Article
Optics
Boya Fu, Renzhi He, Yilin Yuan, Wenchao Jia, Shichao Yang, Fei Liu
Summary: This paper proposes a robust shape from focus (SFF) method by calculating the gradient of the focus measure curve and using an adaptive derivative step to find the best focused position. The method achieves high accuracy and strong robustness without any additional pre-work or constraints.
OPTICS AND LASERS IN ENGINEERING
(2023)
Review
Mathematics
Dalibor Martisek, Karel Mikulasek
Summary: Shape-from-Focus methods have been developed for about twenty years, which can obtain the shape of 3D objects from a series of partially focused images. By identifying focused parts and composing a fully focused 2D image, these methods reconstruct a 3D profile of the surface to be observed.
Article
Anatomy & Morphology
Seong-O Shim
Summary: The focus from touch technique involves recovering the shape of an object through multiple images taken at different focus settings. Traditional methods often fail to accurately measure focus values due to varying focus levels in neighboring pixels of curved objects with limited depth of field. The proposed method in this article improves accuracy by searching for a tangential plane on each pixel location and applying focus measures on neighboring pixels lying on that plane.
MICROSCOPY RESEARCH AND TECHNIQUE
(2022)
Article
Computer Science, Information Systems
Hulya Dogan
Summary: Shape From Focus (SFF) is a popular strategy for reconstructing object's 3D shape, but it has several shortcomings. This study proposes an unsupervised deep learning-based SFF strategy that offers higher performance and quality.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Anatomy & Morphology
Hoon-Seok Jang, Guhnoo Yun, Husna Mutahira, Mannan Saeed Muhammad
Summary: A new focus measure operator based on the adaptive sum of weighted modified Laplacian is proposed in this research, which uses GLV to select window size and assigns appropriate weights to Modified Laplacian values based on pixel distances, with experimental results demonstrating its effectiveness.
MICROSCOPY RESEARCH AND TECHNIQUE
(2021)
Article
Computer Science, Artificial Intelligence
Usman Ali, Muhammad Tariq Mahmood
Summary: This paper proposes a method to refine FV by formulating an energy minimization framework and incorporating two types of shape priors, which improves the accuracy and efficiency of 3D shape reconstruction. Experimental results demonstrate that the proposed method outperforms existing approaches in terms of accuracy and convergence speed.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Biochemical Research Methods
Zeqing Zhang, Fei Liu, Zhenjiang Zhou, Yong He, Hui Fang
Summary: This study proposed a new method to measure the roughness of plant leaves surface, using an imaging system and SFF algorithm to obtain precise 3D reconstruction and small-scale surface roughness measurement. Compared to optical three-dimensional interference microscope, this method preserves overall topography of the leaf surface and achieves superior cost performance.
Article
Computer Science, Artificial Intelligence
Yang Yang, Junwei Han, Dingwen Zhang, Qi Tian
Summary: This study proposes a method for 3D shape reconstruction using rich intermediate representations through a newly designed network architecture. By utilizing a two-stream network and a shape transformation network, detailed features of the entire 3D object shapes are successfully reconstructed.
PATTERN RECOGNITION
(2022)
Article
Computer Science, Artificial Intelligence
Yudong Guo, Lin Cai, Juyong Zhang
Summary: This method introduces a novel approach to jointly learn 3D face parametric model and 3D face reconstruction from diverse sources, which differs from previous methods that typically only learn from one source. By utilizing training data from more sources, a more powerful face model can be learned.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Engineering, Mechanical
Vignesh Srikumar Mekhala, Senthilnathan Ranganathan
Summary: This study presents the development of a 3D reconstruction system based on active illuminated Shape from focus. An algorithm is introduced to select the most suitable image frame based on focus metrics, enhancing the accuracy of depth interpretation. Comparative analysis shows significant improvements in accuracy and performance, further enhanced by median filtering.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2023)
Article
Chemistry, Analytical
Jona Gladines, Seppe Sels, Johan Blom, Steve Vanlanduit
Summary: A two-step shape-from-focus measurement approach is proposed in this paper, which can improve speed by 40%. By using a faster profilometry technique to create a coarse measurement of an unknown target, data capture can be limited to required frames, significantly enhancing measurement and processing speed.
Article
Computer Science, Artificial Intelligence
Jose M. Navarro-Jimenez, Jose Aguado, Gregoire Bazin, Vicente Albero, Domenico Borzacchiello
Summary: This study proposes a method for fast digitization using partial scans and statistical shape analysis. By extracting a low-dimensional description of shape variability and reconstruction algorithm, accurate and complete digitization can be achieved. The tests conducted on aeronautical fuselage panels showed an 80% reduction in digitization time while maintaining high precision.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Chemistry, Analytical
Jona Gladines, Seppe Sels, Michael Hillen, Steve Vanlanduit
Summary: In 3D printing, an accurate 3D measurement method is required to evaluate the quality of printed parts. This research presents a novel methodology that allows shape-from-focus to be used in a continuous scanning motion, making it applicable to the 3D manufacturing process.
Article
Computer Science, Software Engineering
Zipeng Ye, Mengfei Xia, Yanan Sun, Ran Yi, Minjing Yu, Juyong Zhang, Yu-Kun Lai, Yong-Jin Liu
Summary: In this paper, a deep neural network model is proposed to generate high-quality 3D caricatures directly from normal 2D face photos. The challenging problem of the significant difference between face photos and 3D caricatures is addressed through a large dataset and novel loss functions based on psychological studies. Experimental results demonstrate the effectiveness of the proposed system.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2023)
Article
Engineering, Electrical & Electronic
Audrius Kulikajevas, Rytis Maskeliunas, Robertas Damasevicius
Summary: This study proposes a three-stage deep auto-refining adversarial neural network for denoising and refining real-world depth data to achieve full human body posture shape completion. The results show that the proposed solution performs on par with other state-of-the-art approaches in both EarthMover's and Chamfer distances, while also being able to reconstruct from mask-less depth frames. Visual inspection demonstrates great adaptation capabilities to the majority of real-world depth sensor noise deformities for both LiDAR and structured light depth sensors.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Software Engineering
Syed Ahsin Ali Shah, Wajid Aziz, Malik Sajjad Ahmed Nadeem, Majid Almaraashi, Seong-O. Shim, Turki M. Habeebullah
SCIENTIFIC PROGRAMMING
(2019)
Article
Telecommunications
Hafiza Syeda Zainab Kazmi, Nadeem Javaid, Muhammad Awais, Muhammad Tahir, Seong-o Shim, Yousaf Bin Zikria
Summary: This article investigates the transmission rate and fault detection in wireless sensor networks. Transmission rate control methods are proposed and support vector machine (SVM) is used for congestion control. By adjusting SVM parameters, classification errors are reduced. For fault detection, an enhanced random forest is introduced to detect faults in sensor readings and outperforms other techniques.
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
(2022)
Article
Geochemistry & Geophysics
Lal Hussain, Wajid Aziz, Sharjil Saeed, Muhammad Rafique, Malik Sajjad Ahmed Nadeem, Seong-O Shim, Sania Aftar, Jawad-ur-Rehman Pirzada
Article
Optics
Seong-O Shim
Article
Oncology
Noorulain Maroof, Asifullah Khan, Shahzad Ahmad Qureshi, Aziz ul Rehman, Rafiullah Khan Khalil, Seong-O Shim
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY
(2020)
Article
Anatomy & Morphology
Seong-O Shim
Summary: The focus from touch technique involves recovering the shape of an object through multiple images taken at different focus settings. Traditional methods often fail to accurately measure focus values due to varying focus levels in neighboring pixels of curved objects with limited depth of field. The proposed method in this article improves accuracy by searching for a tangential plane on each pixel location and applying focus measures on neighboring pixels lying on that plane.
MICROSCOPY RESEARCH AND TECHNIQUE
(2022)
Article
Mathematical & Computational Biology
Syed Ahsin Ali Shah, Wajid Aziz, Majid Almaraashi, Malik Sajjad Ahmed Nadeem, Nazneen Habib, Seong-O Shim
Summary: The study developed a hybrid model for accurate prediction of PM10 and PM2.5 concentrations using multiscale characterization and machine learning techniques. Results showed that the EMD-FFNN model performed the best on the Misfalah, Makkah data set, while the EMD-kNN and EMD-AdaBoost models performed the best on the Delhi, India data set. These findings suggest that EMD-ML models can be effectively used for forecasting PM mass concentrations and developing rapid air quality warning systems.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2021)
Article
Computer Science, Theory & Methods
Seong-O Shim
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
(2020)
Article
Computer Science, Artificial Intelligence
Seong-O Shim, Soltan Alharbi, Ishtiaq Rasool Khan, Wajid Aziz
ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING
(2020)
Article
Computer Science, Information Systems
Muhammad Jawad, Malik Sajjad Ahmed Nadeem, Seong-O Shim, Ishtiaq Rasool Khan, Aliya Shaheen, Nazneen Habib, Lal Hussain, Wajid Aziz
Article
Computer Science, Information Systems
Ishtiaq Rasool Khan, Wajid Aziz, Seong-O. Shim
Article
Computer Science, Information Systems
Maryum Bibi, Malik Sajjad Ahmed Nadeem, Imtiaz Hussain Khan, Seong-O Shim, Ishtiaq Rasool Khan, Uzma Naqvi, Wajid Aziz
Article
Computer Science, Information Systems
Muhammad Hammad Waseem, Malik Sajjad Ahmed Nadeem, Assad Abbas, Aliya Shaheen, Wajid Aziz, Adeel Anjum, Umar Manzoor, Muhammad A. Balubaid, Seong-O Shim
Article
Computer Science, Information Systems
Muhammad Rehan Abbas, Malik Sajjad Ahmed Nadeem, Aliya Shaheen, Abdulrahman A. Alshdadi, Riad Alharbey, Seong-O Shim, Wajid Aziz
Article
Computer Science, Information Systems
Seong-O Shim, Wajid Aziz, Ameen Banjar, Abdullah Alamri, Mohammed Alqarni
Article
Optics
Yin Xiao, Lina Zhou, Wen Chen
Summary: This paper introduces a correspondence imaging approach for reconstructing high-quality objects through complex scattering media. By deriving a rectified theory and introducing temporal correction, the proposed method eliminates the effect of dynamic scaling factors. Experimental results demonstrate the advantages of the proposed method over conventional methods in complex scattering environments, and it can also be combined with other methods to further enhance the quality of reconstructed objects.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Zengxuan Jiang, Minghao Chao, Qingsong Liu, Bo Cheng, Guofeng Song, Jietao Liu
Summary: In this paper, a multi-focal metalens with high focusing efficiency controlled by circular polarization multiplexing is demonstrated. The metalens can generate four transversely distributed focal points under normal incidence of linearly polarized light, supporting both left-circularly polarized and right-circularly polarized conversion. Furthermore, an oblique incidence metalens is designed to achieve high total focusing efficiency for terahertz waves and provides potential new applications for polarization imaging and detection.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Yiran Wang, Yu Ji, Xuyang Zhou, Xiu Wen, Yutong Li, Zhengjun Liu, Shutian Liu
Summary: This work presents a new reconstruction framework for structured illumination microscopy (SIM), which only requires four raw images and avoids extensive iterative computation. By using checkerboard pattern illumination modulation instead of sinusoidal fringe illumination, the proposed method significantly reduces image acquisition time and achieves higher image reconstruction rate. Additionally, the reconstruction process is non-iterative and not limited by the field of view size.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Qian He, Li Pei, Jianshuai Wang, Jingjing Zheng, Tigang Ning, Jing Li
Summary: This paper proposes a 3D refractive index profile visualization method to demonstrate mode activation and evolution in fiber fusion splicing. The method is validated through experimental results and provides support for various fiber splicing operations and mode coupling modulation.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Qiwei Li, Qiyu Wang, Fang Lu, Yang Cao, Xu Zhao
Summary: LSHIP is a lenslet-array-based snapshot hyperspectral imaging polarimeter that combines spectral polarization modulation with integral field imaging spectrometry. It can simultaneously acquire three-dimensional spatial and spectral data-cubes for linear Stokes parameters in a single snapshot.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Huicong Li, Bing Lv, Meng Tian, Wenzhu Huang, Wentao Zhang
Summary: This study proposes a temperature compensation scheme for unbalanced interferometers using sensing fibers with different temperature coefficients, aiming to resolve the temperature disturbance and achieve high strain resolution. The experimental results confirm the effectiveness of the proposed scheme in high-resolution, long-term, low-frequency, and static strain sensing.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Hongxiang Chang, Rongtao Su, Yuqiu Zhang, Bowang Shu, Jinhu Long, Jinyong Leng, Pu Zhou
Summary: High-speed variable-focus optics provides new opportunities for fiber laser applications in various fields. This paper investigates a non-mechanical axial focus tuning method using coherent beam combining (CBC) technique and proposes a tilt modulation assisted method to extend the tuning range.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Yubo Ni, Shuai Fu, Chaoyang Su, Zhaozong Meng, Nan Gao, Zonghua Zhang
Summary: This paper proposes a surface adaptive fringe pattern generation method to accurately measure specular surfaces, eliminating the out-of-focus effect and improving measurement accuracy and reliability.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Zifan Wang, Tianfeng Zhou, Qian Yu, Zihao Zeng, Xibin Wang, Junjian Hu, Jiyong Zeng
Summary: Fast-axis collimation (FAC) lens arrays are crucial in laser systems, and their precision can be improved through the development of an optical collimation system and the use of thermal compensation to correct for non-uniform thermal expansion.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Jincheng Chen, Qiuyu Fang, Li Huang, Xin Ye, Luhong Jin, Heng Zhang, Yinqian Luo, Min Zhu, Luhao Zhang, Baohua Ji, Xiang Tian, Yingke Xu
Summary: This study developed a novel deep learning accelerated SRRF method that enables super-resolution reconstruction with only 5 low SNR images, and allows real-time visualization of microtubule dynamics and interactions with CCPs.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Pan Liu, Yongqiang Zhao, Ning Li, Kai Feng, Seong G. Kong, Chaolong Tang
Summary: This article presents a technique for inverse design of multilayer deep-etched gratings (MDEG) using a deep neural network with adaptive solution space. The proposed method trains a deep neural network to predict the probability distribution across the discretized space, enabling evaluation of an optimal solution. The results show improved efficiencies using only a reduced dataset and avoiding one-to-many mapping challenges.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Evelina Bibikova, Nazar Al-wassiti, Nataliya Kundikova
Summary: Light beams possess three types of angular momentum, namely spin angular momentum, extrinsic orbital angular momentum, and intrinsic orbital angular momentum. The interaction between these momenta leads to the spin-orbit interaction of light and topological effects. This study predicts a new topological effect resulting from the influence of extrinsic orbital angular momentum on spin angular momentum in converging asymmetrical light beams. It manifests as the transformation of linear polarized light into elliptically polarized light when an asymmetrical beam passes through the left or right half of the focal plane. The measured value of the topological circular amplitude anisotropy R was found to be R = +/- (0.60 +/- 0.08) x 10(-3). This new effect contributes to our understanding of light and has potential applications in developing sensors in optics.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Hamdy H. Wahba
Summary: This study combines multiple-beam Fizeau interference and single-shot digital holographic interferometry to study thick phase objects. By collecting optical phase at different focal planes, the angular spectrum method is used for the first time to retrieve optical phase maps through the focal depth. The proposed method proves to be effective in providing accurate numerical focusing and phase maps reconstruction.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Mohammed A. Isa, Richard Leach, David Branson, Samanta Piano
Summary: Due to the complexity of resolving object form and pose in images, new vision algorithms prioritize identification and perception over accurate coordinate measurement. However, the use of planar targets for coordinate measurement in vision systems has several drawbacks, including calibration difficulties and limited viewing angles. On the other hand, the use of sphere targets is infrequent in vision-based coordinate metrology due to the lack of efficient multi-view vision algorithms for accurate sphere measurements.
OPTICS AND LASERS IN ENGINEERING
(2024)
Article
Optics
Ildar Rakhmatulin, Donald Risbridger, Richard M. Carter, M. J. Daniel Esser, Mustafa Suphi Erden
Summary: This paper reviews the application of machine learning in laser systems. While machine learning has been widely used in general control automation and adjustment tasks, its application in specific tasks requiring skilled workforces for high-precision equipment assembly and adjustment is still limited. The paper presents promising research directions for using machine learning in mirror positional adjustment, triangulation, and optimal laser parameter selection, based on the recommendations of PRISMA.
OPTICS AND LASERS IN ENGINEERING
(2024)
