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Many human-centered image and video management systems depend on robust human detection. To extract robust features for human detection, this paper investigates the following shortcomings of co-occurrence histograms of oriented gradients (CoHOGs) which significantly limit its advantages: 1) The magnitudes of the gradients are discarded, and only the orientations are used; 2) the gradients are not...
In the process of iris classification, a new classification distance with adjustable weight which takes advantage of whole phase information to encode is proposed. The method is to use feature extraction function to do the extraction toward all iris image, which could obtain real and imaginary part iris information. Then, tangent function is used to transform extracted real and imaginary part characteristics...
Kaiser function is used to establish clear edge Kaiser filter channel which has selectivity in the frequency and direction with the characteristic of high adaptability and adjustable performance to feature the iris frequency, which is to modify the filter channel edge faintness due to the spectrum leakage when Gabor filter does the data truncation. Then complete classification of the weighted phase...
In this article we present a novel navigation approach for an autonomous robot in an unknown maze based on calibration-free visual information. On one hand, we segment images to obtain the approximate traversable region and on the other hand the lines and corners in images are also extracted to help a robot understanding the topological structure. In the experiment, our navigation approach running...
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