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Review of Wide-Baseline Stereo Image Matching Based on Deep Learning
2021
Remote Sensing
Strong geometric and radiometric distortions often exist in optical wide-baseline stereo images, and some local regions can include surface discontinuities and occlusions. Digital photogrammetry and computer vision researchers have focused on automatic matching for such images. Deep convolutional neural networks, which can express high-level features and their correlation, have received increasing attention for the task of wide-baseline image matching, and learning-based methods have the
doi:10.3390/rs13163247
fatcat:u43b2al6dzblddofc4ggcamiki