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Disparity estimation has been investigated for decades. Fully automatic methods have problems in texture-less regions, around object boundaries and in occlusions regions. In this paper, we exploit user input to address these problematic areas interactively. By drawing contours and polygons, we achieve sharp disparity discontinuities and smooth disparity planes in the disparity maps. Annotations are tracked quite accurately over a number of frames. Experimental results on Middlebury data set and our own stereo video suggest that the accuracy of disparity maps can be improved significantly with limited user input.

The chief characteristics of an audio class D (PWM) power amplifier are higher efficiency and larger distortion that other amplifiers. This paper discusses the principle of reducing distortion for class D amplifiers by using a feed-forward error-null technique, and provides an experimental circuit. The theoretical analysis and experimental results show that the technique is effective in reducing the distortion of class D power amplifiers: the distortion has decreased from 1% to 0.1%, the output power of the amplifier is 10 watt, the efficiency is 90% and the prospect is good.