• Then, the candidate audio segments for embedding watermark are defined by using the feature points.

    然后音频特征标识,确定用于水印嵌入候选音频

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  • The feature points are clustered in this subspace using a graph spectral approach.

    特征聚集子空间使用光谱曲线图方法

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  • 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;

    采取主要方法1利用图像中的局部稳定特征生成具有几何不变性圆形特征区域用于水印同步

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  • The main methods include:1) Invariant local feature regions are generated using locally most stable feature points of images;

    采取主要方法1利用图像中的局部稳定特征生成具有几何不变性局部特征区域

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  • 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.

    这种特征匹配区域匹配相结合方法,解决了同名准确匹配难、计算大等问题。

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  • However, when estimating facial shapes using current facial landmarks detecting methods, the locating error of feature points around the mouth region is relatively large.

    然而现有人脸特征定位算法进行人脸形状估计嘴巴区域特征点的定位误差相对较大。

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  • The theory, function, feature, and key technology points of data communicator using underwater acoustic transmission are introduced in this paper.

    本文介绍了水下传输数据通讯原理功能作用关键技术研究。

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  • 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.

    然后目标跟踪技术应用特征跟踪,利用卡尔滤波器分别特征点的两个坐标进行预测跟踪

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  • Next, the captured video images are transformed into binary images, feature points are detected, and feature points are tracked using tracking technology then.

    本文对采集到视频图像采用值化处理区域检测等方法来提取特征,然后再利用跟踪技术对特征点进行跟踪。

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  • 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影响只有第一次检测人眼以后都是检测特征运算速度快。- Use vision。

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  • 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影响只有第一次检测人眼以后都是检测特征运算速度快。- Use vision。

    youdao

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