Augmented Reality (AR) is the technology to combine virtual information and the real world. Scale-Invariant Feature Transform (SIFT) is a method that could be implemented in AR. SIFT has good stability and invariance, give high performance, and implemented by many applications. However SIFT itself has a disadvantage, it is not the flawless matching of the SIFT descriptor. In this research, we propose one of the image processing techniques, which is called logarithmic transformation. Our research aims to produce output value of combination Logarithmic Transformation and SIFT algorithm. The steps of our proposed method start from extracting video to sequential image, increase the quality of each frame using logarithmic transformation, and implement SIFT and evaluate this method with total keypoint matching. Combination LIP and SIFT will be compared with SIFT standard. We examined our research with rotation and distance. The result of LIP SIFT can increase the performance of SIFT standard as much as 16% for rotation and 1,5 % for distance-based SIFT standard.
Topics
Image processing
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