Visual SLAM (VSLAM) has been develo** rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …

Although multiview platforms have enhanced work efficiency in mining teleoperation
systems, they also induce “cognitive tunneling” and depth-detection issues for operators …

Abstract 3D scene segmentation based on neural implicit representation has emerged
recently with the advantage of training only on 2D supervision. However, existing …

We present a modern solution to the multi-view photometric stereo problem (MVPS). Our
work suitably exploits the image formation model in a MVPS experimental setup to recover …

Simultaneous localization and map** (SLAM), a core technology of mobile robots and
autonomous driving, has received more and more attention in recent years. However, most …

We introduce the Panoptic 3D Reconstruction task a unified and holistic scene
understanding task for a monocular video. And we present PanoRecon-a novel framework …

Accurate and robust tracking and reconstruction of the surgical scene is a critical enabling
technology toward autonomous robotic surgery. Existing algorithms for 3D perception in …

We present a novel real-time capable learning method that jointly perceives a 3D scene's
geometry structure and semantic labels. Recent approaches to real-time 3D scene …

Indoor 3D reconstruction and navigation element extraction with point cloud data has
become a research focus in recent years, which has important application in community …