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High accuracy is required for determining the orientation of a satellite in space. Amongst the existing sensors, a star tracker provides a very high accuracy of attitude determination. When no prior attitude is available, it operates in the “Lost-In-Space (LIS)” mode. Star pattern recognition is the most crucial part of a star tracker in the LIS mode. In this paper, a novel star pattern recognition approach is proposed, which constructs a signal from the features extracted in the star image and utilizes spearman correlation for identifying the correct stars.

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5 Views

Heavy fog degrades the quality of road images in losing contrast and color fidelity, which may cause errors in stereo matching and road segmentation for advanced driver assistance systems (ADAS). Accident rates can be reduced if robust and efficient algorithms are applied for fog removal. Most studies have been conducted on this subject to date, but existing methods are not suitable for heavy haze conditions. Local darkness, under-estimation and over enhancement are always occurred after dehazing.

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6 Views

Heavy fog degrades the quality of road images in losing contrast and color fidelity, which may cause errors in stereo matching and road segmentation for advanced driver assistance systems (ADAS). Accident rates can be reduced if robust and efficient algorithms are applied for fog removal. Most studies have been conducted on this subject to date, but existing methods are not suitable for heavy haze conditions. Local darkness, under-estimation and over enhancement are always occurred after dehazing.

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16 Views

Heavy fog degrades the quality of road images in losing contrast and color fidelity, which may cause errors in stereo matching and road segmentation for advanced driver assistance systems (ADAS). Accident rates can be reduced if robust and efficient algorithms are applied for fog removal. Most studies have been conducted on this subject to date, but existing methods are not suitable for heavy haze conditions. Local darkness, under-estimation and over enhancement are always occurred after dehazing.

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47 Views

In this paper, we propose a novel and effective method for improving the accuracy of separating reflection components in a single image based on the dichromatic reflection model after calculating the diffuse reflection component by any existing method. Separating reflection components accurately is very important and useful in computer vision to detect highlight areas, which are often regarded as outliers, and to enhance image quality, especially texture, because we can control the intensity and apply a filter independently to each reflection component.

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31 Views

High-fidelity virtual content is essential for the creation of compelling and effective virtual reality (VR) experiences.

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5 Views

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