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Silhouettes are frequently extracted and described to compose inputs for learning methods in solving human pose estimation problem. Although silhouettes extracted from background subtraction methods are usually noisy, the effect of noisy inputs to pose estimation accuracies is seldom studied. In this paper, we explore this problem. First, We compare performances of several image features widely used...
This paper presents a novel learning method for precise eye localization, a challenge to be solved in order to improve the performance of face processing algorithms. Few existing approaches can directly detect and localize eyes with arbitrary angels in predicted eye regions, face images, and original portraits at the same time. To preserve rotation invariant property throughout the entire eye localization...
The features of interference striations excited by a passing ship are strongly determined by the acoustic waveguide properties. These striation position and orientation have been used for environmental inverse problems. The ship noise spectrogram can be very noisy due to measurement conditions, i.e., high ambient noise level or transmission loss noise. It is necessary to enhance the underlying interference...
Managing and protecting archaeological sites of significant cultural interest threatened by construction works is a central archaeological activity today. This paper discusses a resonance feature in worked flint (blades and flakes) that may facilitate an easier detection of submerged Stone Age sites than it is possible today. Underwater archaeology represents an important aspect of Stone Age archaeology,...
Due to the dispersive characteristics of acoustic propagation in shallow water, the broad-band sound field excited by a passing ship usually exhibits an interference structure with the form of striations in the space-frequency plane. Waveguide invariant theory is derived to interpret the striation slope and has been used for underwater inverse problems including sediment geoacoustic characterization,...
In the current robot vision tracking technology, the color is the most important information for identification and partition, because HSI model is more close to human eye perception of observing color. and the hue (H) parameter are more stable in different light conditions, so it is chose as the main parameters of this system. At the same time, In order to improve the accuracy of identification in...
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