Wireless communication and cloud are extremely popular because of its convenience, portability and immediacy. As the first line of defense for mobile communication with intelligent devices, identity authentication plays a more and more important role for system security and communication privacy. In order to enhance the security and privacy of wireless communication, this paper investigates an anonymous password-based remote user authentication and key exchange scheme for intelligent devices. Firstly, the scheme achieves secure mutual authentication while preserving user privacy. Secondly, client puzzle is employed to resist denial of service attacks and establish session keys with forward secrecy. Finally, the analysis demonstrate that our scheme works effectively and resists common known attacks, while maintaining the efficient performance for mobile users.
Edge accurate dense disparity estimation is of great importance to applications, such as augmented reality where the geometry relationships among objects in a scene need to be presented precisely. Binocular stereo is a promising approach to get 3D depth information of a real scene from 2D images, but faces the issue of difficult to achieve high accurate disparity edges with reasonable computation complexity. A depth edge preserving dense stereo matching method is presented in this paper aiming to alleviate this problem. By taking a sparse-to-dense route for disparity estimation, depth edges corresponding to object boundaries are distinguished from the texture edges based on sparse disparities which can be obtained efficiently. With a designed disparity filling strategy, these extracted edges are used to refine the dense disparities and align the depth discontinuity edges with corresponding object boundaries. Disparities obtained by this work can faithfully conform to the scene geometry recorded in the input images only with a relative small increase about 13% in computational complexity. The effectiveness of the proposed method is verified through experiments and contrastive analysis.
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