Video Modeling In Virtual Touring: Research And Implementation

Recent years, with the rapid development of the Internet, the Virtual Touring is becoming more and more attractive. This technology combines the video technology and the e-map and can make the users feel as if they were touring in a city without going to this city. At the same time, this technology is widely used in the contribution of a city. The people can make a video of the city and put it on the internet, and let the whole world know it. This method is a new way of attracting travelers. And the Virtual Touring technology and the traditional 3D reconstruction technology can be combined in the e-commence area. When the traveler is virtual touring a city, he can go into a shop and view the goods constructed by the 3D reconstruction technology. This is a new application of the traditional technology. At present, most applications of Virtual Touring use normal videos or omni-directional videos. These methods don't have much influence on the viewer. And at present, many algorithms in the feature matching technology, which is a fundamental technology in 3D reconstruction, worth improving when the input matching has many outliers in it.Based on this, firstly, this paper will introduce two improvements to the LMedS algorithm, which is a random sampling based algorithm used in pattern recognition and feature matching. The two new algorithms will improve the LMedS algorithm when the percentage of outliers is high. By constructing data and feed these data to the algorithms, we show that the new two algorithm swill improve the old methods. And then, we show a platform which combines the e-map and the omni-directional video. This includes an IE based omni-directional video player, which is developed by Flash. The platform combines the e-map and the omni-directional in such a way that the video stream from which the play starts to play is given by the e-map and the e-map also shows the current position of the video stream.