Automatic 3D color shape measurement system based on a stereo camera

Lin, Tzung-Han

doi:10.1364/ao.384222

Cited by 14 publications

(5 citation statements)

References 29 publications

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“…Novel methods in surface profile acquisition have to be developed. Fortunately, with the invention of 3D vision systems, the topology of a sample can be reconstructed even at rates of 20 frames per seconds; this has proved to be helpful for capsule endoscopy, 118,119 for instance. We envisage that the inclusion of 3D stereo cameras on robotic-based THz systems for real-time noncontact examination will open new opportunities for THz in vivo biological imaging, which may serve as a complementary tool for clinical diagnosis.…”

Section: Handheld Endoscopic and Robotic Geometriesmentioning

confidence: 99%

Terahertz (THz) biophotonics technology: Instrumentation, techniques, and biomedical applications

Chen

Lindley-Hatcher

Stantchev

et al. 2022

Chemical Physics Reviews

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Terahertz (THz) technology has experienced rapid development in the past two decades. Growing numbers of interdisciplinary applications are emerging, including materials science, physics, communications, and security as well as biomedicine. THz biophotonics involves studies applying THz photonic technology in biomedicine, which has attracted attention due to the unique features of THz waves, such as the high sensitivity to water, resonance with biomolecules, favorable spatial resolution, capacity to probe the water–biomolecule interactions, and nonionizing photon energy. Despite the great potential, THz biophotonics is still at an early stage of development. There is a lack of standards for instrumentation, measurement protocols, and data analysis, which makes it difficult to make comparisons among all the work published. In this article, we give a comprehensive review of the key findings that have underpinned research into biomedical applications of THz technology. In particular, we will focus on the advances made in general THz instrumentation and specific THz-based instruments for biomedical applications. We will also discuss the theories describing the interaction between THz light and biomedical samples. We aim to provide an overview of both basic biomedical research as well as pre-clinical and clinical applications under investigation. The paper aims to provide a clear picture of the achievements, challenges, and future perspectives of THz biophotonics.

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Section: Handheld Endoscopic and Robotic Geometriesmentioning

confidence: 99%

Terahertz (THz) biophotonics technology: Instrumentation, techniques, and biomedical applications

Chen

Lindley-Hatcher

Stantchev

et al. 2022

Chemical Physics Reviews

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“…Structured light scanners are also used for a shape measurement and a 3D object surface reconstruction. Lin et al have proposed 1 http://www.zefirus.org/en/linematchgan an automatic 3D color shape measurement system (Lin, 2020) based on images recorded by a stereo camera was developed. Also 3D shape measurement techniques have been widely used in industrial inspection, intelligent manufacturing, reverse engineering, and many other aspects (Salvi et al, 2010, Gupta et al, 2011.…”

Section: Structured Light Scannersmentioning

confidence: 99%

Dense 3d Object Reconstruction Using Structured-Light Scanner and Deep Learning

Kniaz

Mizginov

Grodzitkiy

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Structured light scanners are intensively exploited in various applications such as non-destructive quality control at an assembly line, optical metrology, and cultural heritage documentation. While more than 20 companies develop commercially available structured light scanners, structured light technology accuracy has limitations for fast systems. Model surface discrepancies often present if the texture of the object has severe changes in brightness or reflective properties of its texture. The primary source of such discrepancies is errors in the stereo matching caused by complex surface texture. These errors result in ridge-like structures on the surface of the reconstructed 3D model. This paper is focused on the development of a deep neural network LineMatchGAN for error reduction in 3D models produced by a structured light scanner. We use the pix2pix model as a starting point for our research. The aim of our LineMatchGAN is a refinement of the rough optical flow A and generation of an error-free optical flow B̂. We collected a dataset (which we term ZebraScan) consisting of 500 samples to train our LineMatchGAN model. Each sample includes image sequences (Sl, Sr), ground-truth optical flow B and a ground-truth 3D model. We evaluate our LineMatchGAN on a test split of our ZebraScan dataset that includes 50 samples. The evaluation proves that our LineMatchGAN improves the stereo matching accuracy (optical flow end point error, EPE) from 0.05 pixels to 0.01 pixels.

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“…It can make the conversion from object to data come true. And 3D entities can be duplicated with the help of 3D printer, which helps to motivate our imagination and creativity, and also enriches our life [5,6].…”

Section: Introductionmentioning

confidence: 99%

Research on laser stripe characteristics and center extraction algorithm for desktop laser scanner

et al. 2021

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This study presents laser stripe center extraction algorithm for desktop-level 3D laser scanners. The laser stripe center extraction accuracy is an important factor affecting 3D scanning result. Desktop-level devices should have adaptability of a wide range of scanning objects. In this paper, laser stripe energy distribution characteristics with different laser stripe width, ambient light, materials and colors are obtained by experiments. Experiment results show that waveforms of bright spot, low brightness stripe and stripe with large width are complex or easily disturbed, so the center extraction algorithm of them are studied. The extraction effects of extremum method, gradient method and gray centroid method under different conditions are compared. Based on traditional grayscale value, a weighted grayscale value is proposed to extract laser stripe center. Standard deviations of extracted pixel position and fitting pixel position are calculated by different method with different weighted grayscale value. For different conditions, especially for different ambient light intensity, weight matrix plays an important role to extraction result.

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Automatic 3D color shape measurement system based on a stereo camera

Cited by 14 publications

References 29 publications

Terahertz (THz) biophotonics technology: Instrumentation, techniques, and biomedical applications

Terahertz (THz) biophotonics technology: Instrumentation, techniques, and biomedical applications

Dense 3d Object Reconstruction Using Structured-Light Scanner and Deep Learning

Research on laser stripe characteristics and center extraction algorithm for desktop laser scanner

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