Abstract: In virtual reality scenes, the reconstruction of the dynamic reality process is complicated that needs a lot of images which contain real information to consolidate. These images most have a public area with one or more images. This paper puts forward an algorithm named relation projection mapping method based on feature matching. On the basis of these public areas, it can extract the associated features among the images by SIFT feature matching. With the associated features, we can proceed a new projective texture mapping by constructing the view transformation matrix. The experimental results show that this method is stable and effective, and the dynamic reconstruction has a good application effect in reality.
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Key words: reality, SIFT feature, relevance, projective texture mapping