This paper describes the application of a computational vision sensor to active binocular tracking. The sensor outputs are used to control the vergence angles of the two cameras a...
Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this a...
An integral part of FFT computation are the twiddle factors, which, in software implementations, are typically stored into RAM memory implying large memory footprint and power cons...
The application of pattern recognition (PR) techniques, artificial neural networks (ANNs), and nowadays hybrid artificial intelligence (AI) techniques in manufacturing can be regar...
We present a parameter free approach that utilizes multiple cues for image segmentation. Beginning with an image, we execute a sequence of bottom-up aggregation steps in which pix...