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Related Experiment Video

Updated: Feb 26, 2026

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

Inverse Rendering and Relighting From Multiple Color Plus Depth Images.

Siying Liu, Minh N Do

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|July 21, 2017

Summary

This study introduces a new relighting method using consumer camera depth and color images. The approach refines surface normals and recovers albedo and lighting for realistic scene relighting.

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Area of Science:

Computer Vision
Computer Graphics
Image Processing

Background:

Relighting requires accurate surface normals, albedo, and lighting information.
Consumer depth sensors provide noisy but useful geometric data.
Spherical harmonics are effective for representing complex lighting and reflectance.

Purpose of the Study:

To develop a novel relighting approach using multiple consumer-grade color and depth images.
To refine surface normals using noisy depth data and color images under varying illumination.
To recover albedo and lighting coefficients for realistic scene relighting.

Main Methods:

Modeling the reflected light field using spherical harmonic coefficients.
Refining surface normals via non-linear optimization with first-order spherical harmonics.
Recovering albedo and lighting using matrix factorization with second-order spherical harmonics.

Main Results:

Successful refinement of surface normals from noisy depth data.
Accurate recovery of albedo and lighting coefficients (up to global scaling).
Demonstrated realistic relighting results on both simulated and real-world data.

Conclusions:

The proposed method effectively leverages consumer camera data for advanced relighting.
The approach offers a robust solution for recovering scene properties from limited input.
This technique has potential applications in augmented reality and virtual content creation.