Global matching method for virtual reality image of intelligent product based on SIFT algorithm and wavelet transform

Wei Zhang and QiLong Li

International Journal of Product Development, 2025, vol. 29, issue 3/4, 344-361

Abstract: In order to improve the accuracy and efficiency of global image matching, the research on intelligent product virtual reality image global matching method based on SIFT algorithm and wavelet transform is carried out. This method first completes the virtual reality image acquisition and grey-scale processing of intelligent products, then decomposes the virtual reality image of intelligent products based on wavelet transform, and finally analyses the low-frequency approximate sub-image obtained based on SIFT algorithm to complete the global image matching. The experimental results show that the proposed method can be applied to the global matching of virtual reality images of intelligent products, with a matching accuracy of more than 95%, a time consumption is between 874 ms and 1092 ms and the application effect is good.

Keywords: SIFT algorithm; intelligent products; global image matching. (search for similar items in EconPapers)
Date: 2025
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