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SGL: Structure Guidance Learning for Camera Localization
Camera localization is a classical computer vision task that serves various Artificial Intelligence and Robotics applications.
A Real-Time Fusion Framework for Long-term Visual Localization
In this paper, we present an efficient client-server visual localization architecture that fuses global and local pose estimations to realize promising precision and efficiency.
Pose Refinement with Joint Optimization of Visual Points and Lines
High-precision camera re-localization technology in a pre-established 3D environment map is the basis for many tasks, such as Augmented Reality, Robotics and Autonomous Driving.
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