761389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2008.4761389","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 19th International Conference on Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.214.5763","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.5763","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://figment.cse.usf.edu/~sfefilat/data/papers/TuAT10.10.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.9277","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.9277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.irccyn.ec-nantes.fr/~autrusse/Papers/ICPR2008.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00324244v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00324244","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"19th International Conference on Pattern Recognition, Dec 2008, Tampa, United States. pp.1144","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00324244v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00324244","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"19th International Conference on Pattern Recognition, Dec 2008, Tampa, United States. pp.1144","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1521534153","https://openalex.org/W1536910241","https://openalex.org/W1764411741","https://openalex.org/W1960371973","https://openalex.org/W2013499226","https://openalex.org/W2023488715","https://openalex.org/W2046509500","https://openalex.org/W2137909049","https://openalex.org/W2164278383","https://openalex.org/W2885000916","https://openalex.org/W4234997322","https://openalex.org/W4244001430","https://openalex.org/W6631151859","https://openalex.org/W6632034471","https://openalex.org/W6637963572"],"related_works":["https://openalex.org/W2083852311","https://openalex.org/W2391384635","https://openalex.org/W2011148146","https://openalex.org/W2070343330","https://openalex.org/W2348773364","https://openalex.org/W3081817074","https://openalex.org/W4231537015","https://openalex.org/W1499137908","https://openalex.org/W2020613036","https://openalex.org/W2137791473"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"new":[4],"approach":[5],"to":[6],"measure":[7],"texture":[8,40],"directions":[9,41],"and":[10,67,76],"estimate":[11,50],"illumination":[12,51],"tilt":[13,52],"angle":[14],"of":[15,29,59,78],"3D":[16],"surface":[17],"textures":[18],"by":[19,54],"using":[20],"mojette":[21,31],"transform.":[22],"Feature":[23],"vectors":[24],"are":[25,42],"generated":[26],"from":[27],"variances":[28],"72":[30],"transform":[32],"projections":[33],"with":[34,44],"different":[35],"projection":[36],"angles.":[37],"The":[38],"measured":[39],"compared":[43],"human":[45],"perceptual":[46],"judgement.":[47],"Furthermore,":[48],"we":[49],"angles":[53],"minimizing":[55],"the":[56,60,64,68,74],"Euclidean":[57],"distance":[58],"feature":[61],"vector":[62],"between":[63],"test":[65],"image":[66],"training":[69],"sets.":[70],"Experimental":[71],"results":[72],"show":[73],"effectiveness":[75],"accuracy":[77],"our":[79],"proposed":[80],"approach.":[81]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}