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Image saliency detection counts much in image processing and computer vision. Basic features like color, texture and contrast, have been adopted in the construction of saliency map. However, given a complex image, high-level features should be taken into consideration. In general, among the objects with different spatial location, humans tend to focus more on the front-most one. Hence in this paper,...
An integrated strategy coupling GIS with two-dimension hydrodynamic model is explored to simulate the flooding inundation in the upper reaches of Huangpu River. DEM data, hydraulic engineering map and other available geospatial data are used and aid to generate the computational grid, while, some treatments of interior and exterior boundary conditions, and calculations of variable resistance terms...
In recent years, the deterioration, eutrophication and other water pollution problems are increasingly serious in Taihu lake, which have become new constraints of regional development. Based on GIS, most applications of Taihu lake relevant research were mainly emphasized on the traditional GIS data management and analysis, which lacked three-dimensional water pollution dynamic process simulation....
The Taihu Lake water is the lifelines of economic and social development of the Taihu Lake valley. In recent years, the deterioration, eutrophication and other water pollution problems are increasingly serious, which have become new constraints of regional development. The cure of eutrophication and pollution of Taihu Lake is imminent. At the same time, 3D geo-science modeling and 3D dynamic process...
A method of forming an elliptical involutes gear is proposed based on Visual LISP implanting AutoCAD in this paper. First, a geometric model is established according to a pinion cutting principle of the involutes profile and geometric location relationship between pinion cutter and pitch curve of elliptical gear. It makes pinion cutter do pure rolling on a pitch curve of elliptical gear. Then the...
We propose a novel probabilistic framework for learning visual models of 3D object categories by combining appearance information and geometric constraints. Objects are represented as a coherent ensemble of parts that are consistent under 3D viewpoint transformations. Each part is a collection of salient image features. A generative framework is used for learning a model that captures the relative...
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