{"_buckets": {"deposit": "b3fb8742-de64-47ec-ae17-9fcd31655469"}, "_deposit": {"id": "4864", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "4864"}, "status": "published"}, "_oai": {"id": "oai:repository.dl.itc.u-tokyo.ac.jp:00004864"}, "item_7_alternative_title_1": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "\u30ab\u30e1\u30e9\u5fdc\u7b54\u95a2\u6570\u306e\u81ea\u52d5\u6821\u6b63\u3092\u4f34\u3046\u7167\u5ea6\u5dee\u30b9\u30c6\u30ec\u30aa"}]}, "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": "This thesis presents photometric stereo with auto-radiometric calibration to estimate surface orientations from a sequence of object images taken under different lighting directions with a radiometrically uncalibrated camera. The original photometric stereo assumes the images are captured by a camera with a linear response function. However, cameras often have a non-linear response function, and thus, the radiometric calibration is required to cancel the effect of nonlinear response function before taking images which are later used for physics-based analysis of the scene. Unfortunately, the radiometric calibration is a time-consuming pre-process requiring many additional images. The goal of this study is to achieve photometric stereo with auto-radiometric calibration that can estimate surface orientations from radiometrically uncalibrated images with no additional image required. With this method, one can apply photometric stereo with images taken by a camera whose response function is unknown. The key idea behind this work is to make use of the consistency between the irradiance converted from the inverse response function and the irradiance estimated from a reflection model, more specifically, Lambertian model in this work. Consequently, a linear optimization problem can be formulated to estimate the surface normals of a Lambertian surface and the response function simultaneously. To handle non-Lambertian surfaces, the proposed method is further extended for discarding specular highlights with a RANSAC-like approach where surface orientations and a camera response function can be estimated simultaneously in the face of specular highlights. Experiments were conducted using both synthetic objects and real objects, demonstrating the effectiveness of the proposed method successfully.", "subitem_description_type": "Abstract"}]}, "item_7_full_name_3": {"attribute_name": "\u8457\u8005\u5225\u540d", "attribute_value_mlt": [{"nameIdentifiers": [{"nameIdentifier": "10566", "nameIdentifierScheme": "WEKO"}], "names": [{"name": "\u30e2\u30f3\u30b3\u30f3\u30de\u30fc\u30f3, \u30a6\u30a3\u30fc\u30f3\u30ca\u30fc\u30c8"}]}]}, "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_36": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_text_value": "Thesis"}]}, "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": "Mongkulmann, Wiennat"}], "nameIdentifiers": [{"nameIdentifier": "10565", "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", "download_preview_message": "", "file_order": 0, "filename": "48116443.pdf", "filesize": [{"value": "6.0 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 6000000.0, "url": {"label": "48116443.pdf", "url": "https://repository.dl.itc.u-tokyo.ac.jp/record/4864/files/48116443.pdf"}, "version_id": "5b03482e-2f9f-42fa-aef3-34aa01ca70e5"}]}, "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": "Photometric Stereo with Auto-Radiometric Calibration", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Photometric Stereo with Auto-Radiometric Calibration"}]}, "item_type_id": "7", "owner": "1", "path": ["9/233/234", "34/105/262"], "permalink_uri": "http://hdl.handle.net/2261/54209", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2013-05-07"}, "publish_date": "2013-05-07", "publish_status": "0", "recid": "4864", "relation": {}, "relation_version_is_last": true, "title": ["Photometric Stereo with Auto-Radiometric Calibration"], "weko_shared_id": null}