Results 41 to 50 of about 14,989,965 (288)
INTEGRATING SCALE AND SPACE IN 3D CITY MODELS [PDF]
This paper presents the problem of the current separate treatment of levels of detail in city models. We propose a solution, detail the main principles, and present our initial results on the approach.
J. Stoter+3 more
doaj +1 more source
Reconstructing building models at different levels of detail (LoDs) from airborne laser scanning point clouds is urgently needed for wide application as this method can balance between the user’s requirements and economic costs.
Bisheng Yang+5 more
semanticscholar +1 more source
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain [PDF]
We address the issue of visual saliency from three perspectives. First, we consider saliency detection as a frequency domain analysis problem. Second, we achieve this by employing the concept of nonsaliency.
Jian Li+4 more
semanticscholar +1 more source
Navier--Stokes regularity criteria in sum spaces [PDF]
In this paper, we will consider regularity criteria for the Navier--Stokes equation in mixed Lebesgue sum spaces. In particular, we will prove regularity criteria that only require control of the velocity, vorticity, or the positive part of the second eigenvalue of the strain matrix, in the sum space of two scale critical spaces.
arxiv +1 more source
Scale and space dependencies of soil nitrogen variability [PDF]
In this study, we use multifractal analysis, through generalized dimensions (Dq) and the relative entropy (E(δ)), to investigate the residual effects of fertigation treatments applied to a previous crop on wheat and grain biomass and nitrogen content ...
A. M. Tarquis+7 more
doaj +1 more source
We derive both Lagrangian and Hamiltonian mechanics as gauge theories of Newtonian mechanics. Systematic development of the distinct symmetries of dynamics and measurement suggest that gauge theory may be motivated as a reconciliation of dynamics with ...
Anderson+7 more
core +1 more source
Scale Equivariant Neural Networks with Morphological Scale-Spaces [PDF]
The translation equivariance of convolutions can make convolutional neural networks translation equivariant or invariant. Equivariance to other transformations (e.g. rotations, affine transformations, scalings) may also be desirable as soon as we know a priori that transformed versions of the same objects appear in the data.
arxiv
Fast Frequency Estimation by Zero Crossings of Differential Spline Wavelet Transform
Zero crossings or extrema of a wavelet transform constitute important signatures for signal analysis with the advantage of great simplicity. In this paper, we introduce a fast frequency-estimation method based on zero-crossing counting in the transform ...
Chen Jie+3 more
doaj +1 more source
This paper presents an analysis of properties of two hybrid discretisation methods for Gaussian derivatives, based on convolutions with either the normalised sampled Gaussian kernel or the integrated Gaussian kernel followed by central differences.
Tony Lindeberg
doaj +1 more source
Defocus Blur-Invariant Scale-Space Feature Extractions
We propose modifications to scale-space feature extraction techniques scale-invariant feature transform (SIFT) and speeded up robust features (SURFs) that make the feature detection and description invariant to defocus blur. Specifically, the scale-space
Elhusain Saad, Keigo Hirakawa
semanticscholar +1 more source