{"id":423468,"date":"2017-09-06T12:08:29","date_gmt":"2017-09-06T19:08:29","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=423468"},"modified":"2018-10-16T20:03:06","modified_gmt":"2018-10-17T03:03:06","slug":"calibration-radiometric-falloff-vignetting","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/calibration-radiometric-falloff-vignetting\/","title":{"rendered":"Calibration of Radiometric Falloff (Vignetting)"},"content":{"rendered":"<p>Several mechanisms may be responsible for radiometric falloff. One is the optics of the camera, which may have a smaller effective lens opening for light incident at greater off-axis angles (i.e., irradiance toward the edges of an image). Radiometric falloff also occurs naturally due to foreshortening of the lens when viewed at increasing angles from the optical axis. A third cause is mechanical in nature, where light arriving at oblique angles is partially obstructed by camera components such as the field stop or lens rim. Digital sensors may also contribute to this falloff because of angle-dependent sensitivity to light.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Several mechanisms may be responsible for radiometric falloff. One is the optics of the camera, which may have a smaller effective lens opening for light incident at greater off-axis angles (i.e., irradiance toward the edges of an image). Radiometric falloff also occurs naturally due to foreshortening of the lens when viewed at increasing angles from [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"Computer Vision - A Reference Guide","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"74-76","msr_page_range_start":"74","msr_page_range_end":"76","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"2016-02-05","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"https:\/\/link.springer.com\/referenceworkentry\/10.1007%2F978-0-387-31439-6_562","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":0,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13562],"msr-publication-type":[193721],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-423468","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-computer-vision","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2016-02-05","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"Computer Vision - 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