Application of Hilbert Analysis in Orthogonal Fourier Fringe-Projection to Improve Object Shape Reconstruction

2021 ◽  
Author(s):  
Ori Izhak Rosenberg ◽  
David Abookasis
Keyword(s):  
Shape Reconstruction ◽  
Fringe Projection ◽  
Object Shape

scholarly journals Application of Hilbert Analysis in Orthogonal Fourier Fringe-projection to Improve Object Shape Reconstruction -=SUP=-*-=/SUP=-

2021 ◽  
Vol 129 (5) ◽  
pp. 658
Author(s):  
Ori Izhak Rosenberg ◽  
David Abookasis
Keyword(s):  
Hilbert Transform ◽  
Shape Recovery ◽  
3D Visualization ◽  
Medical Diagnostics ◽  
Shape Reconstruction ◽  
Fringe Projection ◽  
Background Intensity ◽  
Combined Approach ◽  
Complex Objects ◽  
Object Shape

Three-dimensional (3D) measurement of an object is widely used in many fields including machine vision, quality control, robotics, medical diagnostics, and others. High-precision 3D surface topography is necessary for describing object shape accurately with high spatial resolution. A combined approach to improve 3D object shape recovery based on Fourier orthogonal fringe projection together with Hilbert transform is proposed and demonstrated. This new idea of combination is highly effective due to the suppressing of background intensity of the deformed fringe pattern while the zero spectrum is extracted precisely and easily. Removing the zero order component leads to increase the visualization and resolution of the measured object. Application of Hilbert processing for object shape recovery in orthogonal Fourier projection domain to improve 3D visualization has not been reported before. The processing framework of this strategy is described in detail. Validation of the proposed method is verified by experiments including visualization of objects with various shapes and sizes. A comparison between profilometry methods is also given which verify better performance in reconstruction of complex objects. 3D reconstruction of flow running at different speeds on a scattering medium with this combined approach is also demonstrated for the first time. Keywords: 3D shape measurements, orthogonal fringes, Fourier and Hilbert transform, image processing.

Object shape recovering using multifrequency fringe projection

1996 ◽  
Author(s):  
F. J. Cuevas ◽  
Manuel Servin Guirado ◽  
Ramon Rodriguez-Vera ◽  
Jose L. Marroquin Zaleta
Keyword(s):  
Fringe Projection ◽  
Object Shape

Active Tactile Exploration Based on Cost-Aware Information Gain Maximization

2018 ◽  
Vol 15 (01) ◽  
pp. 1850015 ◽  
Author(s):  
Simon Ottenhaus ◽  
Lukas Kaul ◽  
Nikolaus Vahrenkamp ◽  
Tamim Asfour
Keyword(s):  
Information Gain ◽  
Shape Reconstruction ◽  
Object Knowledge ◽  
Object Shape ◽  
Contact Points ◽  
Contact Information ◽  
Efficiency Cost ◽  
Estimation Function ◽  
The Cost ◽  
Object Models

Active tactile perception is a powerful mechanism to collect contact information by touching an unknown object with a robot finger in order to enable further interaction with the object or grasping of the object. The acquired object knowledge can be used to build object shape models based on such usually sparse tactile contact information. In this paper, we address the problem of object shape reconstruction from sparse tactile data gained from a robot finger that yields contact information and surface orientation at the contact points. To this end, we present an exploration algorithm which determines the next best touch target in order to maximize the estimated information gain and to minimize the expected costs of exploration actions. We introduce the Information Gain Estimation Function (IGEF), which combines different goals as measure for the quantification of the cost-aware information gain during exploration. The IGEF-based exploration strategy is validated in simulation using 48 publicly available object models and compared to state-of-the-art Gaussian processes-based exploration approaches. The results show the performance of the approach regarding exploration efficiency, cost-awareness and suitability for application in real tactile sensing scenarios.

Exhaustive dithering algorithm for 3D shape reconstruction by fringe projection profilometry

2020 ◽  
Vol 59 (13) ◽  
pp. D31 ◽  
Author(s):  
Adriana Silva ◽  
Antonio Muñoz ◽  
Jorge L. Flores ◽  
Jesus Villa
Keyword(s):  
Shape Reconstruction ◽  
Fringe Projection ◽  
3D Shape ◽  
3D Shape Reconstruction ◽  
Fringe Projection Profilometry
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