dc.contributor.author | Raskar, Ramesh | en_US |
dc.coverage.temporal | Fall 2008 | en_US |
dc.date.issued | 2008-12 | |
dc.identifier | MAS.963-Fall2008 | |
dc.identifier | local: MAS.963 | |
dc.identifier | local: IMSCP-MD5-62894434891a981be8f62583c3d18ea9 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/69823 | |
dc.description.abstract | A computational camera attempts to digitally capture the essence of visual information by exploiting the synergistic combination of task-specific optics, illumination, sensors and processing. In this course we will study this emerging multi-disciplinary field at the intersection of signal processing, applied optics, computer graphics and vision, electronics, art, and online sharing through social networks. If novel cameras can be designed to sample light in radically new ways, then rich and useful forms of visual information may be recorded — beyond those present in traditional photographs. Furthermore, if computational process can be made aware of these novel imaging models, them the scene can be analyzed in higher dimensions and novel aesthetic renderings of the visual information can be synthesized. We will discuss and play with thermal cameras, multi-spectral cameras, high-speed, and 3D range-sensing cameras and camera arrays. We will learn about opportunities in scientific and medical imaging, mobile-phone based photography, camera for HCI and sensors mimicking animal eyes. We will learn about the complete camera pipeline. In several hands-on projects we will build physical imaging prototypes and understand how each stage of the imaging process can be manipulated. | en_US |
dc.language | en-US | en_US |
dc.rights.uri | Usage Restrictions: This site (c) Massachusetts Institute of Technology 2012. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license") unless otherwise noted. The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. | en_US |
dc.subject | signal processing; applied optics; Computer graphics; computer vision; online photo; digital photography; digital imaging; visual art image processing | en_US |
dc.subject | image sensor | en_US |
dc.subject | image reconstruction | en_US |
dc.subject | medical imaging | en_US |
dc.subject | mblog | en_US |
dc.subject | biomimetics | en_US |
dc.subject | lens | en_US |
dc.subject | spectrum | en_US |
dc.subject | multi-spectral | en_US |
dc.subject | 3D imaging | en_US |
dc.subject | thermal imaging | en_US |
dc.subject | high-speed imaging | en_US |
dc.subject | polarization | en_US |
dc.title | MAS.963 Special Topics: Computational Camera and Photography, Fall 2008 | en_US |
dc.title.alternative | Special Topics: Computational Camera and Photography | en_US |