| Summary: | 碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 97 === This thesis discusses how to apply vision-based techniques to exhibit the evolution of a background scene through a period of time. It has many applications, such as digital preservation and tourist attractions. Ordinary captured images usually have a limited field of view. To browse a wide scene, one possible way is using multiple static cameras to monitor different viewing directions. However, with this kind of method there are certain drawbacks. For example, the relationships between different viewing directions could be confusing and the cost for multiple cameras could be costly. In recent years, panning cameras are widely used in many applications, such as visual surveillance and vision robot, to enlarge the monitoring area. With the use of a panning camera, a manifold panorama can be constructed in each round of the rotation, and a scene can be organized in an intuitional way. To generate an ideal background panorama without foreground influence, a block-based background modeling method is employed to pre-process the image for detecting and eliminating moving objects. We finalize by applying mean or median filter to create a space-time panorama for giving a better visual results. The results are demonstrated by an interactive user interface which allows users to be immersed with the panoramas.
|
|---|
