Litcius/Paper detail

Learn then match: A fast coarse-to-fine depth image-based indoor localization framework for dark environments via deep learning and keypoint-based geometry alignment

Qing Li, Rui Cao, Jiasong Zhu, Hao Fu, Baoding Zhou, Fang Xu, Sen Jia, Shenman Zhang, Kanglin Liu, Qingquan Li

2022ISPRS Journal of Photogrammetry and Remote Sensing25 citationsDOI

Topics & Concepts

Artificial intelligenceComputer scienceComputer visionRGB color modelOverhead (engineering)Feature (linguistics)Depth mapImage (mathematics)Deep learningComputationPosePattern recognition (psychology)AlgorithmLinguisticsPhilosophyOperating systemRobotics and Sensor-Based Localization3D Surveying and Cultural HeritageRemote Sensing and LiDAR Applications
Learn then match: A fast coarse-to-fine depth image-based indoor localization framework for dark environments via deep learning and keypoint-based geometry alignment | Litcius