{"id":"https://openalex.org/W1879690934","doi":"https://doi.org/10.1109/robot.1985.1087363","title":"Efficient new techniques for identification and 3D attitude determination of space objects from a single image","display_name":"Efficient new techniques for identification and 3D attitude determination of space objects from a single image","publication_year":2005,"publication_date":"2005-03-23","ids":{"openalex":"https://openalex.org/W1879690934","doi":"https://doi.org/10.1109/robot.1985.1087363","mag":"1879690934"},"language":"en","primary_location":{"id":"doi:10.1109/robot.1985.1087363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.1985.1087363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 1985 IEEE International Conference on Robotics and Automation","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/A5071239059","display_name":"Bassam Bamieh","orcid":"https://orcid.org/0000-0001-9237-4613"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"B. Bamieh","raw_affiliation_strings":["Rice University, Houston, TX, USA","Rice Univ., Houston, TX, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Rice Univ., Houston, TX, USA#TAB#","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108777071","display_name":"R. de Figueiredo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. De Figueiredo","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071239059"],"corresponding_institution_ids":["https://openalex.org/I74775410"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.08908302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"67","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980999827384949,"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":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9968000054359436,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.991100013256073,"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/polyhedron","display_name":"Polyhedron","score":0.6140477657318115},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5841923952102661},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5732669234275818},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5666942596435547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5641275644302368},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5526052713394165},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.514072060585022},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4993863105773926},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.4750887453556061},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4702307879924774},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44242286682128906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4223785400390625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.354127436876297},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27391454577445984},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.24259895086288452},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10243818163871765}],"concepts":[{"id":"https://openalex.org/C54829058","wikidata":"https://www.wikidata.org/wiki/Q172937","display_name":"Polyhedron","level":2,"score":0.6140477657318115},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5841923952102661},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5732669234275818},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5666942596435547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5641275644302368},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5526052713394165},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.514072060585022},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4993863105773926},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4750887453556061},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4702307879924774},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44242286682128906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4223785400390625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.354127436876297},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27391454577445984},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.24259895086288452},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10243818163871765},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robot.1985.1087363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.1985.1087363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 1985 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1480075876","https://openalex.org/W1952453983","https://openalex.org/W1970150866","https://openalex.org/W1982034268","https://openalex.org/W2015975137","https://openalex.org/W2021930057","https://openalex.org/W2025934818","https://openalex.org/W2084280096","https://openalex.org/W2085055798","https://openalex.org/W2110432750","https://openalex.org/W2135951668","https://openalex.org/W2159498975","https://openalex.org/W2168938315","https://openalex.org/W6671726949"],"related_works":["https://openalex.org/W2971340537","https://openalex.org/W1584292662","https://openalex.org/W2046210743","https://openalex.org/W2030136392","https://openalex.org/W1857475410","https://openalex.org/W1511346678","https://openalex.org/W2797788337","https://openalex.org/W2180445142","https://openalex.org/W2951184467","https://openalex.org/W9822165"],"abstract_inverted_index":{"We":[0,56,76,138],"present":[1,139],"new":[2],"algorithms":[3],"for":[4,142],"rapid":[5],"identification":[6],"and":[7,68,93,134],"three-dimensional":[8],"(3D)":[9],"attitude":[10,149],"determination":[11],"of":[12,62,85,98,112,130,155],"a":[13,17,21,123,153],"solid":[14],"object":[15,30,67,133],"from":[16],"single":[18],"image,":[19],"using":[20],"model":[22,41,70],"matching":[23,125,144,157],"approach.":[24],"Our":[25],"scheme":[26],"allows":[27],"the":[28,40,50,66,69,86,91,96,102,119,128,131,135,143,147,156],"observed":[29,132],"to":[31,42,107],"be":[32],"partially":[33],"occluded.":[34],"The":[35,83],"object,":[36],"as":[37,39,152],"well":[38],"which":[43],"it":[44],"is":[45,150],"matched":[46],"are":[47,71,104],"represented":[48],"by":[49,79],"3D":[51,108],"surface":[52,92],"constituting":[53],"their":[54],"boundaries.":[55],"assume":[57],"that":[58],"these":[59],"surfaces":[60],"consist":[61],"flat":[63],"faces,":[64],"i.e.":[65],"(not":[72],"necessarily":[73],"convex)":[74],"polyhedra.":[75],"represent":[77],"each":[78],"an":[80,140],"attributed":[81],"graph.":[82],"nodes":[84,103],"graph":[87],"denote":[88],"faces":[89],"on":[90,101],"edges":[94],"indicate":[95],"adjacency":[97],"faces.":[99],"Attributes":[100],"features":[105],"invariant":[106],"motion":[109],"made":[110],"up":[111],"2D":[113],"moment":[114],"invariants.":[115],"With":[116],"this":[117],"representation":[118],"recognition":[120],"problem":[121,126],"becomes":[122],"subgraph":[124],"between":[127],"image":[129],"stored":[136],"models.":[137],"algorithm":[141],"process,":[145],"furthermore":[146],"exact":[148],"obtained":[151],"byproduct":[154],"procedure.":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}