{"id":"https://openalex.org/W2108556599","doi":"https://doi.org/10.1109/tdpvt.2002.1024115","title":"Fast landmark-based registration via deterministic and efficient processing, some preliminary results","display_name":"Fast landmark-based registration via deterministic and efficient processing, some preliminary results","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2108556599","doi":"https://doi.org/10.1109/tdpvt.2002.1024115","mag":"2108556599"},"language":"en","primary_location":{"id":"doi:10.1109/tdpvt.2002.1024115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2002.1024115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission","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/A5109041601","display_name":"Fred DePiero","orcid":null},"institutions":[{"id":"https://openalex.org/I149919469","display_name":"California Polytechnic State University","ror":"https://ror.org/001gpfp45","country_code":"US","type":"education","lineage":["https://openalex.org/I149919469"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"F. DePiero","raw_affiliation_strings":["Cal Poly State University, San Louis Obispo, CA, USA","CalPoly State Univ., San Luis Obispo, CA, USA"],"affiliations":[{"raw_affiliation_string":"Cal Poly State University, San Louis Obispo, CA, USA","institution_ids":["https://openalex.org/I149919469"]},{"raw_affiliation_string":"CalPoly State Univ., San Luis Obispo, CA, USA","institution_ids":["https://openalex.org/I149919469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109041601"],"corresponding_institution_ids":["https://openalex.org/I149919469"],"apc_list":null,"apc_paid":null,"fwci":39.8272,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.993494,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"544","last_page":"548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":1.0,"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":1.0,"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":0.9998000264167786,"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":0.9976000189781189,"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/image-registration","display_name":"Image registration","score":0.7190966606140137},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.7057525515556335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6258676052093506},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5934958457946777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5635911822319031},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.545281708240509},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5333739519119263},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5158275961875916},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4272553026676178},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4236336052417755},{"id":"https://openalex.org/keywords/rotational-invariance","display_name":"Rotational invariance","score":0.4180278778076172},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41575872898101807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4126783013343811},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40803489089012146},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3580743968486786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32410794496536255},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14301088452339172},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07560062408447266}],"concepts":[{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7190966606140137},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.7057525515556335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6258676052093506},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5934958457946777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5635911822319031},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.545281708240509},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5333739519119263},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5158275961875916},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4272553026676178},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4236336052417755},{"id":"https://openalex.org/C33098168","wikidata":"https://www.wikidata.org/wiki/Q108537107","display_name":"Rotational invariance","level":2,"score":0.4180278778076172},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41575872898101807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4126783013343811},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40803489089012146},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3580743968486786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32410794496536255},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14301088452339172},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07560062408447266},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tdpvt.2002.1024115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tdpvt.2002.1024115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.calpoly.edu:eeng_fac-1007","is_oa":false,"landing_page_url":"https://digitalcommons.calpoly.edu/eeng_fac/8","pdf_url":null,"source":{"id":"https://openalex.org/S4377196328","display_name":"DigitalCommons - CalPoly (California State Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98947143","host_organization_name":"California State Polytechnic University","host_organization_lineage":["https://openalex.org/I98947143"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical Engineering","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.330.3363","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.3363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://courseware.ee.calpoly.edu/~fdepiero/fdepiero_publications/papers/depiero_3dpvt.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.970.607","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.970.607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://digitalcommons.calpoly.edu/cgi/viewcontent.cgi?article%3D1007%26context%3Deeng_fac","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W606008011","https://openalex.org/W1489195553","https://openalex.org/W1518323279","https://openalex.org/W1595535584","https://openalex.org/W1970640098","https://openalex.org/W1993267444","https://openalex.org/W2029059958","https://openalex.org/W2049981393","https://openalex.org/W2080810148","https://openalex.org/W2085100338","https://openalex.org/W2085261163","https://openalex.org/W2108926648","https://openalex.org/W2114252863","https://openalex.org/W2121884935","https://openalex.org/W2129412583","https://openalex.org/W2136614571","https://openalex.org/W2144594079","https://openalex.org/W2152132697","https://openalex.org/W2153166242","https://openalex.org/W2170120409","https://openalex.org/W2611684114","https://openalex.org/W6631043175","https://openalex.org/W6679253292","https://openalex.org/W6682481259"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W1993438337","https://openalex.org/W1977899511","https://openalex.org/W1871605645","https://openalex.org/W186912772","https://openalex.org/W2136393609","https://openalex.org/W2131641868"],"abstract_inverted_index":{"Preliminary":[0],"results":[1,55],"of":[2,76,85,131],"a":[3,19,63,83,114],"method":[4,12],"for":[5,42,82],"range":[6],"view":[7],"registration":[8],"are":[9,27],"presented.":[10],"The":[11,118],"incorporates":[13],"the":[14,38,125],"LeRP":[15],"algorithm,":[16],"which":[17],"is":[18,47,70,124],"deterministic":[20,136],"means":[21],"to":[22,51,93,106,121],"approximate":[23],"subgraph":[24],"isomorphisms.":[25],"Graphs":[26],"formed":[28],"that":[29,62],"describe":[30],"salient":[31],"scene":[32],"features.":[33],"Graph":[34],"matching":[35],"then":[36],"provides":[37],"scene-to-scene":[39],"correspondence":[40],"necessary":[41],"registration.":[43],"A":[44,72],"graphical":[45],"representation":[46],"invariant":[48,129],"with":[49,99],"respect":[50],"sensor":[52],"standoff.":[53],"Test":[54],"from":[56,103],"real":[57],"and":[58,68,128],"synthetic":[59],"images":[60],"indicate":[61],"reasonable":[64],"tradeoff":[65],"between":[66],"speed":[67],"accuracy":[69],"achievable.":[71],"mean":[73],"rotational":[74],"error":[75],"/spl":[77],"sim/1":[78],"degree":[79],"was":[80],"found":[81,92],"variety":[84],"test":[86],"cases.":[87],"Mean":[88],"compute":[89],"times":[90],"were":[91,111],"be":[94],"better":[95],"than":[96],"2":[97],"Hz,":[98],"image":[100,132],"sizes":[101],"varying":[102],"128/spl":[104],"times/200":[105],"240/spl":[107],"times/320.":[108],"These":[109],"tests":[110],"run":[112],"on":[113],"900":[115],"MHz":[116],"PC":[117],"greatest":[119],"challenge":[120],"this":[122],"approach":[123],"stable":[126],"localization":[127],"characterization":[130],"features":[133],"via":[134],"fast,":[135],"techniques.":[137]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
