Welcome to my share of the Internet, my home in the electronic world.
| Home | Publications | Research |
| Hi, I am Sujit, a PhD. candidate in the
Department of Computer Science at Columbia University.
My advisor is Prof. Shree Nayar.
I am affiliated with the Columbia Automated Vision Environment (CAVE).
Welcome to my share of the Internet, my home in the electronic world. | |
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Flexible Depth of Field Photography, ECCV 2008, PAMI [ PDF (ECCV) ] [ PDF (PAMI Preprint) ] [ Project Page ] | |
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Priors for Large Photo Collections and What they Reveal about Cameras, ECCV 2008 [ PDF ] [ Slides ] [ Project Page ] | |
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Flexible Mirror Imaging, ICCV Workshop on Omnidirectional Vision: OMNIVIS 2007 The field of view of a traditional camera has a fixed shape, which limits how we compose scene elements into an image. We present a novel imaging system with a flexible field of view - the size and shape of the field of view can be varied to achieve the desired scene composition. [ PDF ] [ Project Page ] [ Slides ] [ Slides w/ Videos] | |
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Multiview Radial Catadioptric Imaging for Scene Capture, SIGGRAPH 2006 A picture taken by a conventional camera captures the scene from the camera's single viewpoint. In many applications in computer vision and computer graphics, it is desirable to capture the scene from a large number of viewpoints. In this project, we explore a class of imaging systems, called radial imaging systems, that capture a scene from circular loci of virtual viewpoints, in addition to the viewpoint of the camera. We have built radial imaging systems that can, from a single image, recover the frontal 3D structure of an object, generate the complete texture map of a convex object, and estimate the parameters of an analytic BRDF for an isotropic material. In addition, one of our systems can recover the complete geometry of a convex object by capturing only two images. [ PDF ] [ Project Page ] [ Slides ] [ Slides w/ Videos] |
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