Results 161 to 170 of about 70,758 (262)

Hierarchical Optimization of the As‐Rigid‐As‐Possible Energy

open access: yesComputer Graphics Forum, EarlyView.
Abstract The As‐Rigid‐As‐Possible (ARAP) energy [SA07] has become a versatile ingredient in various geometry processing and machine learning methods. The classic method for its minimization is a block coordinate descent, alternating between local rotation estimation and a global linear solve, which converges slowly for large problem instances.
Hendrik Meyer, Bernd Bickel, Marc Alexa
wiley   +1 more source

Topology‐based Visual Analysis of Hydrothermal Plumes

open access: yesComputer Graphics Forum, EarlyView.
Abstract Hydrothermal plumes are turbulent structures of intense heat and mineral smoke that rise and disperse into the deep ocean. Existing models generally characterize these systems as a single axisymmetric plume originating from a point source. However, this assumption breaks down in weakly venting, spatially distributed systems, where low‐flux ...
Adhitya Kamakshidasan   +3 more
wiley   +1 more source

A LOGIC APPROACH IN THE SIMPLEX METHOD OF LINEAR PROGRAMMING

open access: yesJOURNAL OF CHEMICAL ENGINEERING OF JAPAN, 1974
BUYUKKOCA, EDIP   +2 more
openaire   +2 more sources

Evaluating the Perceptual Space of Surface Noise for Visualization

open access: yesComputer Graphics Forum, EarlyView.
Abstract Surface noise provides a geometric alternative to color for encoding scalar information on surfaces, yet its perceptual characteristics remain insufficiently understood. We present a systematic investigation of how variations in noise amplitude and frequency are perceived when applied to 3D surfaces. Across three online perceptual studies with
A. Sterzik, N. Merk, K. Lawonn
wiley   +1 more source

SHARP: a hybrid metaheuristic approach for intelligent robotic path planning. [PDF]

open access: yesSci Rep
Fakhouri H   +7 more
europepmc   +1 more source

Scalable Computation of Topological Abstractions for Scalar Data

open access: yesComputer Graphics Forum, EarlyView.
Abstract Topological data analysis has become an important tool for large scale scalar data analysis and visualization, efficiently extracting the inherent structure and features of interest of the data. However, with growing dataset sizes and complexity, it is increasingly becoming infeasible to compute topological abstractions of interest in serial ...
M. Will   +6 more
wiley   +1 more source

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