A VLSI sorting image sensor: global massively parallel intensity-to-time processing for low-latency adaptive vision
نویسندگان
چکیده
منابع مشابه
A VLSI sorting image sensor: global massively parallel intensity-to-time processing for low-latency adaptive vision
This paper presents a new intensity–to–time processing paradigm suitable for VLSI computational sensor implementation of global operations over sensed images. Global image quantities usually describe images with fewer data. When computed at the point of sensing, global quantities result in a low– latency performance due to the reduced data transfer requirements between an image sensor and a pro...
متن کاملA VLSI Sorting Image Sensor: Global Massively Parallel Intensity-to-time Processing For Low-latency - Robotics and Automation, IEEE Transactions on
This paper presents a new intensity-to-time processing paradigm suitable for very large scale integration (VLSI) computational sensor implementation of global operations over sensed images. Global image quantities usually describe images with fewer data. When computed at the point of sensing, global quantities result in a low-latency performance due to the reduced data transfer requirements bet...
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The need for low-latency vision systems is growing: high speed visual servoing and vision–based human computer interface. In this paper we present a new intensity–to–time processing paradigm suitable for low–latency massively parallel global computation over fine–grained data such as images. As an example of a low–latency global computation, we have developed a VLSI sorting computational sensor...
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ژورنال
عنوان ژورنال: IEEE Transactions on Robotics and Automation
سال: 1999
ISSN: 1042-296X
DOI: 10.1109/70.744603