earticle

영어

Shape template matching is an important approach in object detection and recognition. In this paper, we propose a fast and novel method to represent edge maps by using salient line segments, which is used to detect objects based on shape template matching. Firstly, image edges are computed and, on these image edge fragments, corner points are extracted. Then, a parabola model is proposed to represent image edges. Secondly, based on salient points, a directional chamfer matching framework is used to compute the similarity between template image and corresponding locations in target image. Our method has two main contributions. One is we apply the way to represent contours with salient points to the framework, which is used to detect the target rapidly and accurately. The other is that our method can directly operate on real images, which improves its practicability. A series of experiments are performed on two benchmark data sets. Comparing with previous work, our method is much more time-saving and memory-saving.