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Related Experiment Video

Updated: Aug 25, 2025

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RobustFusion: Robust Volumetric Performance Reconstruction Under Human-Object Interactions From Monocular RGBD

Zhuo Su, Lan Xu, Dawei Zhong

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |October 19, 2022
    PubMed
    Summary
    This summary is machine-generated.

    RobustFusion reconstructs 4D human performance during object interactions using a single RGBD sensor. This system effectively handles complex interactions and occlusions for enhanced virtual and augmented reality applications.

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    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Human-Computer Interaction

    Background:

    • High-quality 4D reconstruction of human performance with object interactions is crucial for immersive virtual and augmented reality (VR/AR).
    • Existing methods struggle with complex interactions and occlusions, particularly in monocular settings.

    Purpose of the Study:

    • To propose RobustFusion, a robust volumetric performance reconstruction system for human-object interaction using a single RGBD sensor.
    • To address challenges of complex interactions and severe occlusions in monocular 4D reconstruction.

    Main Methods:

    • A semantic-aware scene decoupling scheme for explicit occlusion modeling.
    • Segmentation refinement and robust object tracking for temporal consistency.
    • A data-driven performance capture scheme with spatial relation priors and interaction cues.
    • Adaptive fusion with occlusion analysis and human parsing for coherent reconstruction.

    Main Results:

    • RobustFusion achieves high-quality 4D human performance reconstruction in complex human-object interaction scenarios.
    • The system effectively handles severe occlusions and disentanglement uncertainty.
    • Maintains temporal consistency and natural motion, even in occluded regions.

    Conclusions:

    • RobustFusion provides a lightweight yet effective solution for 4D human performance reconstruction from a single RGBD sensor.
    • The proposed methods significantly improve reconstruction quality under challenging human-object interaction conditions.
    • Enables more realistic and immersive VR/AR experiences through accurate human-object interaction capture.