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AIC Seminar Series

Visual and Auditory Spatial Sensing

Stan BirchfieldQuindi Corporatio

Date:  2002-10-17 at 15:00

Location:  EJ228  (Directions)

   Abstract

Humans rely predominantly upon their eyes and ears to gather information about the three-dimensional world, such as the shapes and locations of objects. It is not surprising, then, that the two primary types of data for automatic sensing in 3D are also video and audio. In this talk I will discuss the two classic problems of stereo vision and acoustic localization. We will see that both problems share much in common, although they differ in many ways as well. For both problems, I will describe some of the challenges involved, as well as the latest research trends. Stereo vision experienced a significant breakthrough a few years ago when algorithms based on graph cuts were shown to be able to minimize functionals over the entire image. I will describe these techniques and some extensions that have been added by myself and others, as well as point out situations in which the graph-cut algorithms fail. A similar breakthrough has occurred in acoustic localization, where researchers have recently discovered that all the signals can be taken into account in an efficient manner, thus replacing the previous sub-optimal and time-consuming methods. I will describe our latest work on this problem, including a unifying framework that encompasses the recently discovered efficient method along with the Bayesian formulation and the traditional beamforming and time-delay-estimation methods. In addition, I will show how the algorithms can be used to detect multiple simultaneous sound sources. Together, this work on stereo vision and acoustic localization brings us a little closer toward achieving the goal of robust spatial sensing.

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