直方图方法常用于计算机视觉领域,好的直方图比较算法能够有效地提高检索的性能.但直方图比较算法在三维模型检索中的应用则较少得到研究.应用方向梯度直方图提取三维模型的直方图特征,然后给出一种直方图比较算法用于三维模型检索.实验结果表明:该直方图比较算法对某些种类的模型的检索性能比已有的算法更优.
Histogram-based methods are widely used in computer vision and there are many histogram comparison algorithms to increase the performance of information retrieval.However,histogram comparison algorithms for 3D model retrieval are seldom studied.Therefore,we use histogram of oriented gradients to extract features of 3D models and then propose a histogram comparison algorithm for 3D model retrieval.The experimental results show that the histogram comparison algorithm does improve the retrieval performance of some classes of models from Princeton Shape Benchmark.