Related Experiment Video
Updated: Jun 5, 2026
14:25
Determining 3D Flow Fields via Multi-camera Light Field Imaging
Published on: March 6, 2013
Reconstruction of three-dimensional occluded object using optical flow and triangular mesh reconstruction in integral
Jae-Hyun Jung1, Keehoon Hong, Gilbae Park
1School of Electrical Engineering, Seoul National University, Gwanak-Gu Gwanakro 599, Seoul 151-744, Korea.
Optics Express
|December 18, 2010
Summary
This study introduces a novel 3D object reconstruction method using optical flow for accurate depth extraction and triangular mesh reconstruction to fill occluded regions in integral imaging, improving 3D image recognition.
Area of Science:
- Computer Vision
- 3D Reconstruction
- Integral Imaging
Background:
- Occlusion is a significant challenge in 3D object reconstruction.
- Existing methods often struggle with depth accuracy and quantization issues.
- Integral imaging provides multiple views but requires robust depth estimation.
Purpose of the Study:
- To develop a method for reconstructing occluded regions in 3D objects using integral imaging.
- To enhance depth accuracy by employing optical flow with sub-pixel precision.
- To improve 3D image recognition performance through accurate reconstruction.
Main Methods:
- Depth extraction from sub-images using sub-pixel accurate optical flow.
- Segmentation of depth maps via histogram-based thresholding to generate point clouds.
- Triangular mesh reconstruction by projecting point clouds to a central viewpoint.
Main Results:
- The proposed method successfully reconstructs occluded regions with high accuracy.
- Evaluated using peak signal-to-noise ratio and normalized cross-correlation, demonstrating significant improvements.
- Validated the effectiveness of sub-pixel optical flow for alleviating depth quantization.
Conclusions:
- The developed integral imaging technique effectively reconstructs occluded 3D object regions.
- The combination of optical flow depth extraction and triangular mesh reconstruction offers high fidelity.
- The method shows promise for enhanced 3D image recognition applications.
Related Concept Videos
01:18Uniform Depth Channel Flow: Problem Solving
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
01:27Uniform Depth Channel Flow
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...