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The image feature matching is a critical step in photography measurement and rebuilding. Based on the Characteristics of topography measurement, a new topography feature matching algorithm is presented in this paper. In the algorithm, the stereo images to be matched are partitioned, and then the region matching process is used to these partitioned image pairs. Based on the region matching, the corner feature matching operation is then processed, which involves relaxed iteration algorithm, zero-crossing method and least squares median algorithms to eliminate the ill matching points. Three groups of topography photography measurement images are used in image matching experiment, the experiment results shows that this algorithm can effectively improve the computation efficiency and matching accuracy, thus has a wide applications in the area based on the principle of stereo vision, such as: topography photography measurement, urban planning, etc.

In this work, a fundamental integral equation in statistical thermodynamics, the Ornstein-Zernike (OZ) equation, is solved analytically for the first time for arbitrary intermolecular potentials with a hard core. The proposed solution which combines the perturbation method and the Hilbert transform is applied for both pure fluids and mixtures. Subsequently, the radial distribution function (RDF), which is a crucial function to determine the structure and thermodynamics of fluids, is obtained for a number of typical fluids including the two well-known square-well (SW) and Lennard-Jones (LJ) fluids. RDFs for the SW and LJ fluids are successfully compared with computer simulation data, and the thermodynamic properties derived from these RDFs are found to be better than or comparable to other liquid theories. Furthermore, a two-Yukawa function is suggested in this work to map the LJ potential. The mapping successfully brings the calculations of the structure and thermodynamics of the LJ fluid in a straightforward and analytical manner. The thermodynamics of LJ mixtures are developed analogously. The developed expressions are utilized to describe various types of behavior of LJ mixtures, including vapor-liquid and liquid-liquid equilibria. The description surpasses considerably other liquid theories. The applicability of the present equation of state (EOS) for simple real fluids is also investigated and the superiority of the present EOS over other empirical equations is evidenced by yielding better thermodynamic consistency. Accompanying the above development, a new strategy for the inverse Laplace transform is proposed to obtain RDF in a completely explicit and analytical manner. A new version of RDF for both pure hard spheres and hard-sphere mixtures is developed based on the first-order OZ solution obtained. A new approximation is suggested to improve the prediction of RDF of the LJ fluid. A RDF for a nonspherical molecule, hard-sphere chain, is also analytically obtained.

In the real-time panoramic images processing, omni-directional vision sensors (ODVS) is a fast and reliable means of visual information collection, but current ODVS have a dead angle. According to the average angular resolution for two-catadioptric ODVS imaging theory, a new design of ODVS structure and catadioptric mirror is presented in this paper to overcome the defect. The reflectors curvilinear numeric solutions of this catadioptric mirror is obtained by the fourth order Runge-Kutta algorithm, and the dead angle part of the panoramic images that normal ODVS canpsilat acquire is acquired by a combine-lens of a wide-angle lens and a normal ODVS. The experimental results show that the ODVS presented in this paper can achieve a true omni-directional surveillance, and have a good applicational value in the fields such as intelligent omni-directional video surveillance, dynamic image understanding and computer vision.

In order to achieve the real-time, convenient, automatic and intelligent 3D vision measurement, this paper proposes a 3D vision measurement method based on binocular omni-directional vision sensor (ODVS), which can get the 3D panoramic image in real-time, this paper considers the human eyes as the center of vision space. At the process of gathering, processing, describing and expressing of data, this paper adopts a kind of uniform coordinate based on Gauss spherical coordinates, adopts a kind of design using ODVS having average angle resolution, and combines two ODVS having the same parameters into one. In this paper, we present the design method and experimental results. The experimental results indicate that our research results, can simplify the complexity of 3D visionpsilas measurement, can make feature extraction more convenient, can make the realization of the match of 3D images easier, and finally achieves a 3D vision measurement which is high efficient, real-time and accurate. The paper has important value on stereoscopic 3D measurement and 3D image reconstruction.

To effectively realize the image feature matching for geomorphic reverse measurement and rebuilding, a new matching scheme is presented, where the SIFT method are adopted to implement initial geomorphic image matching by going through five stages: scale-space construction, scale-space extrema detection, orientation assignment, keypoint descriptor and feature vector matching. Then, in order to eliminate the wrong matching features existing in the initial matching process, RANSAC algorithm is applied. The experimental results show that this algorithm can effectively improve the accuracy and efficiency of geomorphic image matching.

One of the most important aspects of Gerontechnology is to support the elder who lives alone at home. According to the elder's relatively obvious and stable routine of daily activities, this paper proposes a statistical approach based on machine vision to build an Elder Indoor and Outdoor Activity Model (EIOAM) through analysis of the elder's daily activity data in the main activity places and the entry/exit places collected by the Omni-directional Vision Sensor (ODVS). Since the elder's daily routine varies with the alternating of seasons and growing of age, the model should learn the routine of activities adaptively. This model is able to detect and predict the abnormal activities of the elder through detecting the significant deviations of the activity data in spatial and temporal aspects. By using this model, one can not only detect the abnormal activities happened in sight of the vision sensor (indoor), but also out of sight (outdoor). Thus provides a new methodology for the remote home care of the elder who lives alone.

Omni-directional vision sensor (ODVS) is one of important components of sensor networks. Design of ODVS, embedded Linux ODVS, video server of ODVS, and software development of ODVS applications are studied in this paper. In addition, the applications of multi-object automatic tracking systems based on ODVS are described in details. Moreover, experimental results are proposed. This research is significant for sensor networks to be efficiently and effectively implemented.

China is running to the aging society. In China, the number of the elder’s families of empty nest presents an ascendant trend. It has caused various kinds of demands of the service for spiritual consolation. This article introduces how to distinguish different emotion form the sound sample by affective computing and brings forward the concept of spiritual consolation object. Elder can communicate with this object when they need spiritual consolation. With this, we can set up an interchange environment considering people first, which is intelligent and understandable between children and the elder.

Water quality monitoring is of great importance in water safety protection and water emergency supervision. Water quality can be reflected by aquatic creatures' ecological status, especially fish's, directly and synthetically. Therefore, aquatic creatures' ecological status can be used to monitor water quality safety. This paper presents an real-time water quality monitoring technology in which computer image processing technique, network communication technique and observation of aquatic creatures' ecological status, such as small fish's, technique are used. A machine vision based biological water quality monitoring equipment is proposed. It monitors water quality safety by observing fish's biological status. This new water quality monitoring technology overcomes the shortages of existing water quality monitoring technology, which is costly, and inapplicable to large-scale long-term and on-line water quality monitoring. Thus, it provides an economical and effective method for water quality monitoring, water safety protection and water emergency supervision.

One kind of JSP automatic generation technology is introduced here, which is based on mapping mechanism. Supported by this technology, the designers who don't know JSP can participate in JSP application development. According to the mapping information setting up in advance, the system produces JSP file automatically from the HTML file. The main goal of this technology is that the ordinary Web designers who don't know programming can effectively participate in the Web application development which is based on JSP technology

The resist filling behavior is crucial to the quality of the final imprinted pattern in micro/nanolithography. To obtain resist flow fields, a three-dimensional (3-D) defocusing digital particle image velocimetry (DDPIV) system was set up to realize the visualization of the resist filling process. Three-dimensional motion trajectories and velocity vectors of tracer particle sets were calculated to characterize this microscale flow phenomena. The results show that the particles’ maximum velocity is located in the region below the mold corner, and the region leans to the mold cavity. Meanwhile, the squeezed resist will first move along the mold moving direction, and then fills the mold cavity in an upward moving tendency when it passes through the mold corner. The feasibility of using the DDPIV system to investigate the resist filling behavior was confirmed. The results will help to understand the resist filling behavior and provide useful instruction for the selection of process parameters and mold structure optimization.

In microimprint lithography, the resist deformation directly influences the quality of the final imprinted patterns. The resist velocity field was investigated through numerical simulations and visualization experiments. A numerical model based on the computational fluid dynamics was built to predict the resist filling behavior. Meanwhile, a 3D defocusing digital particle image velocimetry (DDPIV) system was developed to achieve the microscale velocity field of resist. The spatial coordinates of the fluorescent tracer particles were derived from their defocused images, and then the three-dimensional particle field and velocity field inside the resist were obtained according to the particles' spatial coordinates and time interval recording the particle images. The investigation of the velocity field, including the horizontal and vertical velocity history, was performed to help describe the filling mode and flow behavior of the resist. The experimental results agreed well with the simulation prediction, which justified the use of the micro DDPIV system to investigate the resist filling behavior and verified the numerical model. The combined effect of the mold's local asymmetric geometries and resist's initial thickness on its own deformation was further analyzed by numerical simulation.