{"id":"https://openalex.org/W1982371018","doi":"https://doi.org/10.1109/icarcv.2008.4795621","title":"Log-Polar transform in 3D environment","display_name":"Log-Polar transform in 3D environment","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W1982371018","doi":"https://doi.org/10.1109/icarcv.2008.4795621","mag":"1982371018"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2008.4795621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2008.4795621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 10th International Conference on Control, Automation, Robotics and Vision","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/A5103797129","display_name":"Takayuki Nakata","orcid":null},"institutions":[{"id":"https://openalex.org/I181934358","display_name":"Saitama Prefectural University","ror":"https://ror.org/04bpsyk42","country_code":"JP","type":"education","lineage":["https://openalex.org/I181934358"]},{"id":"https://openalex.org/I63216439","display_name":"Toyama Prefectural University","ror":"https://ror.org/03xgh2v50","country_code":"JP","type":"education","lineage":["https://openalex.org/I63216439"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takayuki Nakata","raw_affiliation_strings":["Department of Information Systems Engineering, Totama Prefectural University, Toyama, Japan","Dept. of Inf. Syst. Eng., Toyama Prefectural Univ., Imizu"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems Engineering, Totama Prefectural University, Toyama, Japan","institution_ids":["https://openalex.org/I181934358"]},{"raw_affiliation_string":"Dept. of Inf. Syst. Eng., Toyama Prefectural Univ., Imizu","institution_ids":["https://openalex.org/I63216439"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005369478","display_name":"Yue Bao","orcid":"https://orcid.org/0000-0001-6179-6135"},"institutions":[{"id":"https://openalex.org/I98083888","display_name":"Musashi University","ror":"https://ror.org/05qp61e83","country_code":"JP","type":"education","lineage":["https://openalex.org/I98083888"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yue Bao","raw_affiliation_strings":["Faculty Of Knowledge Engineering, Masashi Institute of Technology, Tokyo, Japan","Fac. of Knowledge Eng., Musashi Inst. of Technol., Tokyo"],"affiliations":[{"raw_affiliation_string":"Faculty Of Knowledge Engineering, Masashi Institute of Technology, Tokyo, Japan","institution_ids":[]},{"raw_affiliation_string":"Fac. of Knowledge Eng., Musashi Inst. of Technol., Tokyo","institution_ids":["https://openalex.org/I98083888"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103797129"],"corresponding_institution_ids":["https://openalex.org/I181934358","https://openalex.org/I63216439"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06064365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"809","last_page":"814"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9993000030517578,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9993000030517578,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9959999918937683,"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":0.657963752746582},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.6267417073249817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5815317034721375},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.534825325012207},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5118579268455505},{"id":"https://openalex.org/keywords/s-transform","display_name":"S transform","score":0.4928395748138428},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47114530205726624},{"id":"https://openalex.org/keywords/polar","display_name":"Polar","score":0.4504826068878174},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4410712718963623},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.41931676864624023},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2843386232852936},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.17122066020965576},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10287296772003174},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10096842050552368},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.08172446489334106}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.657963752746582},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6267417073249817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5815317034721375},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.534825325012207},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5118579268455505},{"id":"https://openalex.org/C99234102","wikidata":"https://www.wikidata.org/wiki/Q7395403","display_name":"S transform","level":5,"score":0.4928395748138428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47114530205726624},{"id":"https://openalex.org/C29705727","wikidata":"https://www.wikidata.org/wiki/Q294562","display_name":"Polar","level":2,"score":0.4504826068878174},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4410712718963623},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.41931676864624023},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2843386232852936},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.17122066020965576},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10287296772003174},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10096842050552368},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.08172446489334106},{"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2008.4795621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2008.4795621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 10th International Conference on Control, Automation, Robotics and Vision","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":9,"referenced_works":["https://openalex.org/W1966166646","https://openalex.org/W1997021071","https://openalex.org/W2002171686","https://openalex.org/W2022203019","https://openalex.org/W2152701363","https://openalex.org/W2154359228","https://openalex.org/W2158375839","https://openalex.org/W2159709546","https://openalex.org/W4242010931"],"related_works":["https://openalex.org/W1973916483","https://openalex.org/W2885615566","https://openalex.org/W2065102984","https://openalex.org/W2149101979","https://openalex.org/W2038416447","https://openalex.org/W2364151838","https://openalex.org/W3186443608","https://openalex.org/W2023456168","https://openalex.org/W2025479331","https://openalex.org/W1502590441"],"abstract_inverted_index":{"Log-Polar":[0,27,70],"transform":[1,28,71,78,90],"is":[2,29,33,45,80,85,105],"mentioned":[3],"as":[4],"one":[5],"of":[6,9,24,39],"the":[7,10,22,46,99],"models":[8],"central-fovea":[11],"visual":[12],"sensor":[13],"in":[14,21,37,59,61],"a":[15,51,54,62,68],"creature":[16],"sight.":[17],"Up":[18],"to":[19,50],"now,":[20],"field":[23],"image":[25],"recognition,":[26],"known":[30],"widely":[31],"and":[32,53,82],"especially":[34],"used":[35],"well":[36],"recognition":[38,47,101],"face":[40],"images.":[41],"However,":[42],"since":[43],"it":[44,56],"method":[48],"only":[49],"scaling":[52],"rotation,":[55],"mainly":[57],"remains":[58],"application":[60],"2D":[63],"space.":[64],"In":[65],"this":[66,83,97],"paper,":[67],"new":[69],"algorithm":[72,84],"which":[73],"can":[74,92],"detect":[75],"even":[76],"affine":[77],"parameters":[79],"proposed,":[81],"expand":[86],"so":[87],"that":[88],"perspective":[89],"invariant":[91],"be":[93],"detected.":[94],"By":[95],"using":[96],"transform,":[98],"pattern":[100],"within":[102],"3D":[103],"space":[104],"possible.":[106]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}