A Globally Convergent Newton-GMRES Subspace Method for Systems of Nonlinear Equations
SIAM Journal on Scientific Computing
ACM SIGGRAPH 2005 Papers
A Theory of Inverse Light Transport
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Compensating Indirect Scattering for Immersive and Semi-Immersive Projection Displays
VR '06 Proceedings of the IEEE conference on Virtual Reality
Projection defocus analysis for scene capture and image display
ACM SIGGRAPH 2006 Papers
Efficiently acquiring reflectance fields using patterned illumination
Efficiently acquiring reflectance fields using patterned illumination
Radiometric Compensation through Inverse Light Transport
PG '07 Proceedings of the 15th Pacific Conference on Computer Graphics and Applications
Defocus Blur Correcting Projector-Camera System
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Optical computing for fast light transport analysis
ACM SIGGRAPH Asia 2010 papers
A dual theory of inverse and forward light transport
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Virtual Reality - Special Issue on Augmented Reality
A Combined Theory of Defocused Illumination and Global Light Transport
International Journal of Computer Vision
Perceptual global illumination cancellation in complex projection environments
EGSR'11 Proceedings of the Twenty-second Eurographics conference on Rendering
Real-time Continuous Geometric Calibration for Projector-Camera System under Ambient Illumination
ICVRV '12 Proceedings of the 2012 International Conference on Virtual Reality and Visualization
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We present a fast perceptual radiometric compensation method for inter-reflection in immersive projection environment. Radiometric compensation is the inverse process of light transport. As light transport process can be described by a matrix-vector multiplication equation, radiometric compensation for inter-reflection can be achieved by solving the equation to get the vector, during which matrix inversion should be computed. As the dimensions of the matrix are equivalent to the resolution of images, such matrix inversion is both time and storage consuming. Unlike previous methods, our method adopts projector-camera system to simulate the inversion, and treats the compensation as a non-linear optimization problem which is formulated from full light transport matrix and non-linear color space conversion. To make physical multiplication simulation more practical, the method adjusts the range of projector-camera system adaptively and reduces the high-frequency errors caused by clipping error and measured error to make the compensated results smoother. We implement an immersive projection display prototype. The experiments show that our method achieves better results compared with the previous method.