Dense Feature Matching Based on Homographic Decomposition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3152539
Abstract: Finding robust and accurate feature matches is a fundamental problem in computer vision. However, incorrect correspondences and suboptimal matching accuracies lead to significant challenges for many real-world applications. In conventional feature matching, corresponding features in… read more here.
Keywords: feature; dense feature; feature matching; homographic decomposition ... See more keywords
Joining Spatial Deformable Convolution and a Dense Feature Pyramid for Surface Defect Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3370962
Abstract: Although deep learning-based surface defect detection approaches have performed remarkably well in recent years, the complicated shapes and large size differences of surface defects still pose enormous challenges for most existing methods. To address these… read more here.
Keywords: detection; surface defect; dense feature; defect detection ... See more keywords