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In this research, we used the simple" /> <title>(PDF) Recovering Partial Shape from Perspective Matrix Using Simple Zoom-Lens Camera Model | okada yoshihiro - Academia.edu</title> <link rel="canonical" href="https://www.academia.edu/84208092/Recovering_Partial_Shape_from_Perspective_Matrix_Using_Simple_Zoom_Lens_Camera_Model" /> <script async src="https://www.googletagmanager.com/gtag/js?id=G-5VKX33P2DS"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-5VKX33P2DS', { cookie_domain: 'academia.edu', send_page_view: false, }); gtag('event', 'page_view', { 'controller': "single_work", 'action': "show", 'controller_action': 'single_work#show', 'logged_in': 'false', 'edge': 'unknown', // Send nil if there is no A/B test bucket, in case some records get logged // with missing data - that way we can distinguish between the two cases. // ab_test_bucket should be of the form <ab_test_name>:<bucket> 'ab_test_bucket': null, }) </script> <script> var $controller_name = 'single_work'; var $action_name = "show"; var $rails_env = 'production'; var $app_rev = '9387f500ddcbb8d05c67bef28a2fe0334f1aafb8'; var $domain = 'academia.edu'; var $app_host = "academia.edu"; var $asset_host = "academia-assets.com"; var $start_time = new Date().getTime(); var $recaptcha_key = "6LdxlRMTAAAAADnu_zyLhLg0YF9uACwz78shpjJB"; var $recaptcha_invisible_key = "6Lf3KHUUAAAAACggoMpmGJdQDtiyrjVlvGJ6BbAj"; var $disableClientRecordHit = false; </script> <script> window.require = { config: function() { return function() {} } } </script> <script> window.Aedu = window.Aedu || {}; window.Aedu.hit_data = null; window.Aedu.serverRenderTime = new Date(1732997673000); window.Aedu.timeDifference = new Date().getTime() - 1732997673000; </script> <script type="application/ld+json">{"@context":"https://schema.org","@type":"ScholarlyArticle","abstract":"In the 3D shape recovering using the perspective matrix, the calibration pattern needed to be contained in the input images. Therefore, it was difficult to use the images using zoom for 3D shape recovering. In this research, we used the simple zoom-lens camera model. And we realized the camera calibration in the state where the calibration pattern is not contained in the input images. 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needed to be contained in the input images. Therefore, it was difficult to use the images using zoom for 3D shape recovering. In this research, we used the simple zoom-lens camera model. And we realized the camera calibration in the state where the calibration pattern is not contained in the input images. 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Therefore, it was difficult to use the images using zoom for 3D shape recovering. In this research, we used the simple zoom-lens camera model. And we realized the camera calibration in the state where the calibration pattern is not contained in the input images. 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