Search
Results
-
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
(2019)Proceedings of the 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)In this work we address the problem of finding reliable pixel-level correspondences under difficult imaging conditions. We propose an approach where a single convolutional neural network plays a dual role: It is simultaneously a dense feature descriptor and a feature detector. By postponing the detection to a later stage, the obtained keypoints are more stable than their traditional counterparts based on early detection of low-level ...Conference Paper -
InLoc: Indoor Visual Localization with Dense Matching and View Synthesis
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern RecognitionWe seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect to a large indoor 3D map. The contributions of this work are three-fold. First, we develop a new large-scale visual localization method targeted for indoor environments. The method proceeds along three steps: (i) efficient retrieval of candidate poses that ensures scalability to large-scale environments, (ii) pose estimation using dense matching ...Conference Paper -
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
(2018)2018 IEEE/CVF Conference on Computer Vision and Pattern RecognitionConference Paper -
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?
(2017)2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Conference Paper