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Planar Abstraction and Inverse Rendering of 3D Indoor Environments.

Young Min Kim, Sangwoo Ryu, Ig-Jae Kim

IEEE Transactions on Visualization and Computer Graphics

|December 24, 2019

Summary

This study introduces a novel method using planes to improve 3D indoor environment reconstruction from RGB-D scans. It enhances realism and simplifies processing for virtual reality applications.

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Area of Science:

Computer Vision
3D Reconstruction
Computer Graphics

Background:

3D indoor environment scanning using RGB-D sensors often results in occlusions and misalignment, leading to incomplete geometry and texture ghosting.
Existing methods like Manhattan World priors are limited to simple structures and do not fully address complex indoor scenes.
Processed 3D reconstructions are necessary for visually compelling virtual reality (VR) and augmented reality (AR) content.

Purpose of the Study:

To advance the planar representation of indoor environments beyond geometric description.
To utilize detected planes for solving inverse rendering problems, including texture and lighting.
To generate realistic and visually compelling 3D indoor environments from RGB-D sensor data.

Main Methods:

Utilizing detected planes from an initial 3D reconstruction obtained by an RGB-D sensor.
Employing planes for both geometric representation and solving inverse rendering problems (texture, light).
Simplifying complex shape inference and intrinsic imaging processes through planar decomposition.

Main Results:

Achieved a simplified and robust process for 3D indoor environment reconstruction.
Generated realistic 3D indoor environments with accurate spatial arrangements.
Produced content with plausible lighting and texture, suitable for AR/VR compositing.

Conclusions:

Planar representation effectively addresses limitations in RGB-D scanning for 3D indoor environments.
The proposed method enhances the quality and usability of 3D reconstructions for AR/VR.
This approach simplifies complex inverse rendering tasks, leading to more compelling virtual environments.