Results 51 to 60 of about 338,843 (200)
Galaxy 3D shape recovery using mixture density network
Publications of the Astronomical Society of AustraliaAbstract Since the turn of the century, astronomers have been exploiting the rich information afforded by combining stellar kinematic maps and imaging in an attempt to recover the intrinsic, three-dimensional (3D) shape of a galaxy. A common intrinsic shape recovery method relies on an expected monotonic relationship between the intrinsic ...
Suk Yee Yong +5 more
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Resolving Scale Ambiguity Via XSlit Aspect Ratio Analysis
, 2015 In perspective cameras, images of a frontal-parallel 3D object preserve its aspect ratio invariant to its depth. Such an invariance is useful in photography but is unique to perspective projection.
Kang, Sing Bing +3 more
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Fault-tolerant formation driving mechanism designed for heterogeneous MAVs-UGVs groups [PDF]
, 2013 A fault-tolerant method for stabilization and navigation of 3D heterogeneous formations is proposed in this paper. The presented Model Predictive Control (MPC) based approach enables to deploy compact formations of closely cooperating autonomous aerial ...
A Abdessameud +29 more
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Information hiding through variance of the parametric orientation underlying a B-rep face [PDF]
, 2008 Watermarking technologies have been proposed for many different,types of digital media. However, to this date, no viable watermarking techniques have yet emerged for the high value B-rep (i.e.
Corney, Jonathan +2 more
core +1 more source
Triple-shape memory effect in 3D-printed polymers
eXPRESS Polymer Letters, 2020 A triple-shape memory effect represents that polymers can memorize two temporary shapes and show a subsequent recovery from the second temporary shape to the first temporary shape and further to the permanent shape with heating, which provides more ...
L. Dai, J. Song, S. Qu, R. Xiao
doaj +1 more source
3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture
Proceedings of the British Machine Vision Conference 2020, 2020 In this paper, we introduce 3D-GMNet, a deep neural network for 3D object shape reconstruction from a single image. As the name suggests, 3D-GMNet recovers 3D shape as a Gaussian mixture. In contrast to voxels, point clouds, or meshes, a Gaussian mixture representation provides an analytical expression with a small memory footprint while accurately ...
Yamashita, Kohei +2 more
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, 2015 NiTi porous materials with unprecedented superelasticity and shape memory were manufactured by self-entangling, compacting and heat treating NiTi wires.
Bouvard, D. +5 more
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Video2mesh: 3D human pose and shape recovery by a temporal convolutional transformer network
IET Computer Vision, 2023 From a 2D video of a person in action, human mesh recovery aims to infer the 3D human pose and shape frame by frame. Despite progress on video‐based human pose and shape estimation, it is still challenging to guarantee high accuracy and smoothness ...
Xianjin Chao, Zhipeng Ge, Howard Leung
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Icing Detection Using Image-based 3D Shape Recovery
Computer-Aided Design and Applications, 2010 AbstractPower transmission lines are at risk of the damage when they are exposed to severe ice loads. The accurate detection of ice can reduce the risk to allow ice melting resources to be applied efficiently. Existing methods of the ice detection mainly use the indirect measurement. The ice shape cannot be detected.
Chunsheng Yu, Qingjin Peng
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Tactile Mapping and Localization from High-Resolution Tactile Imprints
, 2019 This work studies the problem of shape reconstruction and object localization using a vision-based tactile sensor, GelSlim. The main contributions are the recovery of local shapes from contact, an approach to reconstruct the tactile shape of objects from
Bauza, Maria +2 more
core +1 more source