Imagine a robot which is able to visualize and interpret the purpose based on the vision. That will be one of the major breakthroughs in the field of robotics. To improve robots ability to gauge object orientation, Jared Glover, a graduate student in MIT's department of electrical engineering and computer science, is exploiting a statistical construct called the Bingham distribution. This algorithm is for analysing high-quality visual data in familiar settings. Glover has also developed a suite of software tools that greatly speed up the calculations involving them.
One reason the Bingham distribution is so useful for robot vision is that it provides a way to combine information from different sources. It will help to determine an objects orientation entails trying to superimpose a geometric model of the object over visual data captured by the camera. More news on
http://web.mit.edu/newsoffice/2013/better-robot-vision-1007.html
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