{"id":"https://openalex.org/W2608981819","doi":"https://doi.org/10.1109/icpr.2016.7899717","title":"Quaternion-type moments combining both color and depth information for RGB-D object recognition","display_name":"Quaternion-type moments combining both color and depth information for RGB-D object recognition","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608981819","doi":"https://doi.org/10.1109/icpr.2016.7899717","mag":"2608981819"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5078100598","display_name":"Beijing Chen","orcid":"https://orcid.org/0000-0002-2506-0427"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Beijing Chen","raw_affiliation_strings":["School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056330214","display_name":"Jianhao Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhao Yang","raw_affiliation_strings":["School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100995611","display_name":"Mengru Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengru Ding","raw_affiliation_strings":["School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091159493","display_name":"Tianliang Liu","orcid":"https://orcid.org/0000-0001-9800-1981"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianliang Liu","raw_affiliation_strings":["College of Telecommunications & Information Engineering, Nanjing University of Posts & Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications & Information Engineering, Nanjing University of Posts & Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071724015","display_name":"Xinpeng Zhang","orcid":"https://orcid.org/0000-0001-5867-1315"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpeng Zhang","raw_affiliation_strings":["School of Communication & Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Communication & Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078100598"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":0.334,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69469851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"15","issue":null,"first_page":"704","last_page":"708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10627","display_name":"Advanced Image and Video Retrieval 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/T13579","display_name":"Image and Video Stabilization","score":0.9987000226974487,"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/quaternion","display_name":"Quaternion","score":0.9183098673820496},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.7837138175964355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7532302141189575},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6508285999298096},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6039596796035767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5054075717926025},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4884578287601471},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45957088470458984},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37933483719825745},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1731800138950348},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09893348813056946},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08701148629188538}],"concepts":[{"id":"https://openalex.org/C200127275","wikidata":"https://www.wikidata.org/wiki/Q173853","display_name":"Quaternion","level":2,"score":0.9183098673820496},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7837138175964355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7532302141189575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6508285999298096},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6039596796035767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5054075717926025},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4884578287601471},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45957088470458984},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37933483719825745},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1731800138950348},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09893348813056946},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08701148629188538},{"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/icpr.2016.7899717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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":13,"referenced_works":["https://openalex.org/W1149686452","https://openalex.org/W1700035086","https://openalex.org/W1803059841","https://openalex.org/W1973159289","https://openalex.org/W1977910068","https://openalex.org/W1979473816","https://openalex.org/W1996040242","https://openalex.org/W1998242976","https://openalex.org/W2035188902","https://openalex.org/W2041398628","https://openalex.org/W2077926306","https://openalex.org/W2093102539","https://openalex.org/W6637501666"],"related_works":["https://openalex.org/W3127350447","https://openalex.org/W3108700312","https://openalex.org/W3019147359","https://openalex.org/W3003926144","https://openalex.org/W2809889952","https://openalex.org/W2216907995","https://openalex.org/W1986138551","https://openalex.org/W2350512350","https://openalex.org/W2086128134","https://openalex.org/W2737324262"],"abstract_inverted_index":{"The":[0,56,65,89],"existing":[1],"quaternion-type":[2],"moments":[3],"(QTMs)":[4],"are":[5,69,76],"based":[6],"on":[7],"the":[8,37,61,72,79,94],"quaternion":[9,63,80],"representation":[10,17],"(QR)":[11],"of":[12],"color":[13,26,44,54,102],"images.":[14],"However,":[15],"this":[16,32],"creates":[18],"redundancy":[19],"when":[20],"using":[21,71],"four-dimensional":[22,62],"quaternions":[23],"to":[24,51],"represent":[25],"images":[27],"with":[28,78],"three":[29],"components.":[30],"In":[31],"paper,":[33],"for":[34,85],"RGB-D":[35,86],"images,":[36],"QR":[38,58],"is":[39,49],"improved":[40,57,73],"by":[41],"combining":[42],"both":[43],"and":[45,53],"depth":[46],"information,":[47],"which":[48],"invariant":[50],"lighting":[52],"variations.":[55],"fully":[59],"utilizes":[60],"domain.":[64],"new":[66],"QTMs":[67,99],"(NQTMs)":[68],"defined":[70],"QR.":[74],"They":[75],"combined":[77],"back-propagation":[81],"neural":[82],"network":[83],"(QBPNN)":[84],"object":[87],"recognition.":[88],"experimental":[90],"results":[91],"demonstrate":[92],"that":[93],"NQTMs":[95],"outperform":[96],"our":[97],"previous":[98],"considering":[100],"only":[101],"information.":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}