Abstract: Biological and visual perception studies show that visual attention mechanism enables human to select several salient regions likely to contain interesting objects in the scene in very short time and then analyze the image very quickly.The algorithm in this paper firstly imitates the characters of the human vision system and uses the bottom-up visual attention algorithm to select several salient locations of the large field image based on the image’s low-level features such as contrast，orientation，color，texture and intensity.And then the locating of the object based on the scale and rotation invariant log-polar transform is carried out at the salient regions in order of decreasing saliency.The proposed algorithm can be used to quickly detect the object with large scale and rotation variation in large field image.It also can dramatically decrease the computation complexity without the lost of the locating precision.The experimental results show the algorithm is rather fast and precise.