An important feature of shape description is the contour curves of object. To improve the efficiency of recognition, dominant points are usually used to represent the contour.
描述形状的重要特征是物体的轮廓曲线，为了提高识别效率，通常使用控制点表达轮廓。
In gait recognition, effective extraction of human contour is a prerequisite of subsequent processing including feature extraction, feature expression, target classification and target recognition.
在步态识别中，完整的人体轮廓是特征提取、特征表达、目标分类与目标识别等后期处理的前提条件。
An object recognition algorithm based on segmented-smoothing contour is proposed. The contour is divided into two kinds of zones by curvature:feature zones and non-feature zones.
提出了一种基于分段轮廓平滑的目标识别算法。首先通过曲率将轮廓划分为特征区域和非特征区域；
应用推荐