Video Image Mosaics in Real-Time Based on SIFT

This paper proposes the method of video image mosaics in real-time based on Scale Invariant Feature Transform (SIFT) algorithm. The real-time processing is great significant for the video image mosaics. SIFT is the efficient method for extracting distinctive invariant features from images. But it costs so much computation time that it can’t meet the real-time processing demand. Therefore, an improved SIFT approach is proposed in this paper to accelerate its execution. The result shows that the method is validated and meets the real-time processing computation demand.