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Compressing 3d imaging by coded aperture correlation digital holography

Compressing 3D imaging by coded aperture correlation digital...

3d image acquisition and display: technology, perception and applications, 3d 2020 - Part of Imaging and Applied Optics Congress

作者： Liu, Chao Wan, Yuhong Man, Tianlong Qin, Yi College of Applied Sciences Beijing University of Technology 100 Ping Le Yuan Chaoyang District Beijing100124 China College of Mechanical and Electrical Engineering Nanyang Normal University Nanyang473061 China Department of Physics and Astronomy Vrije Universiteit Amsterdam Netherlands

Compressive reconstruction algorithm based adaptive dictionary learning is developed and used for single-exposure non-scanning 3d imaging by interferenceless Coded Aperture Correlation Holography. Background noise and... 详细信息

ISBN: (纸本)9781557528209

关键词： Holography

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Plant cell observation by TIE-based fluorescence imaging

Plant cell observation by TIE-based fluorescence imaging

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3d image acquisition and display: technology, perception and applications, 3d 2020 - Part of Imaging and Applied Optics Congress

作者： Rajput, Sudheesh K. Matoba, Osamu Kumar, Manoj Quan, Xiangyu Awatsuji, Yasuhiro Tamada, Yosuke Graduate School of System Informatics Kobe University Rokkodai 1-1 Nada Kobe657-8501 Japan Faculty of Electrical Engineering and Electronics Kyoto Institute of Technology Matsugasaki Sakyo-ku Kyoto606-8585 Japan School of Engineering Utsunomiya University 7-1-2 Yoto Utsunomiya321-8585 Japan

ISBN: (纸本)9781557528209

We present fluorescence imaging of plant cells based on transport of intensity equation and Fresnel propagation. At first, the phase distribution is obtained from the recorded three-defocus fluorescence intensity images and then from phase and corresponding intensity defocus image, the focus images of plant cell sample can be retrieved at various planes after free space propagation. © OSA 2020

关键词： Fluorescence imaging

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Automated detection of defects with low semantic information in X-ray images based on deep learning

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JOURNAL OF INTELLIGENT MANUFACTURING 2021年第1期32卷 141-156页

作者： du, Wangzhe Shen, Hongyao Fu, Jianzhong Zhang, Ge Shi, Xuanke He, Quan Zhejiang Univ Coll Mech Engn State Key Lab Fluid Power & Mechatron Syst Hangzhou 310027 Peoples R China Zhejiang Univ Coll Mech Engn Key Lab 3D Printing Proc & Equipment Zhejiang Pro Hangzhou 310027 Peoples R China

Nondestructive testing using X-ray imaging has been widely adopted in the defect detection of casting parts for quality management. deep learning has been proved to be an effective way to detect defects in X-ray images. In this work, Feature Pyramid Network (FPN) which has been utilized broadly in many applications is adopted as our baseline. In FPN, there mainly exits two issues: firstly, down sampling operation in Convolutional Neural Network is often utilized to enhance the perception field, causing the loss of location information in feature maps, and secondly, there exists feature imbalance in feature maps and proposals. detNet and Path Aggregation Network are adopted to solve the two shortages. To further improve the recall rate, soft Non-Maximum Suppression (soft-NMS) is adopted to remain more proposals that have high classification confidence. defects in X-ray images of casting parts are provided with low semantic information, causing the different instances between detection results and annotations in the same area. We propose soft Intersection Over Union (soft-IOU) criterion which could evaluate several results or ground truths in the near area, making it more accurate to evaluate detection results. The experimental results demonstrate that the three proposed strategies have better performance than the baseline for our dataset.

关键词： defect detection Casting parts deep learning X-ray image Computer vision

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Multi-sensor spatial augmented reality for visualizing the invisible thermal information of 3d objects

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OPTICS ANd LASERS IN ENGINEERING 2021年 145卷 106634-106634页

作者： Cao, Yanpeng dong, Yafei Wang, Fan Yang, Jiangxin Cao, Yanlong Li, Xin Zhejiang Univ Sch Mech Engn State Key Lab Fluid Power Transmiss & Control Hangzhou 310027 Peoples R China Zhejiang Univ Sch Mech Engn Key Lab Adv Mfg Technol Zhejiang Prov Hangzhou 310027 Peoples R China Louisiana State Univ Sch Elect Engn & Comp Sci EECS Baton Rouge LA 70803 USA

In recent years, infrared imaging technology has been widely used to capture valuable thermal information of target objects for various applications such as construction engineering, advanced manufacturing, and medical diagnosis. However, it still remains a challenging task to visualize the invisible thermal information of three-dimensional objects for further evaluation and decision making. In this paper, we build a multi-sensor system consisting of a long-wave infrared camera, a RGBd camera, and a digital projector for multimodal data acquisition, real-time 3d thermographic reconstruction, and projector-based spatial augmented reality. We propose a hybrid method that combines the benefits of model-based ray casting and frame-based image warping to generate high-quality projected images with complete view coverage and abundant thermal details for visualizing the invisible thermal information on 3d objects. The effectiveness of the proposed method has been validated for two typical thermal imaging applications including human body temperature monitoring and non-destructive evaluation of composite materials.

关键词： Thermal imaging Spatial augmented reality 3d reconstruction Multi-sensor system Non-destructive testing

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3d point cloud capture method for underwater structures in turbid environment

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MEASUREMENT SCIENCE ANd technology 2021年第2期32卷

作者： Lin, Haitao Zhang, Hua Li, Yonglong Wang, Haoran Li, Jialong Wang, Shuang Southwest Univ Sci & Technol Sch Informat Engn Mianyang Sichuan Peoples R China Tsinghua Univ Sichuan Energy Intelnet Res Inst Chengdu Sichuan Peoples R China

Underwater structure inspections are essential for infrastructure maintenance, such as hydraulic facilities, bridges, and ports. due to the influence of turbidity, dark light, and distortion, the traditional methods cannot satisfy the requirements of on-site inspection applications. This paper proposed a methodology of the point cloud data capture in the turbid underwater environment. The method consisted of an acquisition device, a distortion correction algorithm, and a parameter optimization approach. The acquisition device was designed by composing a silt-removing module, a structured light camera module, and a clear water replacement module, which can integrate with an underwater inspection robot. The underwater multi-medium plane refraction distortion model was established through analysis, and a refraction correction algorithm was provided to correct the distortion. To obtain the maximum field of view of the point cloud, the nonlinear optimization approach was used to select the medium material and thickness. After the real experiments using the Intel RealSense sr300 depth camera, maximum measuring distance could range up to 253 mm in water, the accuracy of the point cloud of the underwater target objects was +/- 3.77 mm, and the maximum error was 8.76%. Compared with other methods, this method was more suitable for 3d point cloud capture in the turbidity environment.

关键词： structured light underwater imaging underwater 3d point cloud image distortion underwater measurement

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A Spatial-temporal Multiplexing Method for dense 3d Surface Reconstruction of Moving Objects

A Spatial-temporal Multiplexing Method for Dense 3D Surface ...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Sui, Congying He, Kejing Wang, Zerui Lyu, Congyi Guo, Huiwen Liu, Yun-Hui Chinese Univ Hong Kong T Stone Robot Inst Shatin Hong Kong Peoples R China Chinese Univ Hong Kong Dept Mech & Automat Engn Shatin Hong Kong Peoples R China Smarteye Tech Shenzhen Peoples R China

ISBN: (纸本)9781728173955

Three-dimensional reconstruction of dynamic objects is important for robotic applications, for example, the robotic recognition and manipulation. In this paper, we present a novel 3d surface reconstruction method for moving objects. The proposed method combines the spatial-multiplexing and time-multiplexing structured-light techniques that have advantages of less image acquisition time and accurate 3d reconstruction, respectively. A set of spatial-temporal encoded patterns are designed, where a spatial-encoded texture map is embedded into the temporal-encoded three-step phase-shifting fringes. The specifically designed spatial-coded texture assigns high-uniqueness codeword to any window on the image which helps to eliminate the phase ambiguity. In addition, the texture is robust to noise and image blur. Combining this texture with high-frequency phase-shifting fringes, high reconstruction accuracy would be ensured. This method only requires 3 patterns to uniquely encode a surface, which facilitates the fast image acquisition for each reconstruction step. A filtering stereo matching algorithm is proposed for the spatial-temporal multiplexing method to improve the matching reliability. Moreover, the reconstruction precision is further enhanced by a correspondence refinement algorithm. Experiments validate the performance of the proposed method including the high accuracy, the robustness to noise and the ability to reconstruct moving objects.

关键词： Textures

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Recent Advances in 3d data acquisition and Processing by Time-of-Flight Camera

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IEEE ACCESS 2019年 7卷 12495-12510页

作者： He, Yu Chen, Shengyong Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou 310023 Zhejiang Peoples R China Tianjin Univ Technol Coll Comp Sci & Engn Tianjin 300384 Peoples R China

Three-dimensional (3d) data acquisition and real-time processing is a critical issue in an artificial vision system. The developing time-of-flight (TOF) camera as a real-time vision sensor for obtaining depth images has now received wide attention, due to its great potential in many areas, such as 3d perception, computer vision, robot navigation, human-machine interaction, augmented reality, and so on. This paper survey advances in TOF imaging technology mainly from the last decade. We focus only on recent progress of overcoming limitations such as systematic errors, object boundary ambiguity, multipath error, phase wrapping, and motion blur, and address the theoretical principles and future research trends as well.

关键词： Vision sensor time of flight depth image sensing device computer vision 3d vision

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design of three-dimensional gesture recognition and motion tracking human-computer intelligent interaction system based on PAJ7620

Design of three-dimensional gesture recognition and motion t...

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2021 International Conference on Information technology and Intelligent Control, CITIC 2021

作者： Wang, Jian-Liang Wei, Ye Li, Yang Meng, Yuan Li, Ming-Yu Xu, Jiang-Yan Jiao, Wan-Ming Ban, Lan Liu, Jun-Pei Zhang, Hong-Feng Zhang, Wei Wang, Li-Na Luo, Fu-Chen Wang, Yu-duo Tianjin College University of Science and Technology Beijing Tianjin China Civil Aviation University of China Tianjin Key Laboratory of Intelligent Signal and Image Processing Tianjin China Tianjin Normal University Tianjin Key Laboratory of Wireless Mobile Communication and Radio Energy Transmission Tianjin China Binhai College Nankai University Tianjin China Tianjin Tianshi College Tianjin China

With the increasing degree of informatization and intelligence in modern society, human-computer interaction technology has become one of the commonly used scientific and technological achievements. "Gesture" can be used as inputing image information, and make more intuitive and convenient for perception of user interface. To a certain extent, it can complete the intelligent interaction function between human and computer. The design is a human-computer intelligent interaction system for 3d gesture recognition and motion tracking based on gesture sensor PAJ7620. STM32 chip is used as the main control unit to recognize accurately, analyze and process different gestures collected by the gesture sensor, and control the OLEd screen to display the gesture information. It can further drive the carrier to take corresponding actions and realize the intelligent human-computer interaction recognition of gestures. The experimental test results show that the recognition rate is lose to 100% when the distance is within 10cm. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Gesture recognition

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深度学习单目深度估计研究进展

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中国图象图形学报 2022年第2期27卷 390-403页

作者：罗会兰周逸风江西理工大学信息工程学院赣州341000

单目深度估计是从单幅图像中获取场景深度信息的重要技术,在智能汽车和机器人定位等领域应用广泛,具有重要的研究价值。随着深度学习技术的发展,涌现出许多基于深度学习的单目深度估计研究,单目深度估计性能也取得了很大进展。本文按照... 详细信息

单目深度估计是从单幅图像中获取场景深度信息的重要技术,在智能汽车和机器人定位等领域应用广泛,具有重要的研究价值。随着深度学习技术的发展,涌现出许多基于深度学习的单目深度估计研究,单目深度估计性能也取得了很大进展。本文按照单目深度估计模型采用的训练数据的类型,从3个方面综述了近年来基于深度学习的单目深度估计方法:基于单图像训练的模型、基于多图像训练的模型和基于辅助信息优化训练的单目深度估计模型。同时,本文在综述了单目深度估计研究常用数据集和性能指标基础上,对经典的单目深度估计模型进行了性能比较分析。以单幅图像作为训练数据的模型具有网络结构简单的特点,但泛化性能较差。采用多图像训练的深度估计网络有更强的泛化性,但网络的参数量大、网络收敛速度慢、训练耗时长。引入辅助信息的深度估计网络的深度估计精度得到了进一步提升,但辅助信息的引入会造成网络结构复杂、收敛速度慢等问题。单目深度估计研究还存在许多的难题和挑战。利用多图像输入中包含的潜在信息和特定领域的约束信息,来提高单目深度估计的性能,逐渐成为了单目深度估计研究的趋势。

关键词：单目视觉场景感知深度学习 3维重建深度估计

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Fast multi-view image rendering method based on reverse search for matching

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OPTIK 2019年 180卷 953-961页

作者： Lin, JianPu Wang, WeiXing Yao, JianMin Guo, TaiLiang Chen, Enguo Yan, Qun Frank Fuzhou Univ Natl & Local United Engn Lab Flat Panel Display T Fuzhou 350116 Fujian Peoples R China

In a traditional multi-view image generation algorithm, partial image information might be lost at the pixel mapping step during the 3d image acquisition. A lower hardware cost and shorter operation time can be realized if an effective algorithm is employed. Therefore, a fast multi-view image rendering method based on reverse search is proposed in this paper, it uses pixel mapping information to derive a rendering image. Compared with the conventional depth-image-based rendering (dIBR) which using multiple images, the method only generates one image with reverse mapping in the image rendering step. First, the parallax range of the original image is calculated. Then, a warping image is generated through reverse mapping;this image has contained information for eight different viewpoints. Finally, the image modification can be made. Experimental results show that the proposed method effectively reduces rendering time and memory size by 58.82% and 83.78%, respectively. In addition, the mean structural similarity between the two images created by dIBR and our method is 1, which means that our method has the same effect as dIBR.

关键词： Reverse search Matching Multi view image generation algorithm depth-image-based rendering Parallax matrix 3d display 3d image

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