Results 151 to 160 of about 519,897 (239)
Multi-Strategy Improved Red-Billed Blue Magpie Optimization Algorithm and Its Engineering Applications. [PDF]
Biomimetics (Basel)Ni J +5 more
europepmc +1 more source
Phong‐Rodrigues Extrinsic Vector‐Field Processing
Computer Graphics Forum, EarlyView.Abstract We introduce a new extrinsic discretization of tangent vector fields on triangle meshes that is continuous, with bounded derivatives that are continuous almost everywhere, supporting pointwise evaluation and integration of differential operators.
Hongyi Liu +4 more
wiley +1 more source
Positive curvature conditions on contractible manifolds. [PDF]
Math AnnSweeney P.
europepmc +1 more source
Progressive Convex Hull Simplification
Computer Graphics Forum, EarlyView.Abstract Convex hulls are useful as tight bounding proxies for a variety of tasks including collision detection, ray intersection, and distance computation. Unfortunately, the complexity of polyhedral convex hulls grows linearly with their input. We consider the problem of conservatively simplifying a convex hull to a specified number of half‐spaces ...
Alec Jacobson
wiley +1 more source
Improved chaos-enhanced FOX for clustering-based supervised medical classification. [PDF]
Sci RepDağlı İ, İnan O, Başçiftçi F.
europepmc +1 more source
As‐Rigid‐As‐Possible Regularization for Implicit Surfaces
Computer Graphics Forum, EarlyView.Abstract Implicit surface representations have regained popularity because of their use in machine learning. A common component in optimization is regularization, penalizing the deviation of the surface from its original shape. The popular as‐rigid‐as‐possible (Arap) energy strikes a good compromise between realistic deformation behavior and efficient ...
T. Djuren +3 more
wiley +1 more source
Joyce Structures from Quadratic Differentials on the Sphere. [PDF]
Commun Math PhysMoy T.
europepmc +1 more source
Tangent Blow‐Ups for Processing Non‐Manifold Geometry
Computer Graphics Forum, EarlyView.Abstract Many geometry processing pipelines implicitly assume their input data is a manifold, or is sampled from one, with a unique tangent plane at every point. Geometric data, however, routinely contains sharp features like edges, corners, self‐intersections, branching junctions, and other singularities, rendering standard methods ill‐defined at ...
Alice Petrov +3 more
wiley +1 more source
Secondary Cooling Water System Control Method Based on Deep Reinforcement Learning. [PDF]
Sensors (Basel)Xu J, Cheng Y, Shen C, Zhang Q.
europepmc +1 more source
One‐more‐vertex Next‐Event Estimation with Hierarchical Geometry Sampling
Computer Graphics Forum, EarlyView.Abstract Robust next‐event estimation (NEE) remains a challenge in scenes characterized by sparse or small‐scale geometry where indirect illumination is the primary transport mechanism. In these scenes, traditional path construction, which relies on local directional sampling, often fails to find intersections with the sparse geometry, and standard NEE
Jorge Garcia‐Pueyo +3 more
wiley +1 more source