Advanced Materials Research Vols. 268-270

Abstract: Fluid animation based on physical model has produced a number of new research achievements ,and it has also become a hot spot of research in the field of computer animation in recent years.This paper presents a survey on the development of fluid simulation animation based on physical model,with Summarizing all kinds of methods adopted in the research direction.The methods applied mainly include Euler method and Lagrangian method which are compared in this paper. Finally ,this paper introduces the direction of future research.

Abstract: As the basis of 1:10000 color aerial remote sensing image of Ulan Buh Desert, Inner Mongolia, this paper studies on white thorn which is a typical representative of the nature of scarcity and mass organizations like the vegetation in the desert region. By using mathematical morphology theory and the Matlab 7.0 software, the white thorn will be conducted from the remote sensing image segmentation. Comparing the conducted image with the outer shape of the industry survey results, the accuracy of segmentation could be verified by the gray-level co-occurrence matrix comparisons. This research provides the technical reference for the large sample survey of desert region by remote sensing image segmentation.

Abstract: OpenGL is an excellent tool for developing 3D graphics. Because of its language based on C language, the documents which about OpenGL application in VB are very scarce currently. This article uses a 3D experimental model developed by OpenGL in VB environment as example, to introduce how to set up OpenGL framework in VB, and how to draw 3D graphics and implement interact, how to use the transformation matrix to control the transformations of 3D graphics, to provide some experiences and methods for VB programmers.

Abstract: The visualization of individual tree dynamic growth process provides a more intuitively visual display of individual tree growth process and effectively supports the forestry education and scientific researches. This paper presents an approach of combining the systematic analysis method and mathematical modeling techniques to realize the visual expression of the dynamic growth process of individual Mongolian pines in plantations. Quantitative analysis of morphological data and theoretical growth equation lay the foundation for establishing the dynamic growth model of individual Mongolian pines, which includes a primary branch diameter (BD) growth model, a primary branch length (BL) growth model, a height growth model, a diameter at breast height (DBH) growth model, a height of clear branches (HCB) growth model and a crown length (CL) growth model. Consolidating results of previous study--crown structure models and the development platform of VC++6.0 and OpenGL, we successfully established the virtual visualization system of individual tree growth for Mongolian pine plantation, and therefore implemented the nice integration of growth mechanism and morphological characteristics of individual Mongolian pines in plantation. The visual expression of individual tree growth provides a prerequisite for the visual forest management. In addition, it also offers a good reference for the visualization of other species.

Abstract: This paper studied the development process of evaluation and research status of the GIS technology in the geological environment in the development process of evaluation and research status. Determined the evaluation index system and the core algorithm by comparing the current geological environment evaluation of several methods used to determine the evaluation index system and the core algorithm, and established a mine geological environment evaluation system using ArcGIS Engine. Focuses on the geological environment indicators of the establishment and use of AHP to determine factor weights, introduced the system development the overall design concept, the system's basic composition and structure, the system of professional modules, system function, and use experimental regional data to test the system.

Abstract: The article is based on C# developing platform, ArcGIS Engine developing component，and forest resources survey data of Maoershan Experimental Forestry Center and GIS data，to develop forest multiple resources management system design and implementation.The system implements the query of multiple resources information of Maoershan experiment forest, analysis and decision,including basic GIS functions, themes generation, forest disaster management, fell of felling-area management, and other functions, eventually complete a relatively perfect, mutiple kinds of themes , extendable system of multiple resources information of Maoershan Experimental Forestry Center. The research and implement of this system has certain practical significance to management and investigations of Maoershan Experimental Forestry Center.

Abstract: A series of large public event highlight the problems in emergency management in China. As a result, it is significant to build an emergency counter-plan and management system. This thesis proposes overall architecture for the system and introduces the implementation of its main modules.

Abstract: The image matching technology is very important technology in computer vision. It is a wide range of application areas, such as aerial image analysis, industrial inspection, and stereo vision, medical, meteorological, and intelligent robots. The article introduces several important image matching technology, and some common fast image matching usage. Propose the image fast matching method basing on local information, mainly use template matching basing on local image features to achieve, by extraction of the selected feature points (including the obvious point, corner points, edge points, edge line, etc.) extracted, and through the calculation of similarity, and by using fast matching algorithm to achieve fast and accurate image matching requirements.

Abstract: In color images, skin color is the important information on human face. This paper proposes a method to detect and locate human face rapidly based on skin color information and eye gradient. First, normalized RGB space is converted to HSV space; Secondly, the images are pretreated by smoothing and light compensation to overcome the uneven illumination changes, and then the defined skin color model is used to determine candidate regions of the human face, finally the human face is located accurately through eye localization based on gradient template. Experiments show that the method is fast and effective.

Abstract: In this paper, improve the image annotation with semantic meaning, and name the new algorithm for semantic fusion of image annotation, that is a image is given to be labeled, use of training data set, the word set, and a collection of image area and other information to establish the probability model ,estimates the joint probability by word and given image areas.The probability value as the size, combined with keywords relevant table that integrates lexical semantics to extract keywords as the most representative image semantic annotation results. The algorithm can effectively use large-scale training data with rich annotation, so as to achieve better recall and precision than the existing automatic image annotation ,and validate the algorithm in the Corel data set.