In recent years, there has been a growing demand for 3D reconstructions of tunnel pits,
underground pipe networks, and building interiors. For such scenarios, weak textures …

Pose estimation and map reconstruction are basic requirements for robotic autonomous
behavior. In this paper, we propose a point–plane-based method to simultaneously estimate …

Feature matching in computer vision is crucial but challenging in weakly textured scenes
due to the lack of pattern repetition. We introduce the SwinMatcher feature matching method …

Semantically rich indoor models are increasingly used throughout a facility's life cycle for
different applications. With the decreasing price of 3D sensors, it is convenient to acquire …

Orientation estimation is a crucial part of robotics tasks such as motion control, autonomous
navigation, and 3D map**. In this paper, we propose a robust visual-based method to …

High-quality 3D reconstruction results are very important in many application fields.
However, current texture generation methods based on point sampling and fusion often …

3D reconstruction is 3 d reconstruction in aerial reconstruction, industrial measurement,
medical image reconstruction, cultural relics preservation and restoration, virtual reality and …

The running average approach has long been perceived as the best choice for fusing depth
measurements captured by a consumer-grade RGB-D camera into a global 3D model. This …