在人体检测技术当中，梯度方向直方图是近年来被证明比较好的一种方法。
Recently, methods basing on histogram of orientation gradient are proved to be good for human detection.
本文给出新的基于梯度方向直方图统计的权值计算方法，实现稳定的图切割。
A new weight calculation method based on the statistics of gradient direction histogram is presented here in order to robustly realize graph cut.
构建了一种新的局部梯度方向直方图，同时定义了特征点的主方向，从而提出了一种具有旋转不变性的图像配准算法。
A novel gradient orientation histogram was built using a Gaussian-weighted circular window and a major orientation to each feature point was assigned based on local image properties.
提出基于颜色—梯度方向角直方图的单人脸跟踪方法。
An approach of single face tracking based on Color-Directional Gradient Angular Histogram is proposed.
提出了颜色—梯度方向角直方图，它能同时表示图像的颜色特征与结构特征，对它的鉴别能力作了较为深入的分析。
The color and structure features of the image can be present at the same time. The identifying ability is analyzed deeply.
提出了颜色—梯度方向角直方图，它能同时表示图像的颜色特征与结构特征，对它的鉴别能力作了较为深入的分析。
The color and structure features of the image can be present at the same time. The identifying ability is analyzed deeply.
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