Temporally Consistent Online Depth Estimation in Dynamic Scenes

Author:

Li Zhaoshuo1,Ye Wei2,Wang Dilin2,Creighton Francis X.1,Taylor Russell H.1,Venkatesh Ganesh2,Unberath Mathias1

Affiliation:

1. Johns Hopkins University

2. Reality Labs, Meta Inc.

Publisher

IEEE

Reference33 articles.

1. Neural RGB®D Sensing: Depth and Uncertainty From a Video Camera

2. A robotic 3d perception system for operating room environment awareness;li,2020

3. Edssr: Efficient dynamic surgical scene reconstruction with transformer-based stereoscopic depth perception;long;International Conference on Medical Image Computing and Computer-Assisted Intervention,2021

4. Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks

5. BodyFusion: Real-Time Capture of Human Motion and Surface Geometry Using a Single Depth Camera

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1. Force Distribution Sensor Based on Externally Observable Three-Dimensional Shape Deformation Information;IEEE Sensors Letters;2024-08

2. Chat: Cascade Hole-Aware Transformers with Geometric Spatial Consistency for Accurate Monocular Endoscopic Depth Estimation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Fully immersive virtual reality for skull-base surgery: surgical training and beyond;International Journal of Computer Assisted Radiology and Surgery;2023-06-22

4. DynamicStereo: Consistent Dynamic Depth from Stereo Videos;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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