Proceedings of the 5th International Conference on Multimedia and Image Processing最新文献_第3页

Single image super-resolution using deep hierarchical attention network 利用深度分层注意网络实现单幅图像超分辨率

Proceedings of the 5th International Conference on Multimedia and Image Processing Pub Date : 2020-01-10 DOI: 10.1145/3381271.3381282

Fei Zhao, Rui Chen, Yuan Li

引用次数: 0

Segmentation-based orbiting satellite tracking 基于分段的轨道卫星跟踪

Proceedings of the 5th International Conference on Multimedia and Image Processing Pub Date : 2020-01-10 DOI: 10.1145/3381271.3381291

Yunda Sun, Peizhuo Li, Xue Wan

{"title":"Segmentation-based orbiting satellite tracking","authors":"Yunda Sun, Peizhuo Li, Xue Wan","doi":"10.1145/3381271.3381291","DOIUrl":"https://doi.org/10.1145/3381271.3381291","url":null,"abstract":"To obtained the trajectory of an orbiting satellite is a fundamental and vital step for space rendezvous and manipulation by space robots. Due to the freely and rapidly motion of on-orbiting satellites, the sudden change in appearance, orbiting satellite tracking is difficult for traditional tracker, which usually relies on a single bounding box of the target object. However, more information should be provided by visual tracking such as binary mask. In this paper, we proposed a SOST (Segmentation-based Orbiting Satellite Tracking) algorithm that improves the performance of tracking. Our method, SOST, improves the tracking performance by generating a mask map obtained from segmentation within the initial bounding box. The final bounding box will be refined using the segmentation result. Experiment using real on-orbit rendezvous and docking video from NASA (Nation Aeronautics and Space Administration), simulated satellite animation sequence from ESA (European Space Agency) and image sequences of 3D printed satellite model took in our laboratory demonstrate the robustness, versatility and fast speed of our method compared to state-of-the-art tracking methods. Our dataset will be released for academic use in future.","PeriodicalId":124651,"journal":{"name":"Proceedings of the 5th International Conference on Multimedia and Image Processing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122269940","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}

引用次数: 0

Robust stereo matching using improved ZNCC combined SAD-LBP 基于改进ZNCC结合SAD-LBP的鲁棒立体匹配

Proceedings of the 5th International Conference on Multimedia and Image Processing Pub Date : 2020-01-10 DOI: 10.1145/3381271.3381295

Jie-Wei Chen, Youshen Xia

引用次数: 1

Preference of 2D animation style in malaysian colonial shophouses multimedia courseware 马来西亚殖民地店屋多媒体课件中2D动画风格的偏好

Proceedings of the 5th International Conference on Multimedia and Image Processing Pub Date : 2020-01-10 DOI: 10.1145/3381271.3381304

K. T. Chau, N. Nasir, Tan Voon Yee Valerie

引用次数: 2

Research of express box defect detection based on machine vision 基于机器视觉的快递盒缺陷检测研究

Proceedings of the 5th International Conference on Multimedia and Image Processing Pub Date : 2020-01-10 DOI: 10.1145/3381271.3381280

Liang Wei, Ningyu Zhang, Muyao Xue, Ju Huo

引用次数: 2

Analysis of user behavior in a large-scale internet video-on-demand(VoD) system 大型网络视频点播系统中的用户行为分析

Proceedings of the 5th International Conference on Multimedia and Image Processing Pub Date : 2020-01-10 DOI: 10.1145/3381271.3381288

Yaohui Yuan, Xingjun Wang, GuangXiang Bin

引用次数: 3

Real-time head pose estimation based on face geometry 基于人脸几何的实时头部姿态估计

Proceedings of the 5th International Conference on Multimedia and Image Processing Pub Date : 2020-01-10 DOI: 10.1145/3381271.3381296

Aditya Hosamani, M. Phirke

{"title":"Real-time head pose estimation based on face geometry","authors":"Aditya Hosamani, M. Phirke","doi":"10.1145/3381271.3381296","DOIUrl":"https://doi.org/10.1145/3381271.3381296","url":null,"abstract":"This paper presents a novel head pose estimation technique based on face-geometry. The approach involves performing nose detection and threshold-based segmentation over near-infrared (NIR) input. NIR's inherent invariance to illumination changes makes it an ideal fit within automotive, avionics, mining, and many more such applications where the inconsistent lighting leaves visible light RGB cameras impractical. The pose angles are inferred from the shape of the segmented face and its nose location. Validation of the proposed approach is performed in a two-fold manner since annotated public NIR-based head-pose datasets are scarce. Firstly, the pure yaw and pitch angles are justified using the UPNA RGB head pose dataset. Secondly, an in-house captured and annotated NIR dataset is used for corroborating the pure roll angle. Comparison of the proposed approach with the two more commonly used head pose estimation algorithms viz., DLIB and OpenVINO over the NIR dataset reveal that the proposed approach outperforms the latter two with better accuracy, maximum range coverage, and lesser computation time, thereby, making it a suitable choice in applications such as driver monitoring and surveillance systems, especially during the night/low-light scenarios.","PeriodicalId":124651,"journal":{"name":"Proceedings of the 5th International Conference on Multimedia and Image Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117070414","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}

引用次数: 1

Phase retrieval with outliers via median truncated amplitude flow 中值截断振幅流的离群值相位恢复

Proceedings of the 5th International Conference on Multimedia and Image Processing Pub Date : 2020-01-10 DOI: 10.1145/3381271.3381287

Quanbing Zhang, Feihang Hu, Dequn Liu, Yufan Yuan

引用次数: 0

Use of virtual reality games in people with depression and anxiety 抑郁症和焦虑症患者使用虚拟现实游戏

Proceedings of the 5th International Conference on Multimedia and Image Processing Pub Date : 2020-01-10 DOI: 10.1145/3381271.3381299

Alice J. Lin, Fuhua Cheng, Charles B. Chen

引用次数: 14

Novel pose measurement with optimized principal component analysis for unknown spacecraft based on point cloud 基于点云优化主成分分析的未知航天器姿态测量新方法

Proceedings of the 5th International Conference on Multimedia and Image Processing Pub Date : 2020-01-10 DOI: 10.1145/3381271.3381281

Guiyang Zhang, Ju Huo, Zhanyu Zhang, Mingxuan He, Jinjie Zhang, Muyao Xue

{"title":"Novel pose measurement with optimized principal component analysis for unknown spacecraft based on point cloud","authors":"Guiyang Zhang, Ju Huo, Zhanyu Zhang, Mingxuan He, Jinjie Zhang, Muyao Xue","doi":"10.1145/3381271.3381281","DOIUrl":"https://doi.org/10.1145/3381271.3381281","url":null,"abstract":"This paper investigates the issue of vision orientation for unknown spacecraft in orbit-capture, upon which a fast and highly accurate pose measurement method based on improved coordinate system correction by weighted principal component analysis (PCA) is proposed. This algorithm weights point cloud features before dimensionality reduction, and then three principal component vectors in different frames are calculated. Consequently, the effective reduction of the original point cloud and the reduction of information overlap are achieved. The nearest point of the Euclidean distance is employed to corrected the direction of PCA coordinate axis, and thus the initial pose of two sets of point cloud are obtained. Finally, the point cloud in arbitrary pose relationship of unknown space can be aligned accurately by improved iterative closest point (ICP) algorithm with the kd-tree search strategy. The presented method overcomes the disadvantages of high requirement of initial value and avoiding local convergence, which means it achieves a global alignment for unknown target with point cloud of similar shape and integrity. Experiments show that the maximum relative error of attitude is superior to 0.15°, position error is less than ±4mm within the space 2000mmx2000mrnx3000rnm. Results verify that the accuracy and speed performance of the proposed approach can satisfy the requirements of on-orbit spacecraft to capture unknown objects.","PeriodicalId":124651,"journal":{"name":"Proceedings of the 5th International Conference on Multimedia and Image Processing","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121032933","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}

引用次数: 0