title: Reconstruction of three-dimensional occluded object using optical flow and triangular mesh reconstruction in integral imaging.
abstract: 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.
authors.affiliation: School of Electrical Engineering, Seoul National University, Gwanak-Gu Gwanakro 599, Seoul 151-744, Korea.
authors.forename: Jae-Hyun
authors.initials: JH
authors.lastname: Jung
authors.forename: Keehoon
authors.initials: K
authors.lastname: Hong
authors.forename: Gilbae
authors.initials: G
authors.lastname: Park
authors.forename: Indeok
authors.initials: I
authors.lastname: Chung
authors.forename: Jae-Hyeung
authors.initials: JH
authors.lastname: Park
authors.forename: Byoungho
authors.initials: B
authors.lastname: Lee
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique