Pose estimation using object contour and projection distortion for dynamic projection mapping

Takumi Saito; Naoki Hashimoto

doi:10.1117/12.2624669

30 April 2022 Pose estimation using object contour and projection distortion for dynamic projection mapping

Takumi Saito, Naoki Hashimoto

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121771O (2022) https://doi.org/10.1117/12.2624669
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

Projection mapping, a spatial augmented reality technology that changes the appearance of an object by projecting images using a projector, has become widespread. We have achieved projection mapping on moving objects by estimating the position and orientation of the object by mapping the contour of the object acquired with an infrared camera to the contour of a 3D model acquired in advance. However, when the contour of the object is occluded, the estimation accuracy is degraded, which is a problem for precise projection mapping. In this study, we propose robust estimation of position and orientation by using distortion information of the projected image caused by the motion of the target object in addition to the contour. The projection distortion is reproduced in the simulation environment, and the estimated accuracy of the position and orientation is evaluated.

Citation Download Citation

Takumi Saito and Naoki Hashimoto "Pose estimation using object contour and projection distortion for dynamic projection mapping", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121771O (30 April 2022); https://doi.org/10.1117/12.2624669

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KEYWORDS

Distortion

3D modeling

Cameras

Projection systems

Error analysis

3D image processing

Associative arrays

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