Then, the candidate audio segments for embedding watermark are defined by using the feature points.
然后以音频特征点为标识,确定用于水印嵌入的候选音频段;
The feature points are clustered in this subspace using a graph spectral approach.
的特征点都聚集在此子空间使用的光谱的曲线图的方法。
The main methods adopted include:1) watermark synchronization is achieved by invariant local circular regions which can be generated using image locally most stable feature points;
采取的主要方法有:1)利用图像中的局部最稳定特征点生成具有几何不变性的圆形特征区域,用于水印的同步;
The main methods include:1) Invariant local feature regions are generated using locally most stable feature points of images;
采取的主要方法有:1)利用图像中的局部最稳定特征点生成具有几何不变性的局部特征区域;
Thus the complexity of correspondence points matching is decreased and the matching mistake is reduced using the area-based matching method coupled with feature-based method.
这种特征匹配与区域匹配相结合的方法,解决了同名点准确匹配难、计算量大等问题。
However, when estimating facial shapes using current facial landmarks detecting methods, the locating error of feature points around the mouth region is relatively large.
然而,用现有的人脸特征点定位算法进行人脸形状估计时,嘴巴区域特征点的定位误差相对较大。
The theory, function, feature, and key technology points of data communicator using underwater acoustic transmission are introduced in this paper.
本文介绍了水下声传输数据通讯的原理、功能作用及关键技术研究。
Then the object tracking technique is introduced into the tracking of feature points, using two 1d Kalman filter to track the two coordinates of feature points.
然后将目标跟踪技术应用于特征点的跟踪,利用两个一维卡尔曼滤波器分别对特征点的两个坐标进行预测跟踪。
Next, the captured video images are transformed into binary images, feature points are detected, and feature points are tracked using tracking technology then.
本文对采集到的视频图像采用二值化处理和区域检测等方法来提取特征点,然后再利用跟踪技术对特征点进行跟踪。
Face tracking using KLT algorithm can reduce the impact caused by the tilt of the head, only the first detection of the human eye, after all detected feature points, computing speed.
人脸跟踪使用KLT算法。能够减少人头倾斜造成的影响,只有第一次检测人眼,以后都是检测特征点,运算速度快。- Use vision。
Face tracking using KLT algorithm can reduce the impact caused by the tilt of the head, only the first detection of the human eye, after all detected feature points, computing speed.
人脸跟踪使用KLT算法。能够减少人头倾斜造成的影响,只有第一次检测人眼,以后都是检测特征点,运算速度快。- Use vision。
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