Robust Reflectance Estimation for Projection-Based Appearance Control in a Dynamic Light Environment.

Area of Science:

• Computer Vision
• Computer Graphics
• Optical Engineering

Background:

• Object reflectance estimation is crucial for controlling appearance in projector-camera systems.
• Conventional methods struggle in dynamic lighting, requiring frequent recalibration.
• Object appearance is influenced by both intrinsic reflectance and environmental lighting.

Purpose of the Study:

• To develop a robust method for estimating object reflectance in dynamically changing lighting environments.
• To eliminate the need for recalibration in projector-camera systems under varying light.
• To simultaneously estimate object reflectance and environmental light.

Main Methods:

• A novel method employing a projector-camera system that rapidly switches projection (120 Hz).
• Acquiring object images under two distinct, rapidly alternating light conditions.
• Simultaneously estimating reflectance and environmental light from the captured image pair.

Main Results:

• The proposed method robustly estimates reflectance even with dynamic environmental light changes.
• Experiments validate the method's effectiveness under practical indoor lighting.
• The system successfully estimates reflectance without requiring additional calibration.

Conclusions:

• The novel method provides robust reflectance estimation in dynamic lighting.
• Simultaneous estimation of reflectance and light eliminates recalibration needs.
• This approach enhances control over object appearance in real-world, variable lighting scenarios.