为更加深刻地刻画手绘草图中的形状主题,并使特征描述方法具有一定的平移、缩放和旋转不变性,提出了一种基于熵和势能的手绘草图特征描述方法.该方法首先提取手绘草图的关键点,并对每个关键点的周围区域进行分块,计算其信息熵;然后根据关键点像素在手绘草图对象中的位置,计算其像素势能,从而获得融合了熵和势能的关键点特征描述向量;最后将训练集中所有图像的全部关键点特征描述向量聚类形成视觉码书,每一幅手绘草图均表示成基于码书的特征描述向量.实验结果表明,文中方法能较好地描述手绘草图的形状特征.
In order to describe the shape of freehand sketch more accurately, a novel feature description method for freehand sketch, which is of certain translation invariance, scale invariance and rotation invariance, is proposed by combining entropy and potential energy. First, in this method, the key contour points in freehand sketch are extracted, and the information entropy of each key point is computed by dividing the region around the point into several sub-regions. Then, according to the spatial position of key point in the object of freehand sketch, the potential energy of key contour point is computed, from which the descriptor vector for the key contour point is obtained in combination with entropy and potential energy. Finally, all the descriptor vectors of key contour points in all training freehand sketches are clustered to construct a visual code book, on the basis of which a freehand sketch is described as a feature vector. Experimental results verify the effectiveness of the proposed method.