Abstract
This paper proposes a novel method for detecting a photographer’s shooting trajectory based on select images. Firstly, in a Lab color space, directional information and perceived color information were combined, and similar images were found by a color difference histogram. Local invariant descriptors were then constructed by the contrast context histogram method to match feature point areas and their context, and to judge whether these areas corresponded. Through this, the corresponding relationship for feature points between image sequences was obtained. Furthermore, the essential matrix for a pair of images was obtained through the singular value decomposition method to determine photographer trajectories.
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04 September 2023
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s00779-023-01767-4
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Funding
This study received funding from the National Natural Science Foundation of China (Grants: 61472227, 61772319, 61602277).
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Fan, L., Li, H., Li, M. et al. RETRACTED ARTICLE: Photographer trajectory detection from images. Pers Ubiquit Comput 22, 1005–1015 (2018). https://doi.org/10.1007/s00779-018-1150-5
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DOI: https://doi.org/10.1007/s00779-018-1150-5