scholarly journals Mesh Denoising via Adaptive Consistent Neighborhood

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 412
Author(s):  
Mingqiang Guo ◽  
Zhenzhen Song ◽  
Chengde Han ◽  
Saishang Zhong ◽  
Ruina Lv ◽  
...  
Keyword(s):  
Graph Cut ◽  
Underlying Surface ◽  
Geometric Features ◽  
Two Stage ◽  
Mesh Denoising ◽  
Normal Field ◽  
Stage Scheme ◽  
Complex Shapes ◽  
Patch Shift

In this paper, we propose a novel guided normal filtering followed by vertex updating for mesh denoising. We introduce a two-stage scheme to construct adaptive consistent neighborhoods for guided normal filtering. In the first stage, we newly design a consistency measurement to select a coarse consistent neighborhood for each face in a patch-shift manner. In this step, the selected consistent neighborhoods may still contain some features. Then, a graph-cut based scheme is iteratively performed for constructing different adaptive neighborhoods to match the corresponding local shapes of the mesh. The constructed local neighborhoods in this step, known as the adaptive consistent neighborhoods, can avoid containing any geometric features. By using the constructed adaptive consistent neighborhoods, we compute a more accurate guide normal field to match the underlying surface, which will improve the results of the guide normal filtering. With the help of the adaptive consistent neighborhoods, our guided normal filtering can preserve geometric features well, and is robust against complex shapes of surfaces. Intensive experiments on various meshes show the superiority of our method visually and quantitatively.

Application of a two-stage scheme of gas chromatographic analysis of unstable reforming catalysate

1970 ◽  
Vol 6 (9) ◽  
pp. 704-706
Author(s):  
A. P. Dorokhov ◽  
G. V. Emel'yanova ◽  
I. I. Ioffe ◽  
N. P. Mel'nikova ◽  
V. E. Shefter
Keyword(s):  
Chromatographic Analysis ◽  
Two Stage ◽  
Gas Chromatographic Analysis ◽  
Stage Scheme

A Two-Stage Approach for Project Reviewer Assignment Problem

2012 ◽  
Vol 452-453 ◽  
pp. 369-373 ◽  
Author(s):  
Rong Chang Chen ◽  
Pei Hsuan Shang ◽  
Mei Chun Chen
Keyword(s):  
Assignment Problem ◽  
Total Change ◽  
Two Stage ◽  
Second Stage ◽  
Stage Scheme ◽  
Total Movement

In this paper we employ a two-stage approach to solve the project reviewer assignment problem. The objective is to best satisfy the preferences of reviewers. In addition, the number of total movement times of reviewers is minimized. Reviewers are first invited to show their preferences to the projects with a number to indicate their priority. After aggregating the data, a two-stage approach is used to best match the reviewers and projects. At the first stage reviewers are assigned, while at the second stage review venues are arranged in a way that the total change times of venues for reviewers are minimized. The results show that the proposed two-stage scheme is very helpful in solving the project reviewer assignment problem.

scholarly journals Mechanism design with financially constrained agents and costly verification

2021 ◽  
Vol 16 (3) ◽  
pp. 1139-1194
Author(s):  
Yunan Li
Keyword(s):  
Mechanism Design ◽  
Private Information ◽  
Cash Transfers ◽  
Cash Transfer ◽  
Sales Tax ◽  
Lower Price ◽  
Two Stage ◽  
Indivisible Good ◽  
Stage Scheme ◽  
Resale Market

A principal distributes an indivisible good to budget‐constrained agents when both valuation and budget are agents' private information. The principal can verify an agent's budget at a cost. The welfare‐maximizing mechanism can be implemented via a two‐stage scheme. First, agents report their budgets, receive cash transfers, and decide whether to enter a lottery over the good. Second, recipients of the good can sell it on a resale market but must pay a sales tax. Low‐budget agents receive a higher cash transfer, pay a lower price to enter the lottery, and face a higher sales tax. They are also randomly inspected.

A Comparison of Two-Stage Scheme and Fully Sequential Sampling Scheme for Estimating Software Reliability

2020 ◽  
Vol 10 (10) ◽  
pp. 1-5
Author(s):  
Bader S Alanazi
Keyword(s):  
Software Reliability ◽  
Sequential Sampling ◽  
Sampling Scheme ◽  
Test Cases ◽  
Two Stage ◽  
Balanced Sampling ◽  
Stage Scheme ◽  
Estimate Reliability ◽  
Two Phases ◽  
Better Than

In this paper, we compare two-stage sequential sampling scheme with fully sequential sampling scheme to test software and estimate reliability. In two-stage sampling scheme, test cases can be allocated among partitions in two phases. Our goal of this scheme is to obtain the near-optimal choices for distributing of test cases among sub-domains by minimizing the variance of the overall software reliability estimator. The two-stage sampling scheme is expected to be more convenient than a fully sequential sampling scheme because it requires fewer computations than the fully sequential sampling scheme. Also, the two-stage sampling scheme is expected to perform better than a balanced sampling scheme by virtue of lower the variance incurred by the overall estimated software reliability

Pilot study of SBR biological treatment and microfiltration for reclamation and reuse of municipal wastewater

2000 ◽  
Vol 42 (1-2) ◽  
pp. 263-268 ◽  
Author(s):  
R. Messalem ◽  
A. Brenner ◽  
S. Shandalov ◽  
Y. Leroux ◽  
P. Uzlaner ◽  
...  
Keyword(s):  
Water Reuse ◽  
Municipal Wastewater ◽  
Batch Reactor ◽  
Groundwater Resources ◽  
Oxygen Demand ◽  
Pilot Scale ◽  
Fecal Coliforms ◽  
Wastewater Reclamation ◽  
Two Stage ◽  
Stage Scheme

In Israel the shortage of water and concern for the quality of groundwater resources have led to an awareness that a national wastewater reclamation program must be developed. Such a program could cover a major part of the agricultural water demand and could facilitate disposal of effluents without health hazards or environmental problems. A two-stage pilot-scale system comprising secondary sequencing batch reactor (SBR) treatment and tertiary microfiltration was operated for the treatment of Beer-Sheva municipal wastewater. The self-cleaning, continuous microfiltration system comprised a filter module made up of hollow fiber microporous membranes, with a pore size distribution of less than 0.1 μm, encapsulated into a bundle. The unit, which has a nominal filtration area of 4 m2, can treat 4–5 m3 of sewage per day, at a nominal rate of about 500 L/h. SBR treatment of the raw sewage produced an effluent with a biochemical oxygen demand (BOD) of <20 mg/L and total suspended solids (TSS) of <20 mg/L. Further treatment by microfiltration resulted in a BOD <5 mg/L, TSS <1 mg/L and turbidity <0.2 nephelometric turbidity units (NTU). Bacterial counts showed 6-log removal of coliforms and fecal coliforms. These results indicate that the two-stage scheme is capable of producing an effluent that meets or even surpasses the requirements for unrestricted water reuse for agriculture.

scholarly journals Вплив комплексної терапії з використанням імуномодуляторів на цитокіновий статус хворих на хронічний генералізований пародонтит І–ІІ ступенів тяжкості з ентеробіозом

2017 ◽  
Author(s):  
N. N. Savelieva
Keyword(s):  
Inflammatory Cytokines ◽  
Conventional Therapy ◽  
Research Data ◽  
Complex Treatment ◽  
Two Stage ◽  
Stage Scheme ◽  
Anti Inflammatory ◽  
Degrees Of Severity

There was conducted the study of clinical and immunological efficacy using of the two-stage scheme of complex treatment with immunomodulators in patients with chronic generalized periodontitis I–II degrees of severity on the background of enterobiosis it was shown that this therapy is pathogenetically justified, promotes more effective correction of cytokine status, normalizing the balance between pro-inflammatory and anti-inflammatory cytokines. The findings of the research data demonstrate a higher level of clinical and immunological effectiveness of the developed treatment compared with conventional therapy.

scholarly journals Robust Mesh Denoising via Triple Sparsity

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1001 ◽  
Author(s):  
Saishang Zhong ◽  
Zhong Xie ◽  
Jinqin Liu ◽  
Zheng Liu
Keyword(s):  
Computer Aided Design ◽  
Impulsive Noise ◽  
Laser Scanner ◽  
Optimization Method ◽  
Mesh Denoising ◽  
Normal Field ◽  
The Face ◽  
Augmented Lagrange Method ◽  
Broad Variety ◽  
Sparse Prior

Mesh denoising is to recover high quality meshes from noisy inputs scanned from the real world. It is a crucial step in geometry processing, computer vision, computer-aided design, etc. Yet, state-of-the-art denoising methods still fall short of handling meshes containing both sharp features and fine details. Besides, some of the methods usually introduce undesired staircase effects in smoothly curved regions. These issues become more severe when a mesh is corrupted by various kinds of noise, including Gaussian, impulsive, and mixed Gaussian–impulsive noise. In this paper, we present a novel optimization method for robustly denoising the mesh. The proposed method is based on a triple sparsity prior: a double sparse prior on first order and second order variations of the face normal field and a sparse prior on the residual face normal field. Numerically, we develop an efficient algorithm based on variable-splitting and augmented Lagrange method to solve the problem. The proposed method can not only effectively recover various features (including sharp features, fine details, smoothly curved regions, etc), but also be robust against different kinds of noise. We testify effectiveness of the proposed method on synthetic meshes and a broad variety of scanned data produced by the laser scanner, Kinect v1, Kinect v2, and Kinect-fusion. Intensive numerical experiments show that our method outperforms all of the compared select-of-the-art methods qualitatively and quantitatively.

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