Reconstruction of three-dimensional occluded object using optical flow and triangular mesh reconstruction in integral imaging

We proposed a reconstruction method for the occluded region of three-dimensional (3D) object using the depth extraction based on the optical flow and triangular mesh reconstruction in integral imaging. The depth information of sub-images from the acquired elemental image set is extracted using the o...

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Bibliographic Details
Published in:Optics express 2010-12, Vol.18 (25), p.26373-26387
Main Authors: Jung, Jae-Hyun, Hong, Keehoon, Park, Gilbae, Chung, Indeok, Park, Jae-Hyeung, Lee, Byoungho
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Pattern Recognition, Automated - methods
Reproducibility of Results
Sensitivity and Specificity
Subtraction Technique
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Summary:We proposed a reconstruction method for the occluded region of three-dimensional (3D) object using the depth extraction based on the optical flow and triangular mesh reconstruction in integral imaging. The depth information of sub-images from the acquired elemental image set is extracted using the optical flow with sub-pixel accuracy, which alleviates the depth quantization problem. The extracted depth maps of sub-image array are segmented by the depth threshold from the histogram based segmentation, which is represented as the point clouds. The point clouds are projected to the viewpoint of center sub-image and reconstructed by the triangular mesh reconstruction. The experimental results support the validity of the proposed method with high accuracy of peak signal-to-noise ratio and normalized cross-correlation in 3D image recognition.
ISSN:1094-4087
1094-4087
DOI:10.1364/OE.18.026373