Finding Robust 2D-to-3D Correspondence with LSTM Score Estimation for Camera Localization
Tsu-Kuan Huang,Po-Heng Chen,Li-Yang Wang,Kuan-Wen Chen,Tsu-Kuan Huang,Po-Heng Chen,Li-Yang Wang,Kuan-Wen Chen
2D-to-3D correspondence estimation is the key step of 3D model-based image localization, and most of the existing research in this field focuses on improving the feature matching performance. Even with the best feature matching method, there are still some outliers, and thus, almost all the methods simply apply the RANSAC algorithm to select the inliers and estimate the camera pose afterwards. How...
