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Special Sensing System for Computer Vision

Dept. of Computer Science (May 4, 2017)

Based on the request of the producer(s),
this video can be viewed on HKBU campus only.

SEMINAR SERIES : Distinguished Lecture

MAJOR SPEAKER : Yagi, Yasushi
LENGTH : 72 min.
ACCESS : This video can be viewed on HKBU campus only
SUMMARY : The studies in our laboratory focus on theory and applications related to computer vision and media processing. Some of the major research projects undertaken in the laboratory involve the creation of novel optical sensing systems including the omni-directional vision system, and the development of algorithms for human sensing, human behavior analysis, gait analysis, geometrical analysis and computational photography.

Especially, we have been studying creation of novel optical sensing systems for more than 25 years. Today, I will introduce several special sensing systems for computer vision.

It is desirable to engineer a small camera with a wide field of view (FOV) because of current developments in the field of wearable cameras and computing products, such as action cameras and Google Glass. However, typical approaches for achieving wide FOV, such as attaching a fisheye lens and convex mirrors, require a trade-off between optics size and the FOV. We have proposed camera optics that achieve a wide FOV, and are at the same time small and lightweight. The proposed optics are a completely lensless and catoptric design. They contain four mirrors, two for wide viewing, and two for focusing the image on the camera sensor. First, I will briefly introduce catadioptric camera system such as standard omnidirectional camera using hyperboloidal mirror, and show its characteristics. Then, I will talk about our prototype design of our lensless super wide view optics.

Measurement of transparent or translucent objects is an important technology with broad potential applications. In the computer vision field, computational photography approaches that combine optical design and computational algorithms to obtain informative images have been actively developed to enhance and restore images. However, it remains difficult to recover invisible information contained within transparent or translucent objects because light penetrates and scatters inside the object, heavily degrading observed images. Second my talk is about our special sensing system using either spatially or temporally modulated light. This optics, for example, can remove scattering lights from observation, by projecting high frequency patterns. I will show several recent research on the topics.  [Go to the full record in the library's catalogue]

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