Image Matching
12 papers with code • 1 benchmarks • 1 datasets
Image Matching or wide multiple baseline stereo (WxBS) is a process of establishing a sufficient number of pixel or region correspondences from two or more images depicting the same scene to estimate the geometric relationship between cameras, which produced these images.
Source: The Role of Wide Baseline Stereo in the Deep Learning World
( Image credit: Kornia )
Benchmarks
These leaderboards are used to track progress in Image Matching
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IMC PhotoTourism
Latest papers with no code
Efficient Linear Attention for Fast and Accurate Keypoint Matching
Yet, these Transformers lack efficiency due to the quadratic computational complexity of their attention mechanism.
HarrisZ$^+$: Harris Corner Selection for Next-Gen Image Matching Pipelines
Due to its role in many computer vision tasks, image matching has been subjected to an active investigation by researchers, which has lead to better and more discriminant feature descriptors and to more robust matching strategies, also thanks to the advent of the deep learning and the increased computational power of the modern hardware.
