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Most of the disabled spacecraft are spun, which are dangerous to other normal work spacecraft. Therefore, the disabled spacecraft need to be cleared and the first step is de-tumbling its angular velocity to an acceptable value. This paper investigates the dynamics and controller design of electromagnetic de-tumbling, analyzes the effects of the Earth's magnetic field, the inclination and the orbit...
Automatically predicting age group and gender from face images acquired in unconstrained conditions is an important and challenging task in many real-world applications. Nevertheless, the conventional methods with manually-designed features on in-the-wild benchmarks are unsatisfactory because of incompetency to tackle large variations in unconstrained images. This difficulty is alleviated to some...
The rapid development of mobile games highlights the power consumption problem in the mobile platform. Most of the power saving techniques use the prediction-based dynamic voltage frequency scaling (DVFS) scheme. However, the prediction could be inaccurate resulting from the frequent interactions of user when playing games. We have observed that frame rate is near-linear to CPU frequency, but there...
Affine transformation detection can be used in many computer vision and other applications. This paper presents a new method for affine transformation detection. The state-of-the-art methods are mainly divided into two classes. One class is based on complicated descriptors. But this kind of methods need a lot of time to establish and matching the complicated descriptors. The second class is based...
Affine-invariant feature matching plays an important role in many robot vision applications, such as robot visual navigation, object detection, visual tracking and visual SLAM, etc. In the early stages, invariant keypoints are used to detect the affine transformation. But the accuracy is very low. In recent years, some people introduce SIFT method into robot vision field, which greatly enhances the...
Affine-invariant feature matching plays an important role in many robot vision applications, such as robot visual navigation, object detection, visual tracking and visual SLAM, etc. In the early stages, invariant keypoints are used to detect the affine transformation. But the accuracy is very low. In recent years, some people introduce SIFT method into robot vision field, which greatly enhances the...
While local patches recognition is a key component of modern approaches to affine transformation detection and object detection, existing learning-based approaches just identify the patches based on a set of randomly picked and combined binary features, which will lose some strong correlations between features and can not provide stable and remarkable identification ability. In this paper, we proposed...
Event relationship extraction is a new research domain which has attracted more and more attentions. It is because that the relationships among different events can provide a lot of important information on special fields such as national defense, crime-solving or anti-terrorism. But there are innumerous event description Web pages on the Internet and the relationship among them is perplexing, so...
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