{"created":"2021-03-01T06:21:32.226410+00:00","id":4857,"links":{},"metadata":{"_buckets":{"deposit":"8e1bd9db-bfa1-4966-8a3c-93a7325c3b2c"},"_deposit":{"id":"4857","owners":[],"pid":{"revision_id":0,"type":"depid","value":"4857"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00004857"},"item_7_alternative_title_1":{"attribute_name":"\u305d\u306e\u4ed6\u306e\u30bf\u30a4\u30c8\u30eb","attribute_value_mlt":[{"subitem_alternative_title":"\u76ae\u819a\u8272\u7d20\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u8fd1\u8d64\u5916\u9854\u753b\u50cf\u304b\u3089\u53ef\u8996\u5149\u9854\u753b\u50cf\u3078\u306e\u5909\u63db"}]},"item_7_biblio_info_7":{"attribute_name":"\u66f8\u8a8c\u60c5\u5831","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2013-03-25","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{}]}]},"item_7_date_granted_25":{"attribute_name":"\u5b66\u4f4d\u6388\u4e0e\u5e74\u6708\u65e5","attribute_value_mlt":[{"subitem_dategranted":"2013-03-25"}]},"item_7_degree_name_20":{"attribute_name":"\u5b66\u4f4d\u540d","attribute_value_mlt":[{"subitem_degreename":"\u4fee\u58eb(\u60c5\u5831\u7406\u5de5\u5b66)"}]},"item_7_description_5":{"attribute_name":"\u6284\u9332","attribute_value_mlt":[{"subitem_description":"Facial images are the primary biometric used for a human identification system and a tracking system. Especially, a visible light (VIS) facial image is commonly used as it is easy to be acquired and its appearance is similar to the human visual system. However, images taken under varying illumination or a low-lit condition result in poor recognition accuracy for systems using VIS images. To alleviate this problem, a system using an active near infrared (NIR) flash is proposed to acquire illumination invariant facial images. Yet, this system requires both probe and gallery images to be taken under NIR spectrum which limits the applicability of the system as NIR images are often unavailable for gallery images, e.g., photos on a passport or a driving license. In such cases, probe NIR images are matched against VIS gallery images. One of the solutions to this problem is to convert probe NIR images to artificial VIS images before matching. In this thesis, we propose a physics-based method to synthesize artificial facial images in visible wavelengths from multiband NIR images. Studies on photometric properties of human skin show that melanin and hemoglobin components are dominant factors that affect the skin appearance under different light spectrum. Our physics-based synthesis method takes account of the photometric properties of human skin, introducing a skin pigment model. Specifically, a set of intensities observed at a certain surface point with varying wavelength is represented by a linear combination of both the pigment components. Our method learns the spectral basis vectors, which describe absorbance of both the pigments, from multispectral image dataset by using Independent Component Analysis (ICA). Then, our method estimates the coefficients, which are pixel-wise densities of both the pigments, from a multiband NIR image, and finally converts it to a visible light image. We demonstrate that our method works well for real facial images even though only a small dataset is available for learning basis vectors.","subitem_description_type":"Abstract"}]},"item_7_full_name_3":{"attribute_name":"\u8457\u8005\u5225\u540d","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"10554","nameIdentifierScheme":"WEKO"}],"names":[{"name":"\u30b4\u30a6, \u30ad\u30e0\u3000\u30b7\u30f3"}]}]},"item_7_select_21":{"attribute_name":"\u5b66\u4f4d","attribute_value_mlt":[{"subitem_select_item":"master"}]},"item_7_text_24":{"attribute_name":"\u7814\u7a76\u79d1\u30fb\u5c02\u653b","attribute_value_mlt":[{"subitem_text_value":"\u60c5\u5831\u7406\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1\u30fb\u96fb\u5b50\u60c5\u5831\u5b66\u5c02\u653b"}]},"item_7_text_4":{"attribute_name":"\u8457\u8005\u6240\u5c5e","attribute_value_mlt":[{"subitem_text_value":"\u6771\u4eac\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u7406\u5de5\u5b66\u7cfb\u7814\u7a76\u79d1\u96fb\u5b50\u60c5\u5831\u5b66\u5c02\u653b"},{"subitem_text_value":"Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo"}]},"item_creator":{"attribute_name":"\u8457\u8005","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Goh, Kim Shing"}],"nameIdentifiers":[{"nameIdentifier":"10553","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"\u30d5\u30a1\u30a4\u30eb\u60c5\u5831","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-06-01"}],"displaytype":"detail","filename":"48116421.pdf","filesize":[{"value":"9.4 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"48116421.pdf","url":"https://repository.dl.itc.u-tokyo.ac.jp/record/4857/files/48116421.pdf"},"version_id":"8752de1a-5fa1-4e32-b6f1-a5d3c2d42c48"}]},"item_language":{"attribute_name":"\u8a00\u8a9e","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"\u8cc7\u6e90\u30bf\u30a4\u30d7","attribute_value_mlt":[{"resourcetype":"thesis","resourceuri":"http://purl.org/coar/resource_type/c_46ec"}]},"item_title":"Converting Near Infrared Facial Images to Visible Light Images using Skin Pigment Model","item_titles":{"attribute_name":"\u30bf\u30a4\u30c8\u30eb","attribute_value_mlt":[{"subitem_title":"Converting Near Infrared Facial Images to Visible Light Images using Skin Pigment Model"}]},"item_type_id":"7","owner":"1","path":["9/233/234","34/105/262"],"pubdate":{"attribute_name":"\u516c\u958b\u65e5","attribute_value":"2013-05-07"},"publish_date":"2013-05-07","publish_status":"0","recid":"4857","relation_version_is_last":true,"title":["Converting Near Infrared Facial Images to Visible Light Images using Skin Pigment Model"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2021-03-02T07:49:07.129759+00:00"}