Results 91 to 100 of about 89,388 (233)

Fast Injective Mesh Parameterization via Beltrami Coefficient Prolongation

open access: yesComputer Graphics Forum, EarlyView.
Abstract We present a highly efficient and robust method for free boundary injective parameterization of disk‐like triangle meshes with low isometric distortion. Harmonic function–based approaches, grounded in a strong mathematical framework, are widely employed.
G. Fargion, O. Weber
wiley   +1 more source

Survey on differential estimators for 3d point clouds

open access: yesComputer Graphics Forum, EarlyView.
Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger   +4 more
wiley   +1 more source

Pointwise-in-time a posteriori error control for time-fractional parabolic equations

open access: yes, 2021
For time-fractional parabolic equations with a Caputo time derivative of order α ∈ (0, 1), we give pointwise-in-time a posteriori error bounds in the spatial L2 and L∞ norms.
NATALIA KOPTEVA (12353197)   +1 more
core   +1 more source

Establishing Shape Correspondences: A Survey

open access: yesComputer Graphics Forum, EarlyView.
Abstract Shape correspondence between surfaces in 3D is a central problem in geometry processing, concerned with establishing meaningful relations between surfaces. While all correspondence problems share this goal, specific formulations can differ significantly: Downstream applications require certain properties that correspondences must satisfy ...
A. Heuschling, H. Meinhold, L. Kobbelt
wiley   +1 more source

Mixed Super‐Circles

open access: yesComputer Graphics Forum, EarlyView.
Abstract We introduce mixed super‐circles, a position‐curvature formulation of the original dynamic 2D super‐helix model. Compared to the latter, purely curvature‐based model – the so‐called chained formulation –, the mixed formulation that we propose here drastically reduces the algorithmic complexity of the solving scheme – from quadratic to quasi ...
Emile Hohnadel   +2 more
wiley   +1 more source

Medial Axis Aware Learning of Signed Distance Functions

open access: yesComputer Graphics Forum, EarlyView.
Abstract We propose a novel variational method to compute a highly accurate global signed distance function (SDF) to a given point cloud. To this end, the jump set of the gradient of the SDF, which coincides with the medial axis of the surface, is explicitly taken into account through a higher‐order variational formulation that enforces linear growth ...
Samuel Weidemaier   +2 more
wiley   +1 more source

On Bending in the As‐Rigid‐As‐Possible Deformation Energy

open access: yesComputer Graphics Forum, EarlyView.
Abstract The well‐established As‐Rigid‐As‐Possible (ARAP) energy has various forms. For surface deformation, commonly used energies contain an implicit bending penalty. We present a natural, continuous generalization that incorporates multiple ARAP versions with an implicit, user‐controllable bending penalty.
Ugo Finnendahl, Marc Alexa
wiley   +1 more source

Mafia and Public Spending: Evidence on the Fiscal Multiplier from a Quasi-experiment [PDF]

open access: yes
A law issued to combat political corruption and ma.a in.ltration of city councils in Italy has resulted in episodes of large, unanticipated, temporary contractions in local public spending.
Antonio Acconcia   +2 more
core  

Design and simulation of silicon photo-multiplier

open access: yes, 2023
© 2016 IEEE. Silicon Photo-Multiplier (SiPM) is a state of the art photo-detector, capable of detecting extremely low light flux as low as single photon with high gain (∼ 105) and high resolution.
R A Shukla (13561279)   +5 more
core  

Compactly supported detail field for high quality neural implicit surfaces

open access: yesComputer Graphics Forum, EarlyView.
Abstract Neural implicit surfaces are a powerful tool for encoding a surface as the zero level set of a neural function. Trained using gradient‐descent based optimizers, these methods however suffer from a low‐frequency bias that prevents them to fit fine details of the surface.
Guillaume Coiffier, Justine Basselin
wiley   +1 more source

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