Filters








257 Hits in 7.4 sec

Viewport: A Distributed, Immersive Teleconferencing System with Infrared Dot Pattern

Cha Zhang, Qin Cai, Philip A. Chou, Zhengyou Zhang, Ricardo Martin-Brualla
2013 IEEE Multimedia  
, Mike Starr, Dave Eberly, Yinpeng Chen, Eric Lang, Neil Fishman, Tom Blank, Patrick Therien, Anoop Gupta, and others.  ...  ACKNOWLEDGMENT The authors would like to thank many people who have helped building the Viewport system, including Nirupama Chandrasekaran, John Anderson, Guillaume Simonnet, Sean Anderson, Ryan Waller  ...  Sparse 3D Poind Cloud Reconstruction Given the camera rig, it is natural to first consider using traditional multiview stereo algorithms to reconstruct the 3D geometry of the user. In fact, Yang et al  ... 
doi:10.1109/mmul.2013.12 fatcat:3pak77vxa5dplo3mycudvudaey

Multiview 3D reconstruction in geosciences

M. Favalli, A. Fornaciai, I. Isola, S. Tarquini, L. Nannipieri
2012 Computers & Geosciences  
23 24 25 Multiview three-dimensional (3D) reconstruction is a technology that allows the creation 26 of 3D models of a given scenario from a series of overlapping pictures taken by using 27 consumer-grade  ...  Introduction 42 43 Multiview 3D reconstruction is the computationally complex process by which a full 44 3D model of a target scene is derived from a series of overlapping pictures of the target 45 itself  ...  Typically, SIFT will detect up to tens 117 of thousands of such features in a resampled image. 118 <H3>2.1.3.  ... 
doi:10.1016/j.cageo.2011.09.012 fatcat:jhivumdlfrbzxclnqe6uzwycfm

Advances in deep learning for real-time image and video reconstruction and processing

Pourya Shamsolmoali, M. Emre Celebi, Ruili Wang
2020 Journal of Real-Time Image Processing  
The process of image reconstruction typically requires solving an inverse problem that is ill-posed and large-scale and thus challenging to solve.  ...  The main challenge of this method is its sensitivity to measurement noise in the input data, which will result in artifacts in the reconstructed image with a higher cost in computational time.  ...  The proposed method extends the point cloud mathematical model to the orthogonal factor model and employs the point cloud data to extend the flexibility of the model.  ... 
doi:10.1007/s11554-020-01026-2 fatcat:23jzdzkoxfdnrjfeew7bpwy7fm

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 2217-2229 A Volumetric Approach to Point Cloud Compression-Part I: Attribute Compression.  ...  ., +, TIP 2020 2258-2270 Image coding 3D Point Cloud Attribute Compression Using Geometry-Guided Sparse Representation.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Research on Multi-View Image Reconstruction Technology Based on Auto-Encoding Learning

Tao Zhang, Shaokui Gu, Jinxing Niu, Yi Cao
2022 Computers Materials & Continua  
The accuracy of feature extraction from multiple images affects the reliability and real-time performance of 3D reconstruction technology.  ...  spatial point cloud, and meshlab software is used to display the results.  ...  The 3D reconstruction can be completed by mapping the estimated depth image to the 3D space to obtain a dense point cloud and performing information fusion.  ... 
doi:10.32604/cmc.2022.027079 fatcat:r6a4q6konjbdrdspfetyquz4ue

Key Issues in Modeling of Complex 3D Structures from Video Sequences

Shengyong Chen, Yuehui Wang, Carlo Cattani
2012 Mathematical Problems in Engineering  
Reconstruction of a scene object from video sequences often takes the basic principle of structure from motion with an uncalibrated camera.  ...  This paper summarizes the key issues of the theory and surveys the recent advances in the state of the art.  ...  Acknowledgments This work was supported by the National Natural Science Foundation of China and Microsoft Research Asia NSFC nos. 61173096, 60870002, and 60802087 , Zhejiang Provincial S&T Department 2010R10006  ... 
doi:10.1155/2012/856523 fatcat:2tcnq4tllvf4rpgurxuli2vci4

Line segment extraction for large scale unorganized point clouds

Yangbin Lin, Cheng Wang, Jun Cheng, Bili Chen, Fukai Jia, Zhonggui Chen, Jonathan Li
2015 ISPRS journal of photogrammetry and remote sensing (Print)  
Line segment detection in images is already a well-investigated topic, although it has received considerably less attention in 3D point clouds.  ...  Line segments that occur where pairs of planes intersect give important information regarding the geometric content of point clouds, which is especially useful for automatic building reconstruction and  ...  Acknowledgments This work was supported by an NSFC Grant (Project No. 61371144) and an NSERC Discovery Grant. The authors would like to thank the anonymous reviewers for their valuable comments.  ... 
doi:10.1016/j.isprsjprs.2014.12.027 fatcat:3p7o3c3pxzcshnxrtpdftykuhi

Character index

2011 2011 IEEE International Conference on Multimedia and Expo  
Douglas Chai ADAPTIVE USE OF THRESHOLDING AND MULTIPLE COLOUR SPACE REPRESENTATION TO IMPROVE CLASSIFICATION OF MMCC BARCODE Jacob Chakareski BIT ALLOCATION FOR MULTIVIEW IMAGE COMPRESSION USING CUBIC  ...  RETRIEVAL ALGORITHMS Kenneth Lam FEATURE SUBSET SELECTION FOR EFFICIENT ADABOOST TRAINING MULTI-SENSOR FIRE DETECTION USING VISUAL AND TIME-OF-FLIGHT IMAGING Kun Chan Lan EVALUATING THE PERCEIVED QUALITY  ... 
doi:10.1109/icme.2011.6011827 fatcat:wjy7yvkmvbbf3hj4wbyjapx5gu

An Image Registration Method Based on Correlation Matching of Dominant Scatters for Distributed Array ISAR

Liqi Zhang, Yanlei Li
2022 Sensors  
The accuracy of image registration, as an essential part of 3D ISAR imaging, affects the performance of 3D reconstruction.  ...  The 3D reconstruction of the registered experimental data is carried out to assess the practicability of the proposed method.  ...  Acknowledgments: The authors thank the anonymous reviewers for their valuable comments, which improved the paper's quality. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22041681 pmid:35214589 pmcid:PMC8878272 fatcat:a7vjemjb3vcvrnjzv6rojxufm4

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TMM 2021 3657-3669 Predicting the Perceptual Quality of Point Cloud: A 3D-to-2D Projection-Based Exploration.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

A High Resolution Multi-exposure Stereoscopic Image Video Database of Natural Scenes [article]

Rohit Choudhary and Mansi Sharma and Aditya Wadaskar
2022 arXiv   pre-print
Immersive displays such as VR headsets, AR glasses, Multiview displays, Free point televisions have emerged as a new class of display technologies in recent years, offering a better visual experience and  ...  Finally, we have discussed the progress, challenges, potential use cases and future research opportunities with respect to HDR imaging, depth estimation, consistent tone mapping and 3D HDR coding.  ...  This work has been supported, in part, by the Department of Science and Technology, Government of India project "Tools and Processes for Multi-view 3D Display Technologies", DST/INSPIRE/04/2017/001853.  ... 
arXiv:2206.11095v1 fatcat:gssmlm72ubdxhlxhnvtmujs4ta

RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding [article]

Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov
2022 arXiv   pre-print
While lidar data can be represented as two interchangeable representations: 3D point clouds and range images, most previous work focus on compressing the generic 3D point clouds.  ...  Evaluated on the Waymo Open Dataset and KITTI, our method demonstrates significant improvement in the compression rate (under the same distortion) compared to widely used point cloud and range image compression  ...  Impact of lidar data compression to 3D object detection quality on the Waymo Open Dataset val set.  ... 
arXiv:2206.01738v1 fatcat:vx4t24sytrbejkx26ageit4xg4

2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43

2022 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TPAMI Dec. 2021 4338-4364 From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network.  ... 
doi:10.1109/tpami.2021.3126216 fatcat:h6bdbf2tdngefjgj76cudpoyia

No-Reference Point Cloud Quality Assessment via Domain Adaptation [article]

Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun
2022 arXiv   pre-print
We present a novel no-reference quality assessment metric, the image transferred point cloud quality assessment (IT-PCQA), for 3D point clouds.  ...  Leveraging the rich subjective scores of the natural images, we can quest the evaluation criteria of human perception via DNN and transfer the capability of prediction to 3D point clouds.  ...  Besides, [21] [40] studied 3D reconstruction and recognition based on single or multiview images. Therefore, using DA to solve the problem of PCQA is feasible.  ... 
arXiv:2112.02851v2 fatcat:dhekexceqvcwpn6xda4acu5hhy

Comparative evaluation of keypoint detectors for 3d digital avatar reconstruction

Dusan Gajic, Gorana Gojic, Dinu Dragan, Veljko Petrovic
2020 Facta universitatis - series Electronics and Energetics  
We argue that the quality of avatar reconstruction can be increased by modifying parts of the photogrammetry-based algorithm pipeline to be more specifically tailored to the human body shape.  ...  We include well established, patented Distinctive image features from scale-invariant keypoints (SIFT) and Speeded up robust features (SURF) detection algorithms as a baseline since they are widely incorporated  ...  As an input, the SFM phase receives a series of overlapping 2D images and outputs a 3D sparse point cloud.  ... 
doi:10.2298/fuee2003379g fatcat:e2hwinacwjdllcm2y6b7arflgy
« Previous Showing results 1 — 15 out of 257 results