{"id":"https://openalex.org/W2141092372","doi":"https://doi.org/10.1109/cvpr.2006.208","title":"Non-rigid Image Registration Using Geometric Features and Local Salient Region Features","display_name":"Non-rigid Image Registration Using Geometric Features and Local Salient Region Features","publication_year":2006,"publication_date":"2006-07-10","ids":{"openalex":"https://openalex.org/W2141092372","doi":"https://doi.org/10.1109/cvpr.2006.208","mag":"2141092372"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2006.208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2006.208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5065513121","display_name":"Jinzhong Yang","orcid":"https://orcid.org/0000-0002-9254-4501"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinzhong Yang","raw_affiliation_strings":["ECE Department, Lehigh University, Bethlehem, PA, USA","Lehigh University, Bethlehem, Pa. 18015, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]},{"raw_affiliation_string":"Lehigh University, Bethlehem, Pa. 18015, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042577942","display_name":"Rick S. Blum","orcid":"https://orcid.org/0000-0002-1024-6771"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]},{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.S. Blum","raw_affiliation_strings":["Imaging and Visualization Department, Siemens Corporate Research, Inc., Princeton, NJ, USA","Lehigh University, Bethlehem, Pa. 18015, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging and Visualization Department, Siemens Corporate Research, Inc., Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Lehigh University, Bethlehem, Pa. 18015, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036472207","display_name":"Jim Williams","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.P. Williams","raw_affiliation_strings":["Imaging and Visualization Department, Siemens Corporate Research, Inc., Princeton, NJ, USA","Siemens Corporate Research, Princeton NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging and Visualization Department, Siemens Corporate Research, Inc., Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporate Research, Princeton NJ","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103983302","display_name":"Yiyong Sun","orcid":"https://orcid.org/0009-0006-4823-0202"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]},{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiyong Sun","raw_affiliation_strings":["ECE Department, Lehigh University, Bethlehem, PA, USA","Siemens Corporate Research, Princeton NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ECE Department, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]},{"raw_affiliation_string":"Siemens Corporate Research, Princeton NJ","institution_ids":["https://openalex.org/I4210137693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102008317","display_name":"Chenyang Xu","orcid":"https://orcid.org/0000-0002-3212-8450"},"institutions":[{"id":"https://openalex.org/I4210137693","display_name":"Siemens (United States)","ror":"https://ror.org/04axb7e79","country_code":"US","type":"company","lineage":["https://openalex.org/I1325886976","https://openalex.org/I4210137693"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenyang Xu","raw_affiliation_strings":["Imaging and Visualization Department, Siemens Corporate Research, Inc., Princeton, NJ, USA","Siemens Corporate Research, Princeton NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imaging and Visualization Department, Siemens Corporate Research, Inc., Princeton, NJ, USA","institution_ids":["https://openalex.org/I4210137693"]},{"raw_affiliation_string":"Siemens Corporate Research, Princeton NJ","institution_ids":["https://openalex.org/I4210137693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9339,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.97799486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"825","last_page":"832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998000264167786,"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":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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":0.9994999766349792,"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/outlier","display_name":"Outlier","score":0.7201672792434692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6854476928710938},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6519411206245422},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.584060788154602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5819646716117859},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.572932779788971},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5490506291389465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.528656005859375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5158650279045105},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4959658086299896},{"id":"https://openalex.org/keywords/rigid-transformation","display_name":"Rigid transformation","score":0.46335673332214355},{"id":"https://openalex.org/keywords/geometric-transformation","display_name":"Geometric transformation","score":0.4607139527797699},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4467419683933258},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4162943959236145},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3501902222633362},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.34072381258010864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3374871015548706}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7201672792434692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6854476928710938},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6519411206245422},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.584060788154602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5819646716117859},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.572932779788971},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5490506291389465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.528656005859375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5158650279045105},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4959658086299896},{"id":"https://openalex.org/C126795593","wikidata":"https://www.wikidata.org/wiki/Q7333813","display_name":"Rigid transformation","level":2,"score":0.46335673332214355},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.4607139527797699},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4467419683933258},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4162943959236145},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3501902222633362},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.34072381258010864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3374871015548706},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2006.208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2006.208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1521462311","https://openalex.org/W1555017801","https://openalex.org/W1573751879","https://openalex.org/W1580568906","https://openalex.org/W1585192441","https://openalex.org/W1600026247","https://openalex.org/W1699734612","https://openalex.org/W1998710995","https://openalex.org/W1999954977","https://openalex.org/W2049981393","https://openalex.org/W2057175746","https://openalex.org/W2107128611","https://openalex.org/W2114218028","https://openalex.org/W2118104180","https://openalex.org/W2128409098","https://openalex.org/W2128566668","https://openalex.org/W2131213661","https://openalex.org/W2139958836","https://openalex.org/W2146766088","https://openalex.org/W2147555557","https://openalex.org/W2163624601","https://openalex.org/W2171490473","https://openalex.org/W4298876635","https://openalex.org/W6633097041","https://openalex.org/W6634407852","https://openalex.org/W6634773909","https://openalex.org/W6635990310","https://openalex.org/W6680709579"],"related_works":["https://openalex.org/W2888631859","https://openalex.org/W2171028602","https://openalex.org/W3037197017","https://openalex.org/W1669293561","https://openalex.org/W2110013921","https://openalex.org/W4328007191","https://openalex.org/W2547864609","https://openalex.org/W2131075122","https://openalex.org/W2559576191","https://openalex.org/W2367572136"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,10,28,90,162],"novel":[3],"feature-based":[4],"non-rigid":[5,92],"image":[6,136],"registration":[7,26],"algorithm":[8,43,53,96,157],"using":[9],"small":[11],"number":[12,164],"of":[13,40,165,179],"automatically":[14],"extracted":[15],"points":[16],"and":[17,33,58,67,75,118,138,177],"their":[18],"associated":[19],"local":[20,63,124],"salient":[21,64],"region":[22,65],"features.":[23],"Our":[24,95],"automatic":[25],"is":[27,97,113,127,158],"hybrid":[29],"approach":[30],"co-optimizing":[31],"point-based":[32],"image-based":[34],"terms.":[35],"Motivated":[36],"by":[37,54],"the":[38,41,47,68,73,144,175],"paradigm":[39],"TPS-RPM":[42,145],"[6],":[44],"we":[45],"develop":[46],"RHDM":[48],"(Robust":[49],"Hybrid":[50],"Deformable":[51],"Matching)":[52],"alternatively":[55],"optimizing":[56],"correspondences":[57,133],"transformations":[59],"for":[60,81,88,115,129],"registration.":[61],"The":[62,171],"features":[66],"geometric":[69],"features,":[70],"together":[71],"with":[72,143],"softassign":[74],"deterministic":[76],"annealing":[77],"techniques,":[78],"are":[79,86],"used":[80,87,128],"solving":[82],"correspondences.":[83],"Thin-plate":[84],"splines":[85],"generating":[89,119],"smooth":[91],"spatial":[93,121],"transformation.":[94],"built":[98],"to":[99,103,160],"be":[100],"extremely":[101],"robust":[102],"feature":[104],"extraction":[105],"errors.":[106],"A":[107,123],"new":[108],"dynamic":[109],"outlier":[110],"rejection":[111],"mechanism":[112],"described":[114],"rejecting":[116],"outliers":[117,151,166],"accurate":[120],"mappings.":[122],"refinement":[125],"technique":[126],"correcting":[130],"non-exactly":[131],"matched":[132],"arising":[134],"from":[135],"noise":[137],"irregular":[139],"deformations.":[140],"In":[141],"contrast":[142],"algorithm,":[146],"which":[147],"can":[148],"handle":[149,161],"only":[150],"in":[152,167],"one":[153],"point":[154,169],"set,":[155],"our":[156,180],"able":[159],"considerable":[163],"both":[168],"sets.":[170],"experimental":[172],"results":[173],"demonstrate":[174],"robustness":[176],"accuracy":[178],"algorithm.":[181]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}