This paper presents a new importance sampling strategy for Monte Carlo ray tracing in which a rough estimate of the irradiance based on the photon map is combined with the local re ection model to construct more e cient probability density functions that can be used in an importance sampling scheme The algorithm gives unbiased results handles arbitrary re ection models and it is particularly e ...

A new method, Compressive Re-Sampling (CRS), is introduced to reduce the effect of speckle noise, a granular noise inherent in all coherent imaging technologies. The new method is motivated by the successful applications of compressive sensing (CS) to image processing and wireless communications. While compressive sampling is focused on acquiring signals at reduced data rates or reduced acquisi...

In this paper we propose to use invariant signatures of polygonal approximations of smooth curves for projective object recognition. Similar signatures have been proposed previously as simple and robust signatures. However, they were known to be sensitive to the curve sampling scheme and density, and worked well mainly for in-trinsically polygonal shapes. This paper proposes a re-sampling metho...

Abstract This paper addresses the reconstruction of compactly supported functions from non-uniform samples of their Fourier transform. We briefly investigate the consequences of acquiring non-uniform spectral data. We summarize two often applied reconstruction methods, convolutional gridding and uniform re-sampling, and investigate the reconstruction accuracy as it relates to sampling density. ...

Service level agreement (SLA) is an essential part of cloud systems to ensure maximum availability of services for customers. With a violation of SLA, the provider has to pay penalties. Thus, being able to predict SLA violations favors both the customers and the providers. In this paper, we explore two machine learning models: Naive Bayes and Random Forest Classifiers to predict SLA violations....

This present study, proposes a new 3D face correspondence method. A uniform mesh re-sampling algorithm is combined with mesh simplification algorithm to make correspondence between vertices of prototypical 3D faces. Uniform mesh re-sampling algorithm is developed to obtain the same topology between 3D faces with different structures. A global error metrics is proposed and mesh simplification is...

Whereas the role of patents in cumulative innovation has been well established, little work has examined the impact that copyright policy may have on cumulative innovation in creative content industries. Utilizing U.S. federal court decisions that strengthened the breadth of copyright policy, this paper examines the implications of those decisions on the re-use of original content in the popula...

INTRODUCTION Extended transrectal ultrasound-guided prostate biopsy is a state-of-the-art tool for prostate cancer detection. Nevertheless, approximately 1/3 of cancers are missed when using this method and repeat biopsy sessions are often required. The aim of this study was to investigate how sampling density (a compound variable reflecting the number of biopsy cores and prostate volume) impac...

With the emergence of large-scale point-sampled geometry acquired by high-resolution 3D scanning devices, it has become increasingly important to develop efficient algorithms for processing such models which have abundant geometric details and complex topology in general. As a preprocessing step, surface simplification is important and necessary for the subsequent operations and geometric proce...

A grid-driven gridding (GDG) method is proposed to uniformly re-sample non-Cartesian raw data acquired in PROPELLER, in which a trajectory window for each Cartesian grid is first computed. The intensity of the reconstructed image at this grid is the weighted average of raw data in this window. Taking consider of the single instruction multiple data (SIMD) property of the proposed GDG, a CUDA ac...