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The technology of panoramic image construction is widely used in many conditions. As the increasingly demand of monitoring system application, the attribute of real-time is more important during the panoramic construction. This paper describes a method of fast building panoramic video and output frames in real-time. SURF algorithm is employed to extract features and a new method is developed to eliminate...
In this paper we present a novel symmetry auto-detection approach which is used for the symmetry detection of the objects in images. Rather than relying on gradients and pixel matching of an image, symmetry can be automatically detected by using corner detection on a symmetry function which is proposed in Hsu's paper, and a result will be shown to demonstrate the probability that the object in the...
How to segment moving objects accurately and rapidly is one of the most important problems in computer vision. In this paper, we discuss two methods studied previously for segmenting moving objects based on graph cut. One method employs graph cut to segment objects automatically, and the other uses the graph cut and the C-V model (simplified Mumford-Shah model) to segment objects. As well, we present...
In this article, an integrated method, named GC-CV, was developed and applied to image segmentation. The proposed method combines graph cut method and the simplified Mumford-Shah model (C-V model), and takes the advantages of both. In this paper, the proposed GC-CV method is put to test in its three different operational modes. The first mode is the segmentation of binary images using GC-CV directly...
Automatic image annotation (AIA) is a promising way to improve the performance of image retrieval. In this paper, we propose a novel AIA scheme based on multiple-instance learning (MIL). By introducing the minimum reference set (MRS) into MIL (denoted by MRS-MIL), the positive instances (i.e. regions in images) embedded in the positive bags (i.e. images) can be picked out via reliable inferring for...
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