Real-time Continuous Geometric Calibration for Projector-Camera System under Ambient Illumination

Li, Yuqi; Bao, Niguang; Yuan, Qingshu; Lu, Dongming

doi:10.1109/icvrv.2012.15

Cited by 6 publications

(2 citation statements)

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“…For geometric correspondence, we typically use ORB detector to find feature pairs between desired image and captured image [Li et al 2012]. Then we use RANSAC (RANdom SAmple Consensus) to filter out wrong matches and divide the features into two clusters, and each belongs to one plane.…”

Section: Methodsmentioning

confidence: 99%

Perceptual radiometric compensation for inter-reflection in immersive projection environment

Yuan

2013

Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology

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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.

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Section: Methodsmentioning

confidence: 99%

Perceptual radiometric compensation for inter-reflection in immersive projection environment

Yuan

2013

Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology

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“…Other methods [28] apply feature extraction and matching techniques to find sparse correspondences between the input and output images of Procams. This kind of method can estimate inter-pixel correspondences from natural images without any extra devices or markers, and also meet the demand of online continuous geometric correction to achieve view-dependent display.…”

Section: Related Workmentioning

confidence: 99%

Efficient Full Projector Compensation using Natural Images

Li¹

2022

Preprint

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<p> Practical full projector compensation allows the projection display to quickly adapt to textured projection surfaces and unexpected movement without interrupting the display procedure or requiring unacceptable waiting time. To achieve this by a projector and a RGB camera without adding any extra devices, a possible solution is correcting both color and geometry by directly capturing and analyzing the projected natural images content. In this work, we cast the full projector compensation as a non-negative constrained optimization problem, and present the first optimization-based framework that can handle both geometric calibration and radiometric compensation for a Projector-camera system(Procams) using only a few sampling images. The framework not only takes advantage of the ability of the deep neural network to approximate the channel-dependent response function of the projector, but also provides a flexible solution to adapt to the change of geometry and reflectance caused by movement. Benefit from the optimization-based scheme, our method can guarantee both accurate color calculation and efficient movement and reflectance estimation in a continuous projection display procedure. The experimental results show our method outperforms other state-of-the-art end-to-end full projector compensation methods with better-displayed image quality, less computational time, smaller memory consumption, more geometric accuracy, and far more compact network architecture. </p>

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Radiometric compensation for non-rigid surfaces by continuously estimating inter-pixel correspondence

Hashimoto

Yoshimura

2020

Vis Comput

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Real-time Continuous Geometric Calibration for Projector-Camera System under Ambient Illumination

Cited by 6 publications

References 1 publication

Perceptual radiometric compensation for inter-reflection in immersive projection environment

Perceptual radiometric compensation for inter-reflection in immersive projection environment

Efficient Full Projector Compensation using Natural Images

Radiometric compensation for non-rigid surfaces by continuously estimating inter-pixel correspondence

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