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In this paper, we proposed an auto-generated two dimensional to three dimensional conversion system. We divided this architecture into two parts: In part one, we use Sobel edge detection [1] to segement the object for image of digital archives for classical antiques and document. Then, we used the Zhang and Suen thinning [2] to reduce the width of object's boundary to single pixel. After thinning,...
Particle Swarm Optimization combines with Munkres algorithm is proposed for Point Pattern Matching in three dimensions. Point Pattern Matching is a fundamental aspect of many fields in computer vision and pattern recognition. The point pattern matching technique could be described as finding an optimal transformation for one point pattern to the other under some measures. The proposed algorithm can...
LIDAR (Light Detection and Ranging) is one of the most effective remote sensing systems, which could provide three dimensional information of earth surface with high accuracy and speed. Now the building boundary extraction is the key approach for 3D modeling of building and city mapping. In this paper, a new algorithm named Alpha Shapes is developed to extract the building boundary. Compared with...
Visualization of flow fields with geometric primitives is often challenging due to occlusion that is inevitably introduced by 3D streamlines. In this paper, we present a novel view-dependent algorithm that can minimize occlusion and reveal important flow features for three dimensional flow fields. To analyze regions of higher importance, we utilize Shannon's entropy as a measure of vector complexity...
The process of visualization can be seen as a visual communication channel where the input to the channel is the raw data, and the output is the result of a visualization algorithm. From this point of view, we can evaluate the effectiveness of visualization by measuring how much information in the original data is being communicated through the visual communication channel. In this paper, we present...
Gene mapping is a statistical method used to localize human disease genes to particular regions of the human genome. When performing such analysis, a genetic likelihood space is generated and sampled, which results in a multidimensional scalar field. Researchers are interested in exploring this likelihood space through the use of visualization. Previous efforts at visualizing this space, though, were...
The problems on how to make full use of the existing network resources should be resolved as soon as possible. By achieving this goal, the geographic information can be shared on the Internet. Also, social management, social standards and the quality of life could be enhanced. Moreover, the management of social and people's lives will change in the remote manner. The main issue is to build a geographic...
To analyze time-varying data sets, tracking features over time is often necessary to better understand the dynamic nature of the underlying physical process. Tracking 3D time-varying features, however, is non-trivial when the boundaries of the features cannot be easily defined. In this paper, we propose a new framework to visualize time-varying features and their motion without explicit feature segmentation...
In this paper, we present a novel adaptive visualization technique where the constituting polygons dynamically change their geometry and other visual attributes depending on user interaction. These changes take place with the objective of conveying required level of detail to the user through each view. Our proposed technique is successfully applied to build a treemap-based but 3D visualization of...
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