Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00106
Yongcheng Wei, Rushi Lan, T. Gu, Huadeng Wang, Xiaonan Luo
Surface reconstruction of 3D objects from 2D cross-sections has wide applications in surface modeling and biomedical image analysis. This paper considers the problem through a new recurrence images method based on the recurrence curves. According to the properties of basis functions of recurrence curves, some important properties of recurrence images are proposed. Giving the feature matrix that represents curves on planar cross-sections and the variation of parameters in the new algorithm, the desired contours will be obtained and then the 3D surface can be constructed. 3D surface of the blood vessel is reconstructed to demonstrate the effectiveness of the proposed method.
{"title":"Surface Reconstruction of Blood Vessel from 2D Cross-Sections with Recurrence Images","authors":"Yongcheng Wei, Rushi Lan, T. Gu, Huadeng Wang, Xiaonan Luo","doi":"10.1109/ICVRV.2017.00106","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00106","url":null,"abstract":"Surface reconstruction of 3D objects from 2D cross-sections has wide applications in surface modeling and biomedical image analysis. This paper considers the problem through a new recurrence images method based on the recurrence curves. According to the properties of basis functions of recurrence curves, some important properties of recurrence images are proposed. Giving the feature matrix that represents curves on planar cross-sections and the variation of parameters in the new algorithm, the desired contours will be obtained and then the 3D surface can be constructed. 3D surface of the blood vessel is reconstructed to demonstrate the effectiveness of the proposed method.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121967400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00071
GU Zhen-jiang, K. Yong, Su Xi-Sheng, He De-fu, Yang Bai-xue, Ding Wei
Wargaming in the modern sense is a kind of simulation countermine system base on modern information technology, it has been widely used around the world in military training and decision-making analysis. This paper started from the development history and research status of wargaming, then expounded the application of wargaming in military decision-making, material consumption forecasts and logistics training, in the last part of the paper, the authors put forward the research ideas of military logistical wargaming system under current conditions.
{"title":"The Application of Wargaming in the Field of Military Logistics","authors":"GU Zhen-jiang, K. Yong, Su Xi-Sheng, He De-fu, Yang Bai-xue, Ding Wei","doi":"10.1109/ICVRV.2017.00071","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00071","url":null,"abstract":"Wargaming in the modern sense is a kind of simulation countermine system base on modern information technology, it has been widely used around the world in military training and decision-making analysis. This paper started from the development history and research status of wargaming, then expounded the application of wargaming in military decision-making, material consumption forecasts and logistics training, in the last part of the paper, the authors put forward the research ideas of military logistical wargaming system under current conditions.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124854247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00119
Min Li, Hong Xie
In recent years, precision guided weapons have been widely used for its irreplaceable advantages, and infrared guidance is one of the most important components. In this paper, the characteristics of the medium and long wave infrared images are analyzed. Considering the composition of the infrared radiation, starting from speeding up the algorithm, an infrared image generation method is proposed to get infrared images in different bands. In this method, the theoretical temperature is used to improve the algorithm running speed instead of the actual temperature. The comparison experiment shows that the method proposed in this paper can improve the reality of the simulation, and explore a new method of band expansion for infrared images, which is an effective method.
{"title":"An Infrared Image Band Expansion Method Based on Measured Data","authors":"Min Li, Hong Xie","doi":"10.1109/ICVRV.2017.00119","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00119","url":null,"abstract":"In recent years, precision guided weapons have been widely used for its irreplaceable advantages, and infrared guidance is one of the most important components. In this paper, the characteristics of the medium and long wave infrared images are analyzed. Considering the composition of the infrared radiation, starting from speeding up the algorithm, an infrared image generation method is proposed to get infrared images in different bands. In this method, the theoretical temperature is used to improve the algorithm running speed instead of the actual temperature. The comparison experiment shows that the method proposed in this paper can improve the reality of the simulation, and explore a new method of band expansion for infrared images, which is an effective method.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130128406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00095
Xu Liu, Yongcheng Huang, Li Song, Rong Xie, Xiaokang Yang
This paper presents a set of 12 new 8K resolution ultra-high definition (UHD) 360-degree immersive video sequences. This video sequences can satisfy the enhancing requirements of the researches on UHD 360-degree immersive video, such as next-generation video encoding research. In this paper, the processing and characteristics of the video sequences are illustrated.
{"title":"The SJTU UHD 360-Degree Immersive Video Sequence Dataset","authors":"Xu Liu, Yongcheng Huang, Li Song, Rong Xie, Xiaokang Yang","doi":"10.1109/ICVRV.2017.00095","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00095","url":null,"abstract":"This paper presents a set of 12 new 8K resolution ultra-high definition (UHD) 360-degree immersive video sequences. This video sequences can satisfy the enhancing requirements of the researches on UHD 360-degree immersive video, such as next-generation video encoding research. In this paper, the processing and characteristics of the video sequences are illustrated.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121738428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00094
Zilong Zhang, Xun Luo, Salazar Vaca María Gabriela, Espinoza Castro Danny Alberto, Yi Chen
As a result of the continuous evolution of virtual reality, using game engine for VR systems development is becoming popular. Rendering the geometrical components in a VR scene such as complex terrain, dense vegetation, building details etc. is a substantial computation task. Typical scene optimization methods include memory allocation, multi-threading, and Levels of Details (LOD). In this paper we experiment to address the challenge of vegetation rendering using a combination of optimization approaches. Experiments in the Unreal game engine show our approaches’ efficacy. Through parallel rendering, the rendering time is reduced by 50%. With LOD, the rendering speed of the scene has been improved by as much as 25%. The LOD transformation is processed frame-by-frame and is essentially seamless as it carries out an efficient rendering pass. Finally, by using the culling algorithm, and setting the attenuation distance and setting the attenuation range, the rendering efficiency is further optimized.
{"title":"Vegetation Rendering Optimization for Virtual Reality Systems","authors":"Zilong Zhang, Xun Luo, Salazar Vaca María Gabriela, Espinoza Castro Danny Alberto, Yi Chen","doi":"10.1109/ICVRV.2017.00094","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00094","url":null,"abstract":"As a result of the continuous evolution of virtual reality, using game engine for VR systems development is becoming popular. Rendering the geometrical components in a VR scene such as complex terrain, dense vegetation, building details etc. is a substantial computation task. Typical scene optimization methods include memory allocation, multi-threading, and Levels of Details (LOD). In this paper we experiment to address the challenge of vegetation rendering using a combination of optimization approaches. Experiments in the Unreal game engine show our approaches’ efficacy. Through parallel rendering, the rendering time is reduced by 50%. With LOD, the rendering speed of the scene has been improved by as much as 25%. The LOD transformation is processed frame-by-frame and is essentially seamless as it carries out an efficient rendering pass. Finally, by using the culling algorithm, and setting the attenuation distance and setting the attenuation range, the rendering efficiency is further optimized.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125107331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we propose a low complexity Hybrid View Synthesis Optimization (HVSO) scheme for 3D extension of high efficiency video coding (3D-HEVC). In particular, based on the analyses regarding the impact of depth map compression on the quality of synthesized view rendering, we locally classify the coding tree units (CTUs) of depth map into two categories, including synthesized view distortion change (SVDC) based and view synthesis distortion estimation (VSDE) based CTUs. This allows us to dynamically distinguish the rate-distortion optimization process of these CTUs and obtain the synthesized view distortion of the VSDE based ones in a high efficiency way. More specifically, a new interpolation-based distortion estimation algorithm dedicated for VSDE based CTUs is proposed such that the actual view rendering process can be successfully avoided. In this manner, a good trade-off between the rate-distortion performance and computational complexity in depth map compression is achieved. Experimental results show that with our proposed HVSO method, 75% of the computational complexity on average can be saved for the view synthesis optimization process with only 1.6% BD-rate loss compared with the state-of-the-art scheme in the 3D-HEVC platform.
{"title":"Low Complexity Hybrid View Synthesis Optimization for 3D-HEVC","authors":"Songchao Tan, Siwei Ma, Shiqi Wang, Shanshe Wang, Wen Gao","doi":"10.1109/ICVRV.2017.00045","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00045","url":null,"abstract":"In this paper, we propose a low complexity Hybrid View Synthesis Optimization (HVSO) scheme for 3D extension of high efficiency video coding (3D-HEVC). In particular, based on the analyses regarding the impact of depth map compression on the quality of synthesized view rendering, we locally classify the coding tree units (CTUs) of depth map into two categories, including synthesized view distortion change (SVDC) based and view synthesis distortion estimation (VSDE) based CTUs. This allows us to dynamically distinguish the rate-distortion optimization process of these CTUs and obtain the synthesized view distortion of the VSDE based ones in a high efficiency way. More specifically, a new interpolation-based distortion estimation algorithm dedicated for VSDE based CTUs is proposed such that the actual view rendering process can be successfully avoided. In this manner, a good trade-off between the rate-distortion performance and computational complexity in depth map compression is achieved. Experimental results show that with our proposed HVSO method, 75% of the computational complexity on average can be saved for the view synthesis optimization process with only 1.6% BD-rate loss compared with the state-of-the-art scheme in the 3D-HEVC platform.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131377350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00044
Yao-feng Xue, Shang Gao, Huali Sun, Wei Qin
As an application of Gesture Recognition, Sign Language Recognition (SLR) is able to facilitate those who want to learn a manual communication system and makes it practicable for the majority of normal people, who are ignorant of sign language, to communicate with the group suffering from dysaudia and vice versa. In this paper, focusing on feasibility, we present a Chinese Sign Language (CSL) recognition system using the portable and cost-affordable Leap Motion sensor and applying kth-Nearest Neighbor (k-NN). Simultaneously, by introducing text to speech, speech synthesis and speech recognition (speech to text) APIs, we bring out a novel design of two-way communication system between normal people and hearing-impaired communities. The experiment result shows that such a CSL recognition system, which currently achieved static sign language interpretation with high accuracy, is able to play a much more significant role in this field.
手语识别(Sign Language Recognition, SLR)是手势识别技术的一种应用，它可以帮助那些想要学习手语交流系统的人，也可以让大多数不懂手语的正常人与听障人群进行交流，反之亦然。本文从可行性的角度出发，提出了一种基于k-最近邻(k-NN)的便携式Leap Motion传感器的中文手语识别系统。同时，通过引入文本到语音(text to speech)、语音合成(speech to text)和语音识别(speech to text) api，提出了一种正常人与听障群体双向交流系统的新设计。实验结果表明，目前实现了高精度静态手语翻译的CSL识别系统能够在该领域发挥更大的作用。
{"title":"A Chinese Sign Language Recognition System Using Leap Motion","authors":"Yao-feng Xue, Shang Gao, Huali Sun, Wei Qin","doi":"10.1109/ICVRV.2017.00044","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00044","url":null,"abstract":"As an application of Gesture Recognition, Sign Language Recognition (SLR) is able to facilitate those who want to learn a manual communication system and makes it practicable for the majority of normal people, who are ignorant of sign language, to communicate with the group suffering from dysaudia and vice versa. In this paper, focusing on feasibility, we present a Chinese Sign Language (CSL) recognition system using the portable and cost-affordable Leap Motion sensor and applying kth-Nearest Neighbor (k-NN). Simultaneously, by introducing text to speech, speech synthesis and speech recognition (speech to text) APIs, we bring out a novel design of two-way communication system between normal people and hearing-impaired communities. The experiment result shows that such a CSL recognition system, which currently achieved static sign language interpretation with high accuracy, is able to play a much more significant role in this field.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"51 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127997300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/icvrv.2017.00057
Zhang Zhenning, Chen Na, Lin Weiqing
In the MEMS-based hand motion capture system, virtual hand skeleton proportion is usually calculated by using the statistical length of human hand anatomy. The effect of the difference in the proportion of the individual hand of the users, resulting in the error of the delicate activities of the hand. In this paper, a hand skeleton estimation algorithm using two specific gestures is proposed by analyzing the skeleton structure and motion characteristics of the hand and calibrating the two specific gestures respectively. In the meantime, the attitudes and positions of the virtual hand skeleton is calculated based on kinematics, and the virtual hand movement is reconstructed with high accuracy. The hand tracking and interaction works fine in a simulation system.
{"title":"Hand Skeleton Estimation Based on Two Specific Gestures","authors":"Zhang Zhenning, Chen Na, Lin Weiqing","doi":"10.1109/icvrv.2017.00057","DOIUrl":"https://doi.org/10.1109/icvrv.2017.00057","url":null,"abstract":"In the MEMS-based hand motion capture system, virtual hand skeleton proportion is usually calculated by using the statistical length of human hand anatomy. The effect of the difference in the proportion of the individual hand of the users, resulting in the error of the delicate activities of the hand. In this paper, a hand skeleton estimation algorithm using two specific gestures is proposed by analyzing the skeleton structure and motion characteristics of the hand and calibrating the two specific gestures respectively. In the meantime, the attitudes and positions of the virtual hand skeleton is calculated based on kinematics, and the virtual hand movement is reconstructed with high accuracy. The hand tracking and interaction works fine in a simulation system.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115680166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00052
Yi Zhang, Yanning Zhang, Jinqiu Sun, Haisen Li, Yu Zhu
Measuring the image pair similarity is a fundamental task in computer vision. This paper illustrates a neural network model to accomplish the task and decide if the input pair is a near duplicate pair. Authors explore several convolutional neural networks and adopt the double-channel network on this task. The model achieves comparable results on benchmark datasets and well performs on the closely similar images pairs among them. Comparing with the conventional approaches, the network provides a straightforward function to measure the pair-wise similarity and utilizes the strong correlation meanwhile.
{"title":"Near Duplicate Image Pairs Detection Using Double-Channel Convolutional Neural Networks","authors":"Yi Zhang, Yanning Zhang, Jinqiu Sun, Haisen Li, Yu Zhu","doi":"10.1109/ICVRV.2017.00052","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00052","url":null,"abstract":"Measuring the image pair similarity is a fundamental task in computer vision. This paper illustrates a neural network model to accomplish the task and decide if the input pair is a near duplicate pair. Authors explore several convolutional neural networks and adopt the double-channel network on this task. The model achieves comparable results on benchmark datasets and well performs on the closely similar images pairs among them. Comparing with the conventional approaches, the network provides a straightforward function to measure the pair-wise similarity and utilizes the strong correlation meanwhile.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122726418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICVRV.2017.00056
Bowen Tang, Xukun Shen, Yong Hu, Qing Fan
We present a robust method for detecting and tracking the human hand in real-time with a single depth camera. Before tracking the hand, we always need to find the appropriate region of hand in depth map obtained by the camera. Our system utilizes the segmentation depth information to look for the candidate hand regions, and gets a more accurate hand region with auxiliary RGB information. Even when it is not the nearest part than other body regions, we can also detect the hand region accurately. Therefore we make fewer assumptions about hand detection. Based on this, we track the human hand by fitting a virtual 3D hand model to preprocessed depth maps. We treat this as an optimization problem which needs to seek the parameters to make sure that the energy function can get minimum values. Our energy function combines 3D/2D information with shape prior and kinematic priors, and keeps the frame smooth by adding temporal smoothness constraint. The objective function is solved effectively using Gauss-Newton method. The relevant experiments demonstrate the accurate hand detection and robust hand tracking in our system.
{"title":"A Robust Real-Time Hand Detection and Tracking","authors":"Bowen Tang, Xukun Shen, Yong Hu, Qing Fan","doi":"10.1109/ICVRV.2017.00056","DOIUrl":"https://doi.org/10.1109/ICVRV.2017.00056","url":null,"abstract":"We present a robust method for detecting and tracking the human hand in real-time with a single depth camera. Before tracking the hand, we always need to find the appropriate region of hand in depth map obtained by the camera. Our system utilizes the segmentation depth information to look for the candidate hand regions, and gets a more accurate hand region with auxiliary RGB information. Even when it is not the nearest part than other body regions, we can also detect the hand region accurately. Therefore we make fewer assumptions about hand detection. Based on this, we track the human hand by fitting a virtual 3D hand model to preprocessed depth maps. We treat this as an optimization problem which needs to seek the parameters to make sure that the energy function can get minimum values. Our energy function combines 3D/2D information with shape prior and kinematic priors, and keeps the frame smooth by adding temporal smoothness constraint. The objective function is solved effectively using Gauss-Newton method. The relevant experiments demonstrate the accurate hand detection and robust hand tracking in our system.","PeriodicalId":187934,"journal":{"name":"2017 International Conference on Virtual Reality and Visualization (ICVRV)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129501041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：