Incremental reconstruction of sharp edges on mesh surfaces

2006 ◽  
Vol 38 (6) ◽  
pp. 689-702 ◽  
Author(s):  
Charlie C.L. Wang
Keyword(s):  
Sharp Edges

CYCLOPS M4

Alloy Digest ◽  
1978 ◽  
Vol 27 (7) ◽  
Keyword(s):  
High Temperature ◽  
Physical Properties ◽  
Abrasion Resistance ◽  
High Speed ◽  
Heat Treating ◽  
Heavy Duty ◽  
Maximum Hardness ◽  
Temperature Performance ◽  
Sharp Edges ◽  
Normal Carbon

Abstract CYCLOPS M4 is a deep-hardening steel that was developed to utilize the excellent abrasion resistance that results from higher-than-normal carbon and vanadium contents in the molybdenum-tungsten family of high-speed steels. It is recommended for heavy-duty cutting operations and for sharp edges for fine cuts. Cyclops M4 should always be used at or near maximum hardness. This datasheet provides information on composition, physical properties, hardness, and elasticity. It also includes information on high temperature performance as well as forming, heat treating, machining, and joining. Filing Code: TS-335. Producer or source: Cyclops Corporation.

Mixing intensification using sound-driven micromixer with sharp edges

2021 ◽  
Vol 410 ◽  
pp. 128252
Author(s):  
Chuanyu Zhang ◽  
Philippe Brunet ◽  
Laurent Royon ◽  
Xiaofeng Guo
Keyword(s):  
Sharp Edges ◽  
Mixing Intensification

scholarly journals 3D Mesh Pre-processing Method Based on Feature Point Classification and Anisotropic Vertex Denoising Considering Scene Structure Characteristics

2021 ◽  
Vol 13 (11) ◽  
pp. 2145
Author(s):  
Yawen Liu ◽  
Bingxuan Guo ◽  
Xiongwu Xiao ◽  
Wei Qiu
Keyword(s):  
Real Data ◽  
Geometric Constraints ◽  
Feature Point ◽  
Feature Points ◽  
Denoising Method ◽  
3D Mesh ◽  
Mesh Denoising ◽  
Scene Structure ◽  
Sharp Edges ◽  
Update Strategy

3D mesh denoising plays an important role in 3D model pre-processing and repair. A fundamental challenge in the mesh denoising process is to accurately extract features from the noise and to preserve and restore the scene structure features of the model. In this paper, we propose a novel feature-preserving mesh denoising method, which was based on robust guidance normal estimation, accurate feature point extraction and an anisotropic vertex denoising strategy. The methodology of the proposed approach is as follows: (1) The dual weight function that takes into account the angle characteristics is used to estimate the guidance normals of the surface, which improved the reliability of the joint bilateral filtering algorithm and avoids losing the corner structures; (2) The filtered facet normal is used to classify the feature points based on the normal voting tensor (NVT) method, which raised the accuracy and integrity of feature classification for the noisy model; (3) The anisotropic vertex update strategy is used in triangular mesh denoising: updating the non-feature points with isotropic neighborhood normals, which effectively suppressed the sharp edges from being smoothed; updating the feature points based on local geometric constraints, which preserved and restored the features while avoided sharp pseudo features. The detailed quantitative and qualitative analyses conducted on synthetic and real data show that our method can remove the noise of various mesh models and retain or restore the edge and corner features of the model without generating pseudo features.

Effects on Test Performance of Test Apparatus Boards Made of Different Material

1971 ◽  
Vol 32 (3) ◽  
pp. 916-918
Author(s):  
Richard D. Primmer ◽  
Robert M. Tipton
Keyword(s):  
Test Performance ◽  
Test Battery ◽  
Test Apparatus ◽  
Sharp Edges ◽  
Better Than

S s were administered Parts 9 and 10 of the GATB routinely as part of the test battery. 111 Ss used plastic apparatus boards and plastic pegs, while 128 used wooden apparatus boards and wooden pegs. Ss using wooden boards performed significantly better than Ss using plastic boards. Differences in performance were attributed to coarser texture of wooden pegs, heavier, more stable wooden boards, and a slight wearing at the edges of the wooden pegs and holes in contrast to the sharp edges on the plastic pegs.

NEUROSCIENCE: Sharp Edges Into New Terrain

Science ◽  
2001 ◽  
Vol 293 (5534) ◽  
pp. 1420-1420
Author(s):  
A. Lawler
Keyword(s):  
Sharp Edges

scholarly journals Traid-bit embedding process on Arabic text steganography method

2021 ◽  
Vol 10 (1) ◽  
pp. 493-500
Author(s):  
Roshidi Din ◽  
Reema Ahmed Thabit ◽  
Nur Izura Udzir ◽  
Sunariya Utama
Keyword(s):  
Intellectual Property ◽  
Continuous Improvement ◽  
High Capacity ◽  
Arabic Language ◽  
The Internet ◽  
Arabic Text ◽  
Art And Science ◽  
Text Steganography ◽  
Sharp Edges ◽  
Audio Video

The enormous development in the utilization of the Internet has driven by a continuous improvement in the region of security. The enhancement of the security embedded techniques is applied to save the intellectual property. There are numerous types of security mechanisms. Steganography is the art and science of concealing secret information inside a cover media such as image, audio, video and text, without drawing any suspicion to the eavesdropper. The text is ideal for steganography due to its ubiquity. There are many steganography embedded techniques used Arabic language to embed the hidden message in the cover text. Kashida, Shifting Point and Sharp-edges are the three Arabic steganography embedded techniques with high capacity. However, these three techniques have lack of performance to embed the hidden message into the cover text. This paper present about traid-bit method by integrating these three Arabic text steganography embedded techniques. It is an effective way to evaluate many embedded techniques at the same time, and introduced one solution for various cases.

Sign in / Sign up

Export Citation Format

Share Document