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Radiometric compensation for non-rigid surfaces by continuously estimating inter-pixel correspondence
by
Yoshimura, Kazuma
, Hashimoto, Naoki
in
Artificial Intelligence
/ Cameras
/ Compensation
/ Computer Graphics
/ Computer Science
/ Gaming machines
/ Image Processing and Computer Vision
/ Original Article
/ Pixels
/ Projected images
/ Response functions
/ Rigid structures
2021
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Radiometric compensation for non-rigid surfaces by continuously estimating inter-pixel correspondence
by
Yoshimura, Kazuma
, Hashimoto, Naoki
in
Artificial Intelligence
/ Cameras
/ Compensation
/ Computer Graphics
/ Computer Science
/ Gaming machines
/ Image Processing and Computer Vision
/ Original Article
/ Pixels
/ Projected images
/ Response functions
/ Rigid structures
2021
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Do you wish to request the book?
Radiometric compensation for non-rigid surfaces by continuously estimating inter-pixel correspondence
by
Yoshimura, Kazuma
, Hashimoto, Naoki
in
Artificial Intelligence
/ Cameras
/ Compensation
/ Computer Graphics
/ Computer Science
/ Gaming machines
/ Image Processing and Computer Vision
/ Original Article
/ Pixels
/ Projected images
/ Response functions
/ Rigid structures
2021
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Radiometric compensation for non-rigid surfaces by continuously estimating inter-pixel correspondence
Journal Article
Radiometric compensation for non-rigid surfaces by continuously estimating inter-pixel correspondence
2021
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Overview
In recent years, radiometric compensation techniques for realizing ideal image projection, even for a patterned surface, have attracted attention. In radiometric compensation, the influence of the pattern can be canceled based on the input and output relation, referred to as the response function, which is determined by a projector–camera system. However, since the response function strongly depends on the inter-pixel correspondence between the projector and the camera, the projection surface is restricted to being a rigid body. In the present study, we achieve radiometric compensation for a non-rigid surface, such as a swaying curtain in a normal room, by estimating the inter-pixel correspondence in real time. The reflectance of the projection surface is estimated based on observation of the projected image by the camera without using special equipment, and the offset of the correspondence is estimated based on its validity. We evaluate the effectiveness of the proposed method for various combinations of curtain patterns and projected images.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
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