Publication Information

{'id': 'https://openalex.org/W2516296357', 'doi': 'https://doi.org/10.1016/j.procs.2016.07.240', 'title': 'Robust Face Recognition System in Video using Hybrid Scale Invariant Feature Transform', 'display_name': 'Robust Face Recognition System in Video using Hybrid Scale Invariant Feature Transform', 'publication_year': 2016, 'publication_date': '2016-01-01', 'ids': {'openalex': 'https://openalex.org/W2516296357', 'doi': 'https://doi.org/10.1016/j.procs.2016.07.240', 'mag': '2516296357'}, 'language': 'en', 'primary_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1016/j.procs.2016.07.240', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S120348307', 'display_name': 'Procedia Computer Science', 'issn_l': '1877-0509', 'issn': ['1877-0509'], 'is_oa': True, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320990', 'host_organization_name': 'Elsevier BV', 'host_organization_lineage': ['https://openalex.org/P4310320990'], 'host_organization_lineage_names': ['Elsevier BV'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': True, 'oa_status': 'gold', 'oa_url': 'https://doi.org/10.1016/j.procs.2016.07.240', 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5045715674', 'display_name': 'V. Mohanraj', 'orcid': 'https://orcid.org/0000-0002-5254-9279'}, 'institutions': [{'id': 'https://openalex.org/I24676775', 'display_name': 'Indian Institute of Technology Madras', 'ror': 'https://ror.org/03v0r5n49', 'country_code': 'IN', 'type': 'facility', 'lineage': ['https://openalex.org/I24676775']}, {'id': 'https://openalex.org/I33585257', 'display_name': 'Anna University, Chennai', 'ror': 'https://ror.org/01qhf1r47', 'country_code': 'IN', 'type': 'education', 'lineage': ['https://openalex.org/I33585257']}], 'countries': ['IN'], 'is_corresponding': True, 'raw_author_name': 'V. Mohanraj', 'raw_affiliation_strings': ['Department of Electronics Enigneering, Madras Institute of Technology, Anna University, Chennai-44'], 'affiliations': [{'raw_affiliation_string': 'Department of Electronics Enigneering, Madras Institute of Technology, Anna University, Chennai-44', 'institution_ids': ['https://openalex.org/I24676775', 'https://openalex.org/I33585257']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5052743354', 'display_name': 'M. N. Vimalkumar', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I33585257', 'display_name': 'Anna University, Chennai', 'ror': 'https://ror.org/01qhf1r47', 'country_code': 'IN', 'type': 'education', 'lineage': ['https://openalex.org/I33585257']}], 'countries': ['IN'], 'is_corresponding': False, 'raw_author_name': 'M. Vimalkumar', 'raw_affiliation_strings': ['Department of Information Technology, Madras Institute of Technology, Anna University, Chennai-44'], 'affiliations': [{'raw_affiliation_string': 'Department of Information Technology, Madras Institute of Technology, Anna University, Chennai-44', 'institution_ids': ['https://openalex.org/I33585257']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5060180653', 'display_name': 'M. Mithila', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I33585257', 'display_name': 'Anna University, Chennai', 'ror': 'https://ror.org/01qhf1r47', 'country_code': 'IN', 'type': 'education', 'lineage': ['https://openalex.org/I33585257']}], 'countries': ['IN'], 'is_corresponding': False, 'raw_author_name': 'M. Mithila', 'raw_affiliation_strings': ['Department of Information Technology, Madras Institute of Technology, Anna University, Chennai-44'], 'affiliations': [{'raw_affiliation_string': 'Department of Information Technology, Madras Institute of Technology, Anna University, Chennai-44', 'institution_ids': ['https://openalex.org/I33585257']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5051485406', 'display_name': 'V. Vaidehi', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I24676775', 'display_name': 'Indian Institute of Technology Madras', 'ror': 'https://ror.org/03v0r5n49', 'country_code': 'IN', 'type': 'facility', 'lineage': ['https://openalex.org/I24676775']}, {'id': 'https://openalex.org/I33585257', 'display_name': 'Anna University, Chennai', 'ror': 'https://ror.org/01qhf1r47', 'country_code': 'IN', 'type': 'education', 'lineage': ['https://openalex.org/I33585257']}], 'countries': ['IN'], 'is_corresponding': False, 'raw_author_name': 'V. Vaidehi', 'raw_affiliation_strings': ['Department of Electronics Enigneering, Madras Institute of Technology, Anna University, Chennai-44'], 'affiliations': [{'raw_affiliation_string': 'Department of Electronics Enigneering, Madras Institute of Technology, Anna University, Chennai-44', 'institution_ids': ['https://openalex.org/I24676775', 'https://openalex.org/I33585257']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 2, 'corresponding_author_ids': ['https://openalex.org/A5045715674'], 'corresponding_institution_ids': ['https://openalex.org/I24676775', 'https://openalex.org/I33585257'], 'apc_list': None, 'apc_paid': None, 'fwci': 0.515, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 11, 'citation_normalized_percentile': {'value': 0.744965, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 87, 'max': 88}, 'biblio': {'volume': '93', 'issue': None, 'first_page': '503', 'last_page': '512'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11448', 'display_name': 'Face recognition and analysis', 'score': 0.9992, '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/T11448', 'display_name': 'Face recognition and analysis', 'score': 0.9992, '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/T10057', 'display_name': 'Face and Expression Recognition', 'score': 0.9991, '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/T10828', 'display_name': 'Biometric Identification and Security', 'score': 0.9897, 'subfield': {'id': 'https://openalex.org/subfields/1711', 'display_name': 'Signal Processing'}, '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': 0.8366161}, {'id': 'https://openalex.org/keywords/three-dimensional-face-recognition', 'display_name': 'Three-dimensional face recognition', 'score': 0.5384059}, {'id': 'https://openalex.org/keywords/feature', 'display_name': 'Feature (linguistics)', 'score': 0.42651427}], 'concepts': [{'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.84746474}, {'id': 'https://openalex.org/C61265191', 'wikidata': 'https://www.wikidata.org/wiki/Q767770', 'display_name': 'Scale-invariant feature transform', 'level': 3, 'score': 0.8366161}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.7682277}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.6694552}, {'id': 'https://openalex.org/C31510193', 'wikidata': 'https://www.wikidata.org/wiki/Q1192553', 'display_name': 'Facial recognition system', 'level': 3, 'score': 0.661925}, {'id': 'https://openalex.org/C136943445', 'wikidata': 'https://www.wikidata.org/wiki/Q1970240', 'display_name': 'Histogram equalization', 'level': 4, 'score': 0.5825314}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.5717659}, {'id': 'https://openalex.org/C88799230', 'wikidata': 'https://www.wikidata.org/wiki/Q3398329', 'display_name': 'Three-dimensional face recognition', 'level': 5, 'score': 0.5384059}, {'id': 'https://openalex.org/C190470478', 'wikidata': 'https://www.wikidata.org/wiki/Q2370229', 'display_name': 'Invariant (physics)', 'level': 2, 'score': 0.51731634}, {'id': 'https://openalex.org/C183115368', 'wikidata': 'https://www.wikidata.org/wiki/Q856577', 'display_name': 'Weighting', 'level': 2, 'score': 0.51107776}, {'id': 'https://openalex.org/C184297639', 'wikidata': 'https://www.wikidata.org/wiki/Q177765', 'display_name': 'Biometrics', 'level': 2, 'score': 0.46662912}, {'id': 'https://openalex.org/C2776401178', 'wikidata': 'https://www.wikidata.org/wiki/Q12050496', 'display_name': 'Feature (linguistics)', 'level': 2, 'score': 0.42651427}, {'id': 'https://openalex.org/C53533937', 'wikidata': 'https://www.wikidata.org/wiki/Q185020', 'display_name': 'Histogram', 'level': 3, 'score': 0.4137464}, {'id': 'https://openalex.org/C4641261', 'wikidata': 'https://www.wikidata.org/wiki/Q11681085', 'display_name': 'Face detection', 'level': 4, 'score': 0.35659763}, {'id': 'https://openalex.org/C52622490', 'wikidata': 'https://www.wikidata.org/wiki/Q1026626', 'display_name': 'Feature extraction', 'level': 2, 'score': 0.3486525}, {'id': 'https://openalex.org/C115961682', 'wikidata': 'https://www.wikidata.org/wiki/Q860623', 'display_name': 'Image (mathematics)', 'level': 2, 'score': 0.16191348}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.11436978}, {'id': 'https://openalex.org/C71924100', 'wikidata': 'https://www.wikidata.org/wiki/Q11190', 'display_name': 'Medicine', '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/C138885662', 'wikidata': 'https://www.wikidata.org/wiki/Q5891', 'display_name': 'Philosophy', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C126838900', 'wikidata': 'https://www.wikidata.org/wiki/Q77604', 'display_name': 'Radiology', 'level': 1, 'score': 0.0}, {'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': [{'is_oa': True, 'landing_page_url': 'https://doi.org/10.1016/j.procs.2016.07.240', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S120348307', 'display_name': 'Procedia Computer Science', 'issn_l': '1877-0509', 'issn': ['1877-0509'], 'is_oa': True, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320990', 'host_organization_name': 'Elsevier BV', 'host_organization_lineage': ['https://openalex.org/P4310320990'], 'host_organization_lineage_names': ['Elsevier BV'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://doi.org/10.1016/j.procs.2016.07.240', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S120348307', 'display_name': 'Procedia Computer Science', 'issn_l': '1877-0509', 'issn': ['1877-0509'], 'is_oa': True, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320990', 'host_organization_name': 'Elsevier BV', 'host_organization_lineage': ['https://openalex.org/P4310320990'], 'host_organization_lineage_names': ['Elsevier BV'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 19, 'referenced_works': ['https://openalex.org/W1820849028', 'https://openalex.org/W1977774297', 'https://openalex.org/W1996939238', 'https://openalex.org/W1998294030', 'https://openalex.org/W2010804936', 'https://openalex.org/W2021340975', 'https://openalex.org/W2061646053', 'https://openalex.org/W2085283108', 'https://openalex.org/W2087681821', 'https://openalex.org/W2106121358', 'https://openalex.org/W2110599581', 'https://openalex.org/W2120453412', 'https://openalex.org/W2144093206', 'https://openalex.org/W2151103935', 'https://openalex.org/W2157092301', 'https://openalex.org/W2161969291', 'https://openalex.org/W2162813111', 'https://openalex.org/W2164598857', 'https://openalex.org/W2238285753'], 'related_works': ['https://openalex.org/W980171259', 'https://openalex.org/W74006108', 'https://openalex.org/W4360994936', 'https://openalex.org/W4206923589', 'https://openalex.org/W325114128', 'https://openalex.org/W3034828634', 'https://openalex.org/W3014491775', 'https://openalex.org/W2362246177', 'https://openalex.org/W2184186800', 'https://openalex.org/W1571439987'], 'abstract_inverted_index': {'Face': [0, 21], 'recognition': [1, 34, 63, 176], 'plays': [2], 'a': [3, 132, 175], 'significant': [4], 'role': [5], 'in': [6, 64, 86, 122, 127, 171, 182], 'the': [7, 36, 46], 'research': [8], 'field': [9], 'of': [10, 18, 45, 67, 141, 161, 178], 'biometric': [11], 'and': [12, 38, 75, 103, 138, 146, 180, 185], 'computer': [13], 'vision.': [14], 'The': [15, 78, 89, 150, 165], 'important': [16], 'goal': [17], 'an': [19], 'efficient': [20, 47], 'Recognition': [22], '(FR)': [23], 'system': [24], 'is': [25, 81, 125], 'to': [26, 60, 105, 143, 173], 'have': [27], 'negligible': [28], 'misclassification': [29], 'rate.': [30], 'In': [31], 'video-based': [32], 'face': [33], 'system,': [35], 'illumination': [37, 69, 79, 145], 'pose': [39, 101, 147], 'variation': [40, 102], 'problems': [41], 'are': [42, 50, 153], 'predominant.': [43], 'Most': [44], 'FR': [48], 'systems': [49], 'developed': [51], 'for': [52, 100, 159], 'controlled': [53], 'or': [54], 'indoor': [55], 'environment,': [56], 'hence': [57], 'they': [58], 'fail': [59], 'give': [61, 174], 'accurate': [62], 'outdoor': [65], 'environment': [66], 'different': [68], 'variation.': [70], 'Other': [71], 'challenges': [72], 'include': [73], 'occlusion': [74], 'facial': [76, 134], 'expression.': [77], 'problem': [80], 'handled': [82], 'by': [83], 'Histogram': [84], 'Equalization': [85], 'existing': [87], 'methods.': [88], 'original': [90], 'Scale': [91, 114], 'Invariant': [92, 115], 'Feature': [93, 116], 'Transform': [94, 117], '(SIFT)': [95], 'also': [96], 'works': [97], 'well': [98], 'only': [99], 'fails': [104], 'produce': [106], 'satisfactory': [107], 'results': [108], 'under': [109], 'varying': [110], 'illumination.': [111], 'Hence': [112], 'Hybrid': [113], '(HSIFT)': [118], 'with': [119], 'Weighting': [120], 'Factor': [121], 'feature': [123], 'matching': [124], 'proposed': [126, 166], 'this': [128], 'paper': [129], 'which': [130], 'uses': [131], 'fixed': [133], 'landmark': [135], 'localization': [136], 'technique': [137], 'orientation': [139], 'assignment': [140], 'SIFT': [142], 'extract': [144], 'invariant': [148], 'features.': [149], 'extracted': [151], 'features': [152], 'then': [154], 'matched': [155], 'using': [156], 'Fast': [157], 'Library': [158], 'Approximation': [160], 'Nearest': [162], 'Neighbor': [163], '(FLANN).': [164], 'method': [167], 'has': [168], 'been': [169], 'implemented': [170], 'OpenCV': [172], 'rate': [177], '98%': [179], '95.5%': [181], 'YouTube': [183], 'celebrity': [184], 'Extended': [186], 'Yale': [187], 'B': [188], 'dataset': [189], 'respectively.': [190]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2516296357', 'counts_by_year': [{'year': 2023, 'cited_by_count': 3}, {'year': 2021, 'cited_by_count': 3}, {'year': 2020, 'cited_by_count': 2}, {'year': 2019, 'cited_by_count': 1}, {'year': 2018, 'cited_by_count': 2}], 'updated_date': '2024-12-24T12:03:22.072752', 'created_date': '2016-09-16'}