Results 31 to 40 of about 13,916,515 (311)
Giant Panda Video Image Sequence and Application in 3D Reconstruction
Frontiers in Physics, 2022 Giant panda 3D reconstruction technology plays an important role in the research of giant panda protection. Through the analysis of giant panda video image sequence (GPVS), we prove that it has the long-range–dependent characteristics.
Shaoxiang Hu +3 more
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Practical Tips for 3D Regional Gravity Inversion
Geosciences, 2019 To solve the inverse gravimetric problem, i.e., to estimate the mass density distribution that generates a certain gravitational field, at local or regional scale, several parameters have to be defined such as the dimension of the 3D region to be ...
Daniele Sampietro, Martina Capponi
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NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 Research on depth-based human activity analysis achieved outstanding performance and demonstrated the effectiveness of 3D representation for action recognition.
Jun Liu +5 more
semanticscholar +1 more source
Objects are Different: Flexible Monocular 3D Object Detection [PDF]
Computer Vision and Pattern Recognition, 2021 The precise localization of 3D objects from a single image without depth information is a highly challenging problem. Most existing methods adopt the same approach for all objects regardless of their diverse distributions, leading to limited performance ...
Yunpeng Zhang, Jiwen Lu, Jie Zhou
semanticscholar +1 more source
3D Tdoa Problem Solution with Four Receiving Nodes
Sensors, 2019 Time difference of arrival (TDOA) positioning methods have experienced growing importance over the last few years due to their multiple applications in local positioning systems (LPSs).
Javier Díez-González +5 more
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3D driver pose estimation based on joint 2D–3D network
IET Computer Vision, 2020 Three‐dimensional (3D) driver pose estimation is a promising and challenging problem for computer–human interaction. Recently convolutional neural networks have been introduced into 3D pose estimation, but these methods have the problem of slow running ...
Zhijie Yao +5 more
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3D hypothesis clustering for cross-view matching in multi-person motion capture
Computational Visual Media, 2020 We present a multiview method for markerless motion capture of multiple people. The main challenge in this problem is to determine cross-view correspondences for the 2D joints in the presence of noise.
Miaopeng Li, Zimeng Zhou, Xinguo Liu
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Three-Dimensional Reconstruction from a Single RGB Image Using Deep Learning: A Review
Journal of Imaging, 2022 Performing 3D reconstruction from a single 2D input is a challenging problem that is trending in literature. Until recently, it was an ill-posed optimization problem, but with the advent of learning-based methods, the performance of 3D reconstruction has
Muhammad Saif Ullah Khan +4 more
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A Point Set Generation Network for 3D Object Reconstruction from a Single Image [PDF]
Computer Vision and Pattern Recognition, 2016 Generation of 3D data by deep neural network has been attracting increasing attention in the research community. The majority of extant works resort to regular representations such as volumetric grids or collection of images, however, these ...
Haoqiang Fan, Hao Su, L. Guibas
semanticscholar +1 more source
MACHINE LEARNING FOR APPROXIMATING UNKNOWN FACE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The problem of facial appearance reconstruction (or facial approximation) basing on a skull is very important as for anthropology and archaeology as for forensics.
V. A. Knyaz +5 more
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