Abstract: The examples of the present invention provide a method and device for verifying a dynamic password. In the method and device, some algorithm parameters can be exchanged in public by using a DH algorithm, and thus a same key is shared safely between two entities, so as to implement the verification of the dynamic password and further improve the security of identity verification. Moreover, the method and device can be easy to use. Further, by the above technical solution, no message exchange is needed between a mobile device and a verification server, and a user does not need to pay for additional flux, so as to decrease the burden of the user and verification costs.

Abstract: Methods for generating an image mosaic are provided. In one respect, pixels saliency of a first image and a second image are determined. One salient pixel may be selected from the determined pixels saliency group of the first image and one salient pixel may be selected from the determined pixels saliency group of the second image. A mosaicking technique of the first and second image may be performed if the one salient pixel of the first image and the one salient pixel of the second image are registered successfully.

Abstract: The examples of the present invention provide a method and device for verifying a dynamic password. In the method and device, some algorithm parameters can be exchanged in public by using a DH algorithm, and thus a same key is shared safely between two entities, so as to implement the verification of the dynamic password and further improve the security of identity verification. Moreover, the method and device can be easy to use. Further, by the above technical solution, no message exchange is needed between a mobile device and a verification server, and a user does not need to pay for additional flux, so as to decrease the burden of the user and verification costs.

Abstract: Methods for generating an image mosaic are provided. In one respect, pixels saliency of a first image and a second image are determined. One salient pixel may be selected from the determined pixels saliency group of the first image and one salient pixel may be selected from the determined pixels saliency group of the second image. A mosaicking technique of the first and second image may be performed if the one salient pixel of the first image and the one salient pixel of the second image are registered successfully.

Abstract: A knowledge-based hierarchical method for detecting regions of interests (ROIs) uses prior knowledge of the targets and the image resolution in detecting ROIs. The result produces ROIs that contain only one target that is completely enclosed within the ROI. The detected ROI can conform to the shape of the target even if the target is of irregular shape. Furthermore, the method works well with images that contain connected targets or targets broken into pieces. The method is not sensitive to contrast levels and is robust to noise. Thus, this method effectively detects ROIs in common real world imagery that has a low resolution without costly processing while providing fast and robust results.

Abstract: A knowledge-based hierarchical method for detecting regions of interests (ROIs) uses prior knowledge of the targets and the image resolution in detecting ROIs. The result produces ROIs that contain only one target that is completely enclosed within the ROI. The detected ROI can conform to the shape of the target even if the target is of irregular shape. Furthermore, the method works well with images that contain connected targets or targets broken into pieces. The method is not sensitive to contrast levels and is robust to noise. Thus, this method effectively detects ROIs in common real world imagery that has a low resolution without costly processing while providing fast and robust results.