|Stochastic Systems Group|
Professor Leonard McMillan
MIT Laboratory for Computer Science
Computer Graphics Group
In this talk, I will present current research in the rapidly developing field of image-based rendering. Image-based rendering describes a new class of computer graphics techniques where collections of images, rather than models of surface geometry and material properties, provide the underlying scene representation. Image-based rendering fundamentally recast the computational approach to image synthesis from a problem of simulation to a problem of signal reconstruction.
I will discuss two methods for synthesizing novel views of a scene given some set of images. The first method does not rely on any underlying structural model or image correspondences to synthesize new views. Instead, it treats a collection of cameras as a synthetic-aperture camera array with a natural and intuitive user interface. The second method that I will describe uses an approximate geometric representation that can be rapidly acquired and computed. When this representation is combined with images, it achieves results that are comparable to an exact geometric model. This method employs, what is among the simplest and most robust of computer vision techniques. Finally, I will discuss hybrid systems in which approximate structural models describe parts of an environment while the remaining scene elements are models using no structural description.
I will conclude with a discussion of the many opportunities presented by image-based rendering for new synergies between the fields of computer graphics and computer vision. I will suggest how many of the intermediate results from computer vision (intermediate in the sense that they do not directly result in a description of three-dimensional structural) can be directly applied to the problems of rendering novel viewpoints. Furthermore, I will discuss how new image-based rendering techniques provide a new set of tools for the efficient visualization and exploration of computer vision results.
Leonard McMillan is an Associate Professor in the Electrical Engineering and Computer Science department at the Massachusetts Institute of Technology. He is a member of the MIT Laboratory for Computer Science and a co-leader of the MIT Computer Graphics Group. Leonard received his Bachelors ('83) and Masters ('84) degrees in Electrical Engineering from Georgia Institute of Technology. Leonard received his Ph.D. in Computer Science from the University of North Carolina at Chapel Hill ('97). Leonard has been a Member of Technical Staff at AT&T Bell Laboratories where he worked in the Digital Signal Processing Architecture Group and was a co-architect of the AT&T Pixel Machine. Leonard has also worked as a Senior Staff Engineer at Sun Microsystems where he helped develop several visualization and multimedia products.
Leonard is a pioneer in the field of image-based rendering. Image-based rendering is a new approach to computer graphics where scenes are rendered directly from a collection of reference images rather than a geometric model. Leonard is also interested in a wide range of related topics including computer graphics rendering, imaging methods and technologies, three-dimension display technologies, computer graphics hardware, and the fusion of image processing, multimedia, and computer graphics.
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