1,306 research outputs found
On Multi-Relational Link Prediction with Bilinear Models
We study bilinear embedding models for the task of multi-relational link
prediction and knowledge graph completion. Bilinear models belong to the most
basic models for this task, they are comparably efficient to train and use, and
they can provide good prediction performance. The main goal of this paper is to
explore the expressiveness of and the connections between various bilinear
models proposed in the literature. In particular, a substantial number of
models can be represented as bilinear models with certain additional
constraints enforced on the embeddings. We explore whether or not these
constraints lead to universal models, which can in principle represent every
set of relations, and whether or not there are subsumption relationships
between various models. We report results of an independent experimental study
that evaluates recent bilinear models in a common experimental setup. Finally,
we provide evidence that relation-level ensembles of multiple bilinear models
can achieve state-of-the art prediction performance
Dynamic 3D shape measurement based on the phase-shifting moir\'e algorithm
In order to increase the efficiency of phase retrieval,Wang proposed a
high-speed moire phase retrieval method.But it is used only to measure the tiny
object. In view of the limitation of Wang method,we proposed a dynamic
three-dimensional (3D) measurement based on the phase-shifting moire
algorithm.First, four sinusoidal fringe patterns with a pi/2 phase-shift are
projected on the reference plane and acquired four deformed fringe patterns of
the reference plane in advance. Then only single-shot deformed fringe pattern
of the tested object is captured in measurement process.Four moire fringe
patterns can be obtained by numerical multiplication between the the AC
component of the object pattern and the AC components of the reference patterns
respectively. The four low-frequency components corresponding to the moire
fringe patterns are calculated by the complex encoding FT (Fourier transform)
,spectrum filtering and inverse FT.Thus the wrapped phase of the object can be
determined in the tangent form from the four phase-shifting moire fringe
patterns using the four-step phase shifting algorithm.The continuous phase
distribution can be obtained by the conventional unwrapping algorithm. Finally,
experiments were conducted to prove the validity and feasibility of the
proposed method. The results are analyzed and compared with those of Wang
method, demonstrating that our method not only can expand the measurement
scope, but also can improve accuracy.Comment: 14 pages,5 figures. ams.or
Improved method for phase wraps reduction in profilometry
In order to completely eliminate, or greatly reduce the number of phase wraps
in 2D wrapped phase map, Gdeisat et al. proposed an algorithm, which uses
shifting the spectrum towards the origin. But the spectrum can be shifted only
by an integer number, meaning that the phase wraps reduction is often not
optimal. In addition, Gdeisat's method will take much time to make the Fourier
transform, inverse Fourier transform, select and shift the spectral components.
In view of the above problems, we proposed an improved method for phase wraps
elimination or reduction. First, the wrapped phase map is padded with zeros,
the carrier frequency of the projected fringe is determined by high resolution,
which can be used as the moving distance of the spectrum. And then realize
frequency shift in spatial domain. So it not only can enable the spectrum to be
shifted by a rational number when the carrier frequency is not an integer
number, but also reduce the execution time. Finally, the experimental results
demonstrated that the proposed method is feasible.Comment: 16 pages, 15 figures, 1 table. arXiv admin note: text overlap with
arXiv:1604.0723
One shot profilometry using iterative two-step temporal phase-unwrapping
This paper reviews two techniques that have been recently published for 3D
profilometry and proposes one shot profilometry using iterative two-step
temporal phase-unwrapping by combining the composite fringe projection and the
iterative two-step temporal phase unwrapping algorithm. In temporal phase
unwrapping, many images with different frequency fringe pattern are needed to
project which would take much time. In order to solve this problem, Ochoa
proposed a phase unwrapping algorithm based on phase partitions using a
composite fringe, which only needs projecting one composite fringe pattern with
four kinds of frequency information to complete the process of 3D profilometry.
However, we found that the fringe order determined through the construction of
phase partitions tended to be imprecise. Recently, we proposed an iterative
two-step temporal phase unwrapping algorithm, which can achieve high
sensitivity and high precision shape measurement. But it needs multiple frames
of fringe images which would take much time. In order to take into account both
the speed and accuracy of 3D shape measurement, we get a new, and more accurate
unwrapping method based on composite fringe pattern by combining these two
techniques. This method not only retains the speed advantage of Ochoa's
algorithm, but also greatly improves its measurement accuracy. Finally, the
experimental evaluation is conducted to prove the validity of the proposed
method, and the experimental results show that this method is feasible.Comment: 14 pages, 15 figure
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