On the Reflective Property of Ellipses

1980 ◽  
Vol 87 (4) ◽  
pp. 294
Author(s):  
James H. Foster ◽  
Jean J. Pedersen
Keyword(s):  
Reflective Property

scholarly journals ON RELATION BETWEEN SENSORY TEST AND REFLECTIVE PROPERTY OF FABRIC LUSTER

1969 ◽  
Vol 25 (5) ◽  
pp. 241-247
Author(s):  
Hiroaki Nakazato ◽  
Masanori Meguro
Keyword(s):  
Sensory Test ◽  
Reflective Property

Effects of Mn4+ Doping on the Phase Composition, Crystal Structure and Light Reflective Property of SmAlO3

2017 ◽  
Vol 9 (4) ◽  
pp. 583-585 ◽  
Author(s):  
Pengde Han ◽  
Yiqing Zhu ◽  
Tianjing Li ◽  
Qingle Shi ◽  
Qitu Zhang
Keyword(s):  
Crystal Structure ◽  
Phase Composition ◽  
Reflective Property

Proving the Reflective Property of an Ellipse

2014 ◽  
Vol 87 (4) ◽  
pp. 276-279 ◽  
Author(s):  
Stephan Berendonk
Keyword(s):  
Reflective Property

A Proof of the Reflective Property of the Parabola

1987 ◽  
Vol 94 (7) ◽  
pp. 667
Author(s):  
Robert C. Williams
Keyword(s):  
Reflective Property

The scattering of surface waves by two submerged cylinders

1971 ◽  
Vol 69 (1) ◽  
pp. 201-215 ◽  
Author(s):  
Jon T. Schnute
Keyword(s):  
Circular Cylinder ◽  
Surface Waves ◽  
Ideal Fluid ◽  
Periodic Surface ◽  
Reflective Property ◽  
Historical Basis ◽  
Submerged Objects ◽  
Time Periodic

1. Introduction. The historical basis for the work in this paper lies in a remarkable fact discovered by Dean in 1948. He found that time-periodic surface waves in an ideal fluid experience no reflexion when they encounter normally a fixed, submerged, right-circular cylinder. We might reasonably ask if a similar non-reflective property carries over to different geometrical configurations of submerged objects, for example, two or more cylinders. This question motivates the investigation which follows.

Facile Synthesis of Conical Arrays with Broadband Antireflective Property

2014 ◽  
Vol 614 ◽  
pp. 79-83
Author(s):  
Wen Yan Zhang ◽  
Ling Yun Hao ◽  
Chun Hua Lu ◽  
Chun Hua Feng ◽  
Qin Lin ◽  
...  
Keyword(s):  
Mass Production ◽  
Smooth Surface ◽  
Near Infrared ◽  
Low Cost ◽  
Infrared Region ◽  
Polydimethyl Siloxane ◽  
Facile Synthesis ◽  
Specular Reflectance ◽  
Regular Shape ◽  
Reflective Property

Conical arrays of polydimethyl siloxane were fabricated by duplicating the morphology of needle tips. The prepared cones have periodic order and regular shape, with the bottom diameter of about 80 μm and height of about 250 μm. Due to their special structure, the conical arrays of polydimethyl siloxane exhibited broadband anti-reflective property. Compared with smooth surface, they could reduce the reflection of incident electromagnetic wave at ultraviolet, visible and near-infrared region. The specular reflectance was lower than 0.75% in the range of 250-2600 nm. The prepared PDMS cones have potential to be applied for antireflective devices. The method was simple for mass production of PDMS cones at low cost.

scholarly journals Improved High Dynamic Range for 3D Shape Measurement based on Saturation of the Coloured Fringe

2021 ◽  
Vol 29 (2) ◽  
Author(s):  
Shanyu Chua ◽  
Chee Chin Lim ◽  
Swee Kheng Eng ◽  
Yen Fook Chong ◽  
Chiun Tai Loh
Keyword(s):  
Measurement Errors ◽  
Dynamic Range ◽  
Three Dimensional ◽  
High Dynamic Range ◽  
Projection Methods ◽  
Phase Shifting ◽  
Reflective Property ◽  
High Dynamic ◽  
The Times ◽  
3D Information

Phase-shifting fringe projection methods have been developed for three-dimensional scanning (Zuo et al., 2018). However, the 3-Dimensional (3D) scanning of objects with a high dynamic reflectivity range based on structured light is a challenging task to achieve (Feng et al., 2018). The incorrect intensities captured will cause phase and measurement errors. Thus, this paper proposes a method that improves the current High Dynamic Range (HDR) (Jiang et al., 2016)) method to increase the dynamic range. The camera and projector have 3 channels, red, green, and blue, which can absorb and project these lights independently. This paper proposes a method that makes use of this by controlling the intensity of each projected for the camera. Each image can be split into 3 channels and provide 3 images which contain different intensities, then it will be used to compute the 3D information. In general, this is done by controlling the projection of red, green and blue (RGB) channel and apply the Jiang’s algorithm (Jiang et al., 2016). The results are compared and analysed with current HDR (Jiang’s method) and the regular three-step phase-shifting methods. From the experimental results, it has shown that our proposed method outperforms the current HDR and the regular three-step phase-shifting methods. Specifically, the proposed method manages to increase the dynamic range of the reflective property of objects. Additionally, our proposed method has also significantly reduced the times of 3D object measurements.

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