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That algorithm, however, is for analyzing high-quality visual data in familiar settings. Because the Bingham distribution is a tool for reasoning probabilistically, it promises even greater advantages in contexts where information is patchy or unreliable. In ongoing work, Glover is using Bingham distributions to analyze the orientation of pingpong balls in flight, as part of a broader project to teach robots to play pingpong. In cases where visual information is particularly poor, his algorithm offers an improvement of more than 50 percent over the best alternatives.
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