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A 360-Degree panoramic image Inpainting Network Using a Cube Map

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Computers, Materials & Continua 2021年第1期66卷 213-228页

作者： Seo Woo Han Doug Young Suh Department of Electronic Engineering Kyung Hee UniversityYoungin17104South Korea

Inpainting has been continuously studied in the field of computer *** artificial intelligence technology developed,deep learning technology was introduced in inpainting research,helping to improve ***,the input target of an inpainting algorithm using deep learning has been studied from a single image to a ***,deep learning-based inpainting technology for panoramic images has not been actively *** propose a 360-degree panoramic image inpainting method using generative adversarial networks(GANs).The proposed network inputs a 360-degree equirectangular format panoramic image converts it into a cube map format,which has relatively little distortion and uses it as a training *** the cube map format is used,the correlation of the six sides of the cube map should be ***,all faces of the cube map are used as input for the whole discriminative network,and each face of the cube map is used as input for the slice discriminative network to determine the authenticity of the generated *** proposed network performed qualitatively better than existing single-image inpainting algorithms and baseline algorithms.

关键词： panoramic image image inpainting cube map generative adversarial networks

Perceptual quality assessment of panoramic stitched contents for immersive applications:a prospective survey

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Virtual Reality & Intelligent Hardware 2022年第3期4卷 223-246页

作者： Hayat ULLAH Sitara AFZAL Imran Ullah KHAN Department of Computer Science Kansas State UniversityManhattanKS 66506USA Department of Software Sejong UniversitySeoul 143-747Republic of Korea

The recent advancements in the field of Virtual Reality(VR)and Augmented Reality(AR)have a substantial impact on modern day technology by digitizing each and everything related to human life and open the doors to the next generation Software Technology(Soft Tech).VR and AR technology provide astonishing immersive contents with the help of high quality stitched panoramic contents and 360°imagery that widely used in the education,gaming,entertainment,and production *** immersive quality of VR and AR contents are greatly dependent on the perceptual quality of panoramic or 360°images,in fact a minor visual distortion can significantly degrade the overall ***,to ensure the quality of constructed panoramic contents for VR and AR applications,numerous Stitched image Quality Assessment(SIQA)methods have been proposed to assess the quality of panoramic contents before using in VR and *** this survey,we provide a detailed overview of the SIQA literature and exclusively focus on objective SIQA methods presented till *** better understanding,the objective SIQA methods are classified into two classes namely Full-Reference SIQA and No-Reference SIQA *** class is further categorized into traditional and deep learning-based methods and examined their performance for SIQA ***,we shortlist the publicly available benchmark SIQA datasets and evaluation metrices used for quality assessment of panoramic *** last,we highlight the current challenges in this area based on the existing SIQA methods and suggest future research directions that need to be target for further improvement in SIQA domain.

关键词： Virtual reality Augmented reality panoramic image Immersive contents Stitched image quality assessment Deep learning Convolutional neural networks

CIRCUMFERENTIAL EQUISPACED CURVES'S image DETECTION TECHNIQUE AND ITS APPLAICATION ON RIFLING ANGLE MEASUREMENT

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Chinese Journal of Mechanical Engineering 2004年第4期17卷 519-523页

作者： ZhengJun ZhangWei ShiKeren DepartmentofMechanicalEngineering TsinghuaUniverseBeijing100084.China

Aiming at the parameter detection of the circumferential equispaced curves,and on the background of the rifling parameter detection, a panoramic image based detectiontechnique is proposed, which employs the panoramic image photographed by a tamper reflector and aCCD camera to detect the parameter of the circumferential equispaced curves. The effect of thesystem's off-center error, deflection error and pixel error on the parameter detection is analyzed,which shows that this technique make a good use of the property of the circumferential equispaced,and has a high power of anti off-center error and anti deflection error, resulting a high precisionat the parameter measurement on circumferential equispaced curves.

关键词： image detection panoramic image Circumferential equispaced curves Rifling

An image-Based Virtual Reality Prototype System

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Journal of Computer Science & Technology 1998年第5期13卷 475-480页

作者：蔡勇王平安吴恩华刘学慧李洪举孙庆杰 Computer Science Laboratory Institute of Software Chinese Academy of Sciences Beijing P.R. China Department of Computer Science Chinese University of Hong Kong P.R. China Faculty of Science and Technology University of Macau Macau

The most important goal of virtual reality is to create a virtual world by computers where users are allowed to view the environment and control the virtual objects interactively. naditionally virtual reality systems use 3D computer graphics to model and render a virtual environment in real time. However, this approach usually requires laborious modeling and expensive special-purpose rendering hardware. image-based rendering is a new approach in composing a virtual environment in which a set of panoramic images is used to compose the virtual environment and walking in the space is accomplished by 'hopping' to different panoramic points. This paper introduces an experimeatal image-based VR system. The techniques utilized in the system, in particular the authoring and interactive control tools of the system, are described in detail.

关键词： Virtual reality image-based rendering panoramic image

Research on panoramic Sea-sky line Extraction Algorithm

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Research on Panoramic Sea-sky line Extraction Algorithm

Integration and application of panorama field geological images and Google maps

作者： Li SU Yu-xin SUN Zhi-lin LIU Hao MENG College of Automation Harbin Engineering University

Small targets detection is one of the key technical problems in these fields such as maritime surveillance and disaster *** order to find the target as early as possible,the small target detection algorithm based on sea-sky line extraction is generally adopted,and the accurate extraction of the sea-sky line becomes the basis of the small target detection in the *** the panoramic sea images acquired by the catadioptric panoramic vision system,the sea-sky line extraction algorithm is studied in this *** specificity of panoramic vision system creating images makes sea-sky line in a panoramic image an approximate circle.A detection algorithm based on gradient direction is proposed to extract accurately the circular sea-sky *** results show the efficiency and superiority of the proposed method in this paper.

关键词： panoramic image Sea-sky line extraction Gradient direction Rough extraction Precise extraction

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Global Geology 2012年第1期15卷 35-41页

作者： XU Chunhui ZHENG Xishen LI Wenqing ZHANG Wei XUE Linfu College of Tourism and Geographical Sciences Jilin Normal University Siping 136000 Jilin China College of Earth Sciences Jilin University Changchun 130061 China Hydrogeological Survey of Jilin Province Changchun 130012 China

Panorama field geological image is an important form of displaying field geology information with high *** an example for Xingcheng,the authors studied the use of panorama field geological images based on the Flex for rich client display technology,application of Google maps API for Flash,and discussed construction method for field geological panoramic information system which created the rich client Internet application *** results indicate that using Google maps API to mark position and route of panoramic image collection point can be fully integrated field geological information and map *** can provide visual field geological information for *** program is characterized by quick execution speed,strong interaction and rich function,which promotes the users'experience effectively.

关键词： panoramic image Flex Google maps rich client

Improved Frame Difference Algorithm Based on CNN for Moving Target Detection

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Improved Frame Difference Algorithm Based on CNN for Moving ...

Super-Resolution image Reconstruction for Omni-Vision based on POCS

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作者： Xuanxuan Cui Weibin Zhang Dan Liu Nanjing University of Science and Technology School of Electronic and Optical Engineering Nanjing University of Science and Technology School of Computer Engineering Chang'an University School of Economics and Management

In order to improve the shortcomings of frame difference method in moving target detection and improve the accuracy and robustness of moving target detection,an improved frame difference method based on CNN is ***,in order to solve the problem of blind spot in autopilot and improve the safety of autopilot,SIFT algorithm is used to obtain the panoramic image of moving ***,frame difference method is adopted to obtain the foreground image,and then CNN is used to repair the foreground ***,SIFT is used to splicing the restored foreground image to obtain the panoramic image of the foreground *** simulation results show that the proposed algorithm is effective,efficient and accurate in the extraction and repair of moving *** the proposed method,a complete panoramic image of moving targets can be obtained.

关键词： Autopilot SIFT Algorithm CNN panoramic image Object Contour Extraction

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Super-Resolution Image Reconstruction for Omni-Vision based ...