{"id":"https://openalex.org/W2102684865","doi":"https://doi.org/10.1109/icpr.2002.1047412","title":"Classification of 3D macro texture using perceptual observables","display_name":"Classification of 3D macro texture using perceptual observables","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2102684865","doi":"https://doi.org/10.1109/icpr.2002.1047412","mag":"2102684865"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1047412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5033278948","display_name":"Anthony Hoogs","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"A. Hoogs","raw_affiliation_strings":["GE Corporate Research and Development Center, NY, USA","Corp. R&D, Gen. Electr. Co., Schenectady, NY, USA"],"affiliations":[{"raw_affiliation_string":"GE Corporate Research and Development Center, NY, USA","institution_ids":[]},{"raw_affiliation_string":"Corp. R&D, Gen. Electr. Co., Schenectady, NY, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108194219","display_name":"Roddy Collins","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Collins","raw_affiliation_strings":["GE Corporate Research and Development Center, NY, USA","Corp. R&D, Gen. Electr. Co., Schenectady, NY, USA"],"affiliations":[{"raw_affiliation_string":"GE Corporate Research and Development Center, NY, USA","institution_ids":[]},{"raw_affiliation_string":"Corp. R&D, Gen. Electr. Co., Schenectady, NY, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066830471","display_name":"Robert Kaucic","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Kaucic","raw_affiliation_strings":["GE Corporate Research and Development Center, NY, USA","Corp. R&D, Gen. Electr. Co., Schenectady, NY, USA"],"affiliations":[{"raw_affiliation_string":"GE Corporate Research and Development Center, NY, USA","institution_ids":[]},{"raw_affiliation_string":"Corp. R&D, Gen. Electr. Co., Schenectady, NY, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033278948"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2669,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58016021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"113","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9988999962806702,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9988999962806702,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9966999888420105,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.7331498861312866},{"id":"https://openalex.org/keywords/gestalt-psychology","display_name":"Gestalt psychology","score":0.6992223262786865},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.6754055023193359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6694486141204834},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6615180969238281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6402095556259155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5679007768630981},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5117966532707214},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.49336114525794983},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.48427313566207886},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48180049657821655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3408570885658264},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23798230290412903},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2279166281223297},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11916288733482361},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06520071625709534}],"concepts":[{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.7331498861312866},{"id":"https://openalex.org/C27362006","wikidata":"https://www.wikidata.org/wiki/Q272021","display_name":"Gestalt psychology","level":3,"score":0.6992223262786865},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.6754055023193359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6694486141204834},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6615180969238281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6402095556259155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5679007768630981},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5117966532707214},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.49336114525794983},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.48427313566207886},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48180049657821655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3408570885658264},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23798230290412903},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2279166281223297},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11916288733482361},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06520071625709534},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1047412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2023417042","https://openalex.org/W2080759033","https://openalex.org/W2098800028","https://openalex.org/W2106110775","https://openalex.org/W2108299137","https://openalex.org/W2121947440","https://openalex.org/W2131992491","https://openalex.org/W2132137745","https://openalex.org/W2135719501","https://openalex.org/W2148861411","https://openalex.org/W2154941050","https://openalex.org/W2163869712"],"related_works":["https://openalex.org/W1593175091","https://openalex.org/W4313354065","https://openalex.org/W3039810647","https://openalex.org/W4327521413","https://openalex.org/W2752358874","https://openalex.org/W2044270176","https://openalex.org/W2374828682","https://openalex.org/W2125664809","https://openalex.org/W2388733570","https://openalex.org/W1980033651"],"abstract_inverted_index":{"A":[0],"new":[1,62],"method":[2,90],"for":[3,64,100],"analyzing":[4],"macro":[5,53,65],"texture":[6,54,66],"using":[7],"perceptual":[8,42,56,94],"observables":[9],"is":[10,38,69],"presented.":[11],"The":[12,84],"typical":[13],"geometric":[14],"Gestalt":[15],"grouping":[16],"criteria":[17],"such":[18],"as":[19],"proximity":[20],"and":[21,30,55,73,82,105],"parallelism":[22],"are":[23,96],"extended":[24],"with":[25],"descriptive":[26],"measures":[27,43],"of":[28,48],"topology":[29],"photometry":[31],"enabled":[32],"by":[33],"region":[34],"neighborhood":[35],"analysis.":[36],"It":[37],"proposed":[39],"that":[40,68],"these":[41],"provide":[44],"a":[45,61,89],"common":[46],"description":[47],"image":[49],"content":[50],"encompassing":[51],"both":[52],"grouping.":[57],"This":[58],"theory":[59],"enables":[60],"algorithm":[63],"classification":[67,85],"invariant":[70],"to":[71,91],"rotation,":[72],"robust":[74],"against":[75],"very":[76],"large":[77],"changes":[78],"in":[79],"illumination,":[80],"viewpoint":[81],"scale.":[83],"process":[86],"also":[87],"provides":[88],"determine":[92],"which":[93],"attributes":[95],"the":[97],"most":[98],"relevant":[99],"discriminating":[101],"between":[102],"various":[103],"textures":[104],"objects.":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
