Scene flow estimation through 3D analysis of multi-focus images

Fujii, Haruhisa; Hamamoto, Takayuki

doi:10.1109/vcip.2016.7805557

Cited by 7 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The optical microscope cannot directly obtain the depth information of the target. Some scholars collect multiple sequence images by controlling the continuous movement of the object platform in the vertical direction and reconstructing the 3D surface of the target by focusing on the depth information [ 17 , 18 , 19 ]. Based on this idea, this paper explores the method of reconstructing the surface depth image of the nonwoven fabric, thus extracting 3D fiber information.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Modeling of Spun-Bonded Nonwoven Meso-Structures

Wang

et al. 2023

Polymers

View full text Add to dashboard Cite

As a type of fiber system, nonwoven fabric is ideal for solid–liquid separation and air filtration. With the wide application of nonwoven filter materials, it is crucial to explore the complex relationship between its meso structure and filtration performance. In this paper, we proposed a novel method for constructing the real meso-structure of spun-bonded nonwoven fabric using computer image processing technology based on the idea of a “point-line-body”. Furthermore, the finite element method was adopted to predict filtration efficiencies based on the built 3D model. To verify the effectiveness of the constructed meso-structure and simulation model, filtration experiments were carried out on the fabric samples under different pollution particle sizes and inlet velocities. The experimental results show that the trends observed in the simulation results are consistent with those of the experimental results, with a relative error smaller than 10% for any individual datum.

show abstract

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Modeling of Spun-Bonded Nonwoven Meso-Structures

Wang

et al. 2023

Polymers

View full text Add to dashboard Cite

show abstract

“…Moeller et al [Moeller, Benning and Schonlieb et al (2015)] proposed to state the depth from focus problem as a variational problem including a smooth but nonconvex data fidelity term, and a convex nonsmooth regularization, which makes the method robust to noise and leads to more realistic depth maps. Based on a synthesis of multi-focus images from multi-view images, Fujii et al [Fujii, Kodama and Hamamoto (2016)] proposed a novel method for analyzing 3D scene flow accurately at low computational cost as an extension of 2D optical flow estimation. Based on the concept and the work developed in the past, this research continued to develop a method for reconstructing the 3D structure of a nonwoven web using optical microscopy.…”

Section: Introductionmentioning

confidence: 99%

3D Web Reconstruction of a Fibrous Filter Using Sequential Multi-Focus Images

Jie

Gao²,

Du³

et al. 2019

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

A fibrous filtering material is a kind of fiber assembly whose structure exhibits a three-dimensional (3D) network with dense microscopic open channels. The geometrical/morphological attributes, such as orientations, curvatures and compactness, of fibers in the network is the key to the filtration performance of the material. However, most of the previous studies were based on materials' 2D micro-images, which were unable to accurately measure these important 3D features of a filter's structure. In this paper, we present an imaging method to reconstruct the 3D structure of a fibrous filter from its optical microscopic images. Firstly, a series of images of the fiber assembly were captured at different depth layers as the stage moved vertically. Then a fusion image was established by extracting fiber edges from each layered image. Thirdly, the 3D coordinates of the fiber edges were determined using the sharpness/clarity of each edge pixel in the layered images. Finally, the 3D structure the fiber system was reconstructed through distance transformation based on the locations of fiber edges.

show abstract

Fixed-Lens camera setup and calibrated image registration for multifocus multiview 3D reconstruction

Chowdhury

Nguyen

et al. 2021

Neural Comput & Applic

View full text Add to dashboard Cite

Scene flow estimation through 3D analysis of multi-focus images

Cited by 7 publications

References 8 publications

Three-Dimensional Modeling of Spun-Bonded Nonwoven Meso-Structures

Three-Dimensional Modeling of Spun-Bonded Nonwoven Meso-Structures

3D Web Reconstruction of a Fibrous Filter Using Sequential Multi-Focus Images

Fixed-Lens camera setup and calibrated image registration for multifocus multiview 3D reconstruction

Contact Info

Product

Resources

About