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.
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。
Feature space imitates the model of biological complex neurons in primary visual cortex, and it is constructed through orientation histogram in feature's local area.
特征空间则模仿了灵长类动物的视觉神经元模型，以区域图像梯度直方图的方式建立。
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