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Computational visual attention models are a topic of increasing importance in computer understanding of images. Most existing attention models are based on bottom-up computation that often does not match actual human attention. To address this problem, we propose a novel visual attention model that is learned from actual eye tracking data. We use a Markov chain to model the relationship between the...
Mosaic panorama technique is an active area of research. Image mosaic is brought for the limitation of camera visual angle, which is impossible to shoot a panorama image once. If a medical video sequence is recorded with a rotational camera, it is possible to reconstruct a panorama of the scene background. Generally, the significances of this synthetic panorama can be explained as follows: Firstly,...
This paper analyzes customer loyalty and distinguishes from the dimensions of behavior and attitude, and then the author gives the way to establish and cultivate loyal customers with targeted methods so as to facilitate companies to accurately locate the source of their profits and obtain long-term development.
The camera motion that is caused by the moving camera is one of two types of video motion. The feature-based techniques are known to perform more robust with large motion. The research of such a robust feature-based camera motion estimation method is necessary and possible. In this paper, a robust feature-based camera motion estimation method is proposed. The algorithm uses the motion vectors obtained...
In an ideal radiotherapy procedure, the treatment system would continuously adapt the radiation beam delivery to changes in the tumor position. The development of such a medical image-guided tracking capability is necessary. In this paper, an efficient medical image tracking algorithm based on motion estimation is proposed. The algorithm uses the motion vectors obtained from a set of selected points...
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