Learning Robust Feature Descriptor for Image Registration With Genetic Programming
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DOI: 10.1109/access.2020.2968339
Abstract: The robustness and accuracy of feature descriptor are two essential factors in the process of image registration. Existing feature descriptors can extract important image features, but it may be difficult to find enough correct correspondences… read more here.
Keywords: feature descriptors; feature descriptor; feature; image ... See more keywords
QBB: Quantile-Based Binarization of 3D Point Cloud Descriptors
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DOI: 10.1109/access.2022.3186094
Abstract: Local 3D point feature descriptors play an important role in many areas of computer vision, such as object recognition, registration, etc. There are many well-functioning feature descriptors, but they are typically real-valued and multidimensional vectors,… read more here.
Keywords: feature descriptors; real valued; binarization; quantile based ... See more keywords
A Deep Learning-Based Hyperspectral Keypoint Representation Method and Its Application for 3D Reconstruction
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DOI: 10.1109/access.2022.3197183
Abstract: In previous studies, the keypoints and their feature descriptors of a hyperspectral image have not received enough attention. Compared with RGB images, the rich feature information of a hyperspectral image can not only constrain the… read more here.
Keywords: feature descriptors; based hyperspectral; reconstruction; method ... See more keywords