{"id":652,"date":"2015-12-30T09:09:47","date_gmt":"2015-12-30T11:09:47","guid":{"rendered":"http:\/\/www.inf.ufrgs.br\/profcomp_wp\/?page_id=652"},"modified":"2018-01-16T08:57:18","modified_gmt":"2018-01-16T10:57:18","slug":"cmp570","status":"publish","type":"page","link":"https:\/\/www.inf.ufrgs.br\/profcomp\/lista-de-disciplinas\/cmp570\/","title":{"rendered":"CMP570"},"content":{"rendered":"<h3><strong>T\u00f3picos Especiais em Computa\u00e7\u00e3o DLXX: Computational Photography<\/strong><\/h3>\n<p><b>Professor<\/b>: <a href=\"http:\/\/www.inf.ufrgs.br\/site\/docente\/manuel-menezes-de-oliveira-neto\/\">Manuel Menezes de Oliveira Neto<\/a><br \/>\n<b>Prerequisites<\/b>: &#8211;<br \/>\n<b>Hours<\/b>: 60 hs<br \/>\n<b>Credits<\/b>: 4<br \/>\n<b>Semesters<\/b>: First semester<br \/>\n<b>Undergraduate Enrollment<\/b>: The enrollment is offered as Special Student as well as the code: INF01050<br \/>\n<b>Page Link<\/b>: &#8211;<\/p>\n<p><strong>SUMMARY<\/strong><\/p>\n<p align=\"justify\">Conventional versus computational photography. Mathematical tools: Fourier transform, convolution, and deconvolution. Epsilon and coded computational photography. Image compositing. Advanced topics in image processing. Light fields and plenoptic cameras. Programmable cameras.<\/p>\n<p><strong>OBJECTIVES<\/strong><\/p>\n<p align=\"justify\">Familiarize students with concepts and advanced techniques in computational photography, providing a solid theoretical foundation, as well as some practical experience with the most important algorithms of the area.<\/p>\n<p><strong>PROGRAM<\/strong><\/p>\n<p align=\"justify\">1. Introduction to Computational Photography<br \/>\n2. Digital cameras<br \/>\n3. Fundamentals of geometric optics<br \/>\n4. Epsilon computational photography<br \/>\n5. Image compositing<br \/>\n6. Mathematical tools: convolution and deconvolution<br \/>\n7. Fourier transform<br \/>\n8. Wavelet transform<br \/>\n9. Coded computational photography<br \/>\n10. Edge-aware filtering and its applications<br \/>\n11. Light Fields<br \/>\n12. Plenoptic cameras<br \/>\n13. Camera arrays<br \/>\n14. Catadioptric cameras<br \/>\n15. Programmable cameras<br \/>\n16. Relightable images<\/p>\n<p><strong>EVALUATION<\/strong><\/p>\n<p align=\"justify\">Two exams (midterm and final), at least two practical assignments throughout the semester, plus a final project. The final result will be the weighted average of the midterm (20%), final (30%), assignments (20%), final project (20%), and participation (10%).<\/p>\n<p>The conversion of the weighted average to grades will be as follows:<\/p>\n<p>9.0 &lt;= average &lt;= 10 -&gt; A<br \/>\n7.5 &lt;= average &lt; 9.0 -&gt; B<br \/>\n6.0 &lt;= average &lt; 7.5 -&gt; C<br \/>\naverage &lt; 6.0 -&gt; D<\/p>\n<p>Note: Students with frequency less than 75% will FF will be assigned for students with class attendance less than 75%.<\/p>\n<p><strong>BIBLIOGRAPHY<\/strong><\/p>\n<p align=\"justify\">The bibliography for the course is primarily based on a series of recent research papers. Additional references include the following books:<br \/>\n\u2022 Digital Image Processing, 2nd edition, Gonzalez and Woods, Prentice Hall<br \/>\n\u2022 Computer Vision: Algorithms and Applications, Richard Szeliski (available on line at http:\/\/szeliski.org\/Book<br \/>\n\u2022 High Dynamic Range Imaging: Acquisition, Display and Image-Based Lighting, Reinhard et al., Morgan Kaufmann<\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00f3picos Especiais em Computa\u00e7\u00e3o DLXX: Computational Photography Professor: Manuel Menezes de Oliveira Neto Prerequisites: &#8211; Hours: 60 hs Credits: 4 Semesters: First semester Undergraduate Enrollment: The enrollment is offered as Special Student as well as the code: INF01050 Page Link: &#8211; SUMMARY Conventional versus computational photography. Mathematical tools: Fourier transform, convolution, and deconvolution. Epsilon and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":462,"menu_order":570,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages\/652"}],"collection":[{"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/comments?post=652"}],"version-history":[{"count":6,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages\/652\/revisions"}],"predecessor-version":[{"id":3510,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages\/652\/revisions\/3510"}],"up":[{"embeddable":true,"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/pages\/462"}],"wp:attachment":[{"href":"https:\/\/www.inf.ufrgs.br\/profcomp\/wp-json\/wp\/v2\/media?parent=652"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}