Results 21 to 30 of about 406,491 (258)

Approximately Nearest Neighborhood Image Search Using Unsupervised Hashing via Homogeneous Kernels

open access: yesComplexity, 2018
We propose an approximation search algorithm that uses additive homogeneous kernel mapping to search for an image approximation based on kernelized locality-sensitive hashing. To address problems related to the unstable search accuracy of an unsupervised
Jun-Yi Li, Jian-Hua Li
doaj   +1 more source

Comparative Studies of Lensing Methods [PDF]

open access: yes, 2000
Predictions of the standard thin lens approximation and a new iterative approach to gravitational lensing are compared with an ``exact'' approach in simple test cases involving one or two lenses.
Kling, Thomas P.   +2 more
core   +2 more sources

Low-Cost Non-Contact PCBs Temperature Monitoring and Control in a Hot Air Reflow Process Based on Multiple Thermocouples Data Fusion

open access: yesIEEE Access, 2021
As the environmental concern is being raised over residues of lead, the trend of transferring from the conventional lead-based soldering to lead-free soldering is overwhelming. Lead-free solders require the peak temperature to be about 30 degrees Celsius
Tin Lun Lam
doaj   +1 more source

Enhancement of Depth Value Approximation for 3D Image-Based Modelling using Noise Filtering and Inverse Perspective Mapping Techniques for Complex Object

open access: yesJournal of Computing Research and Innovation, 2023
This article proposes the methods to enhance the depth value approximation in 3D Image Based Modelling for complex object. Fundamentally, the fast and accurate depth value approximation is crucial as the 3D modelling used in virtual and augmented reality
Intan Syaherra Ramli   +2 more
doaj   +1 more source

ENO-wavelet transforms for piecewise smooth functions [PDF]

open access: yes, 2002
We have designed an adaptive essentially nonoscillatory (ENO)-wavelet transform for approximating discontinuous functions without oscillations near the discontinuities. Our approach is to apply the main idea from ENO schemes for numerical shock capturing
Chan, Tony F., Zhou, H. M.
core   +2 more sources

Efficient and Accurate Gaussian Image Filtering Using Running Sums

open access: yes, 2011
This paper presents a simple and efficient method to convolve an image with a Gaussian kernel. The computation is performed in a constant number of operations per pixel using running sums along the image rows and columns.
Elboher, Elhanan, Werman, Michael
core   +2 more sources

ON OPTIMAL 2-D DOMAIN SEGMENTATION PROBLEM VIA PIECEWISE SMOOTH APPROXIMATION OF A SELECTIVE TARGET MAPPING

open access: yesJournal of Optimization, Differential Equations and Their Applications, 2019
In this paper we propose a new technique for the solution of the image segmentation problem which is based on the concept of a piecewise smooth approximation of some target functional.
Volodymyr V. Hnatushenko   +2 more
doaj   +1 more source

Evaluating the Accuracy of Gaussian Approximations in VSWIR Imaging Spectroscopy Retrievals

open access: yesIEEE Transactions on Geoscience and Remote Sensing
The joint retrieval of surface reflectances and atmospheric parameters in VSWIR imaging spectroscopy is a computationally challenging high-dimensional problem. Using NASA's Surface Biology and Geology mission as the motivational context, the uncertainty associated with the retrievals is crucial for further application of the retrieved results for ...
Kelvin M. Leung   +5 more
openaire   +2 more sources

On surface completion and image inpainting by biharmonic functions: Numerical aspects [PDF]

open access: yes, 2018
Numerical experiments with smooth surface extension and image inpainting using harmonic and biharmonic functions are carried out. The boundary data used for constructing biharmonic functions are the values of the Laplacian and normal derivatives of the ...
Damelin, S. B., Hoang, N. S.
core   +3 more sources

Energy-Performance Scalability Analysis of a Novel Quasi-Stochastic Computing Approach

open access: yesJournal of Low Power Electronics and Applications, 2019
Stochastic computing (SC) is an emerging low-cost computation paradigm for efficient approximation. It processes data in forms of probabilities and offers excellent progressive accuracy.
Prashanthi Metku, Ramu Seva, Minsu Choi
doaj   +1 more source

Home - About - Disclaimer - Privacy