scholarly journals Extended point values of distributions

2020 ◽  
pp. 22-31
Keyword(s):  
Extended Point

Point Cloud Registration Algorithm Based on Extended Point Feature Histogram Feature

2019 ◽  
Vol 56 (24) ◽  
pp. 241503
Author(s):  
汤慧 Tang Hui ◽  
周明全 Zhou Mingquan ◽  
耿国华 Geng Guohua
Keyword(s):  
Point Cloud ◽  
Point Cloud Registration ◽  
Registration Algorithm ◽  
Histogram Feature ◽  
Extended Point ◽  
Point Feature

Optical disk readout analysis using an extended point-spread function

1999 ◽  
Author(s):  
Yoshiyuki Matsumoto ◽  
Kimihiro Saito ◽  
Kiyoshi Toyota ◽  
Satoshi Hineno ◽  
Noriaki Nishi
Keyword(s):  
Point Spread Function ◽  
Optical Disk ◽  
Point Spread ◽  
Spread Function ◽  
Extended Point

scholarly journals 6DoF Pose Estimation of Transparent Object from a Single RGB-D Image

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6790
Author(s):  
Chi Xu ◽  
Jiale Chen ◽  
Mengyang Yao ◽  
Jun Zhou ◽  
Lijun Zhang ◽  
...  
Keyword(s):  
Pose Estimation ◽  
Point Cloud ◽  
State Of The Art ◽  
Transparent Material ◽  
Automatic Driving ◽  
Second Stage ◽  
Transparent Objects ◽  
Object Pose Estimation ◽  
Transparent Object ◽  
Extended Point

6DoF object pose estimation is a foundation for many important applications, such as robotic grasping, automatic driving, and so on. However, it is very challenging to estimate 6DoF pose of transparent object which is commonly seen in our daily life, because the optical characteristics of transparent material lead to significant depth error which results in false estimation. To solve this problem, a two-stage approach is proposed to estimate 6DoF pose of transparent object from a single RGB-D image. In the first stage, the influence of the depth error is eliminated by transparent segmentation, surface normal recovering, and RANSAC plane estimation. In the second stage, an extended point-cloud representation is presented to accurately and efficiently estimate object pose. As far as we know, it is the first deep learning based approach which focuses on 6DoF pose estimation of transparent objects from a single RGB-D image. Experimental results show that the proposed approach can effectively estimate 6DoF pose of transparent object, and it out-performs the state-of-the-art baselines by a large margin.

Pairwise-interaction extended point-particle model for particle-laden flows

2017 ◽  
Vol 351 ◽  
pp. 329-357 ◽  
Author(s):  
G. Akiki ◽  
W.C. Moore ◽  
S. Balachandar
Keyword(s):  
Point Particle ◽  
Pairwise Interaction ◽  
Particle Model ◽  
Particle Laden Flows ◽  
Extended Point

New extended point defect structure in diamond cubic crystals

1994 ◽  
Vol 72 (10) ◽  
pp. 1494-1497 ◽  
Author(s):  
Mark Mostoller ◽  
M. F. Chisholm ◽  
Theodore Kaplan
Keyword(s):  
Point Defect ◽  
Defect Structure ◽  
Cubic Crystals ◽  
Point Defect Structure ◽  
Extended Point

Riemannian metric in Gibbsian phase-space

1970 ◽  
Vol 319 (1538) ◽  
pp. 307-317 ◽  
Keyword(s):  
Phase Space ◽  
Line Element ◽  
Riemannian Metric ◽  
Point Transformations ◽  
Classical Trajectories ◽  
Classical Phase Space ◽  
Extended Point

In the classical phase-space of Gibbs, a Riemannian line-element is defined, invariant under extended point transformations and preserving the Gbbsian volume. To make the line-element dimensionally homogeneous, Planck ’s constant h is incorporated in it. For a system consisting of particles, geodesics are investigated; they coincide with classical trajectories in the limit when h tends to zero, and have some interesting simple properties when h is finite.

Analysis of velocity-matched Ti:LiNbO3 optical intensity modulators with an extended point-matching method

1996 ◽  
Vol 28 (2) ◽  
Author(s):  
NingHua Zhu ◽  
Wei Qiu ◽  
EdwinYueBun Pun ◽  
PoSheun Chung
Keyword(s):  
Optical Intensity ◽  
Matching Method ◽  
Point Matching ◽  
Extended Point
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