12,036 research outputs found
Visual Comfort Assessment for Stereoscopic Image Retargeting
In recent years, visual comfort assessment (VCA) for 3D/stereoscopic content
has aroused extensive attention. However, much less work has been done on the
perceptual evaluation of stereoscopic image retargeting. In this paper, we
first build a Stereoscopic Image Retargeting Database (SIRD), which contains
source images and retargeted images produced by four typical stereoscopic
retargeting methods. Then, the subjective experiment is conducted to assess
four aspects of visual distortion, i.e. visual comfort, image quality, depth
quality and the overall quality. Furthermore, we propose a Visual Comfort
Assessment metric for Stereoscopic Image Retargeting (VCA-SIR). Based on the
characteristics of stereoscopic retargeted images, the proposed model
introduces novel features like disparity range, boundary disparity as well as
disparity intensity distribution into the assessment model. Experimental
results demonstrate that VCA-SIR can achieve high consistency with subjective
perception
A Proximity-Aware Hierarchical Clustering of Faces
In this paper, we propose an unsupervised face clustering algorithm called
"Proximity-Aware Hierarchical Clustering" (PAHC) that exploits the local
structure of deep representations. In the proposed method, a similarity measure
between deep features is computed by evaluating linear SVM margins. SVMs are
trained using nearest neighbors of sample data, and thus do not require any
external training data. Clusters are then formed by thresholding the similarity
scores. We evaluate the clustering performance using three challenging
unconstrained face datasets, including Celebrity in Frontal-Profile (CFP),
IARPA JANUS Benchmark A (IJB-A), and JANUS Challenge Set 3 (JANUS CS3)
datasets. Experimental results demonstrate that the proposed approach can
achieve significant improvements over state-of-the-art methods. Moreover, we
also show that the proposed clustering algorithm can be applied to curate a set
of large-scale and noisy training dataset while maintaining sufficient amount
of images and their variations due to nuisance factors. The face verification
performance on JANUS CS3 improves significantly by finetuning a DCNN model with
the curated MS-Celeb-1M dataset which contains over three million face images
Neutron-skin thickness of finite nuclei in relativistic mean-field models with chiral limits
We study several structure properties of finite nuclei using relativistic
mean-field Lagrangians constructed according to the Brown-Rho scaling due to
the chiral symmetry restoration at high densities. The models are consistent
with current experimental constraints for the equations of state of symmetric
matter at both normal and supra-normal densities and of asymmetric matter at
sub-saturation densities. It is shown that these models can successfully
describe the binding energies and charge radii of finite nuclei. Compared to
calculations with usual relativistic mean-field models, these models give a
reduced thickness of neutron skin in ^{208}Pb between 0.17 fm and 0.21 fm. The
reduction of the predicted neutron skin thickness is found to be due to not
only the softening of the symmetry energy but also the scaling property of
meson required by the partial restoration of chiral symmetry.Comment: Accepted version to appear in PRC (2007
Large-mass neutron stars with hyperonization
Within a density-dependent relativistic mean-field model using in-medium
meson-hadron coupling constants and meson masses, we explore effects of
in-medium hyperon interactions on properties of neutron stars. It is found that
the hyperonic constituents in large-mass neutron stars can not be simply ruled
out, while the recently measured mass of the millisecond pulsar J1614-2230 can
constrain significantly the in-medium hyperon interactions. Moreover, effects
of nuclear symmetry energy on hyperonization in neutron stars are also
discussed
Single and double pi^{-}/pi^{+} ratios in heavy-ion reactions as probes of the high-density behavior of the nuclear symmetry energy
Based on an isospin- and momentum-dependent hadronic transport model IBUU04,
effects of the nuclear symmetry energy on the single and double
pi^{-}/pi^{+}ratios in central reactions of ^{132}Sn+^{124}Sn and
^{112}Sn+^{112}Sn at a beam energy of 400 MeV/nucleon are studied. It is found
that around the Coulomb peak of the single pi^{-}/pi^{+} ratio the double
pi^{-}/pi^{+} ratio taken from the two isotopic reactions retains about the
same sensitivity to the density dependence of nuclear symmetry energy. Because
the double pi^{-}/pi^{+}ratio can reduce significantly the systematic errors,
it is thus a more effective probe for the high-density behavior of the nuclear
symmetry energy.Comment: 11 pages, 3 figures, to appear in Physics Review
Development of Superplastic Structural Ceramics
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/65140/1/j.1151-2916.1990.tb06734.x.pd
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