118 research outputs found
Links Assignment Scheme based on Potential Edges Importance in Dual-layer Wavelength Routing Optical Satellite Networks
With the development of the massive satellite constellation and the on-orbit
laser-based communication equipment, the wavelength routing optical satellite
network (WROSN) becomes a potential solution for on-orbit, high-capacity, and
high-speed communication. Since the inter-satellite links (ISLs) are
time-varying, one of the fundamental considerations in the construction of the
WROSN is assigning limited laser communication terminals for each satellite to
establish ISLs with the visible satellites. Therefore, we propose a links
assignment scheme (LAS) based on the potential edges importance matrix (PEIM)
algorithm to construct a temporarily stable topology of the ISLs for a
dual-layer constellation. The simulation results showed that the LAS based on
the PEIM algorithm is better than LAS based on the random or Greedy algorithm
in terms of node-to-node distance, node pair connectivity, wavelength demand,
and transmission delay. The node pair connectivity and wavelength demand in
WROSN is a trade-off problem. The research in this paper also brings a novel
method for reduction of the cost of the on-board resources, that is through
designing topology of the ISLs with links assignment algorithm.Comment: This is the manuscript version that was submitted to the
International Journal of Satellite Communications and Networking
(SAT-23-0018
ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling
The research fields of parametric face models and 3D face reconstruction have
been extensively studied. However, a critical question remains unanswered: how
to tailor the face model for specific reconstruction settings. We argue that
reconstruction with multi-view uncalibrated images demands a new model with
stronger capacity. Our study shifts attention from data-dependent 3D Morphable
Models (3DMM) to an understudied human-designed skinning model. We propose
Adaptive Skinning Model (ASM), which redefines the skinning model with more
compact and fully tunable parameters. With extensive experiments, we
demonstrate that ASM achieves significantly improved capacity than 3DMM, with
the additional advantage of model size and easy implementation for new
topology. We achieve state-of-the-art performance with ASM for multi-view
reconstruction on the Florence MICC Coop benchmark. Our quantitative analysis
demonstrates the importance of a high-capacity model for fully exploiting
abundant information from multi-view input in reconstruction. Furthermore, our
model with physical-semantic parameters can be directly utilized for real-world
applications, such as in-game avatar creation. As a result, our work opens up
new research directions for the parametric face models and facilitates future
research on multi-view reconstruction
- …