{"id":"https://openalex.org/W2547822739","doi":"https://doi.org/10.1109/latincom.2014.7041889","title":"Tensor based feature detection for recognition of poorly illuminated objects","display_name":"Tensor based feature detection for recognition of poorly illuminated objects","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2547822739","doi":"https://doi.org/10.1109/latincom.2014.7041889","mag":"2547822739"},"language":"en","primary_location":{"id":"doi:10.1109/latincom.2014.7041889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom.2014.7041889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Latin-America Conference on Communications (LATINCOM)","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/A5018648188","display_name":"Fernando Merch\u00e1n","orcid":"https://orcid.org/0000-0001-8555-5424"},"institutions":[{"id":"https://openalex.org/I86831216","display_name":"Universidad Tecnol\u00f3gica de Panam\u00e1","ror":"https://ror.org/030ve2c48","country_code":"PA","type":"education","lineage":["https://openalex.org/I86831216"]}],"countries":["PA"],"is_corresponding":false,"raw_author_name":"Femando Merchan","raw_affiliation_strings":["Dept. of Electrical Engineering, Universidad Tecnol\u00f3gica de Panam\u00e1, Panam\u00e1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Universidad Tecnol\u00f3gica de Panam\u00e1, Panam\u00e1","institution_ids":["https://openalex.org/I86831216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037298562","display_name":"Filadelfio Caballero","orcid":null},"institutions":[{"id":"https://openalex.org/I86831216","display_name":"Universidad Tecnol\u00f3gica de Panam\u00e1","ror":"https://ror.org/030ve2c48","country_code":"PA","type":"education","lineage":["https://openalex.org/I86831216"]}],"countries":["PA"],"is_corresponding":false,"raw_author_name":"Filadelfio Caballero","raw_affiliation_strings":["Dept. of Electrical Engineering, Universidad Tecnol\u00f3gica de Panam\u00e1, Panam\u00e1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Universidad Tecnol\u00f3gica de Panam\u00e1, Panam\u00e1","institution_ids":["https://openalex.org/I86831216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008236908","display_name":"Damien Rousseau","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Damien Rousseau","raw_affiliation_strings":["ENSEIRB-MATMECA, Bordeaux, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ENSEIRB-MATMECA, Bordeaux, France","institution_ids":["https://openalex.org/I4210160189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046050482","display_name":"H\u00e9ctor Poveda","orcid":"https://orcid.org/0000-0002-6500-7006"},"institutions":[{"id":"https://openalex.org/I86831216","display_name":"Universidad Tecnol\u00f3gica de Panam\u00e1","ror":"https://ror.org/030ve2c48","country_code":"PA","type":"education","lineage":["https://openalex.org/I86831216"]}],"countries":["PA"],"is_corresponding":false,"raw_author_name":"Hector Poveda","raw_affiliation_strings":["Dept. of Electrical Engineering, Universidad Tecnol\u00f3gica de Panam\u00e1, Panam\u00e1"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, Universidad Tecnol\u00f3gica de Panam\u00e1, Panam\u00e1","institution_ids":["https://openalex.org/I86831216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27303676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3952","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983999729156494,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9902999997138977,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8958843946456909},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8031480312347412},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7346335649490356},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.672339677810669},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6348679065704346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6315925121307373},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6111541986465454},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.5588412284851074},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5449321866035461},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49373874068260193},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.47397464513778687},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.4553107023239136},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.45405346155166626},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3578786849975586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30457186698913574}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8958843946456909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8031480312347412},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7346335649490356},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.672339677810669},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6348679065704346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315925121307373},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6111541986465454},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.5588412284851074},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5449321866035461},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49373874068260193},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.47397464513778687},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.4553107023239136},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.45405346155166626},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3578786849975586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30457186698913574},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/latincom.2014.7041889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/latincom.2014.7041889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Latin-America Conference on Communications (LATINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8199999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324129","display_name":"Secretar\u00eda Nacional de Ciencia, Tecnolog\u00eda e Innovaci\u00f3n","ror":"https://ror.org/03gat5t60"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W99990579","https://openalex.org/W1597084354","https://openalex.org/W2026543703","https://openalex.org/W2027401313","https://openalex.org/W2033379850","https://openalex.org/W2033493438","https://openalex.org/W2118153703","https://openalex.org/W2147469781","https://openalex.org/W2151103935","https://openalex.org/W6604045027"],"related_works":["https://openalex.org/W2071599417","https://openalex.org/W2048716406","https://openalex.org/W1870444468","https://openalex.org/W2979608518","https://openalex.org/W1964725559","https://openalex.org/W2939132449","https://openalex.org/W1409560160","https://openalex.org/W3003960249","https://openalex.org/W2045053268","https://openalex.org/W3109748140"],"abstract_inverted_index":{"In":[0,14],"this":[1],"work":[2],"we":[3],"present":[4],"an":[5,19,60],"extension":[6],"of":[7,28,50,99],"the":[8,15,25,29,41,44,51,54,65,75,79,83],"SIFT":[9,81],"algorithm":[10,77,92],"to":[11,35,58,63],"color":[12,26,45],"images.":[13],"extrema":[16],"detection":[17],"stage,":[18,43],"energy":[20],"level":[21],"descriptor":[22],"based":[23],"on":[24],"tensor":[27],"image":[30],"is":[31,71],"computed":[32],"and":[33,48,78,82],"used":[34,57],"locate":[36],"keypoints":[37],"candidates.":[38],"Then,":[39],"in":[40,86,97],"description":[42],"gradient":[46],"magnitude":[47],"orientation":[49,61],"samples":[52],"around":[53],"keypoint":[55,66],"are":[56,103],"compute":[59],"histogram":[62],"create":[64],"descriptor.":[67],"A":[68],"comparative":[69],"study":[70],"carried":[72],"out":[73],"between":[74],"proposed":[76,91],"classic":[80],"C-SIFT":[84],"algorithms":[85],"several":[87],"illumination":[88],"settings.":[89],"The":[90],"presents":[93],"a":[94],"better":[95],"performance":[96],"terms":[98],"accuracy":[100],"when":[101],"objects":[102],"poorly":[104],"illuminated.":[105]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
