Image Feature Information Extraction for Interest Point Detection: A Review
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Abstract (arXiv)
Interest point detection is one of the most fundamental and critical problems in computer vision and image processing. In this paper, we carry out a comprehensive review on image feature information (IFI) extraction techniques for interest point detection. To systematically introduce how the existing interest point detection methods extract IFI from an input image, we propose a taxonomy of the IFI extraction techniques for interest point detection. According to this taxonomy, we discuss different types of IFI extraction techniques for interest point detection. Furthermore, we identify the main unresolved issues related to the existing IFI extraction techniques for interest point detection and any interest point detection methods that have not been discussed before. The existing popular datasets and evaluation standards are provided and the performances for eighteen state-of-the-art approaches are evaluated and discussed. Moreover, future research directions on IFI extraction techniques for interest point detection are elaborated.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 33 of its 262 references that are in the map. First posted on arXiv 15 Jun 2021.
Builds on
33 of 262 references.
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21 more
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.