Design of a light field microscope with uniform spatial resolution across an extended 3D volume

2021 ◽  
Author(s):  
Qi Zheng ◽  
Xin Jin ◽  
Yanqin Chen
Keyword(s):  
Spatial Resolution ◽  
Light Field ◽  
3D Volume

Spatial resolution of light field sectioning pyrometry for flame temperature measurement

2021 ◽  
Vol 140 ◽  
pp. 106545
Author(s):  
Yudong Liu ◽  
Mingjuan Zhu ◽  
Tianxiang Wang ◽  
Gang Lei ◽  
Md. Moinul Hossain ◽  
...  
Keyword(s):  
Temperature Measurement ◽  
Spatial Resolution ◽  
Light Field ◽  
Flame Temperature

scholarly journals DEM RECONSTRUCTION USING LIGHT FIELD AND BIDIRECTIONAL REFLECTANCE FUNCTION FROM MULTI-VIEW HIGH RESOLUTION SPATIAL IMAGES

2016 ◽  
Vol XLI-B3 ◽  
pp. 503-509 ◽  
Author(s):  
F. de Vieilleville ◽  
T. Ristorcelli ◽  
J.-M. Delvit
Keyword(s):  
High Resolution ◽  
Light Field ◽  
Image Synthesis ◽  
Image Sequence ◽  
Geometric Transformation ◽  
Rectilinear Motion ◽  
Material Parameters ◽  
Specific Material ◽  
3D Volume ◽  
Field Approaches

This paper presents a method for dense DSM reconstruction from high resolution, mono sensor, passive imagery, spatial panchromatic image sequence. The interest of our approach is four-fold. Firstly, we extend the core of light field approaches using an explicit BRDF model from the Image Synthesis community which is more realistic than the Lambertian model. The chosen model is the Cook-Torrance BRDF which enables us to model rough surfaces with specular effects using specific material parameters. Secondly, we extend light field approaches for non-pinhole sensors and non-rectilinear motion by using a proper geometric transformation on the image sequence. Thirdly, we produce a 3D volume cost embodying all the tested possible heights and filter it using simple methods such as Volume Cost Filtering or variational optimal methods. We have tested our method on a Pleiades image sequence on various locations with dense urban buildings and report encouraging results with respect to classic multi-label methods such as MIC-MAC, or more recent pipelines such as S2P. Last but not least, our method also produces maps of material parameters on the estimated points, allowing us to simplify building classification or road extraction.

scholarly journals Fast and Accurate Light Field View Synthesis by Optimizing Input View Selection

Micromachines ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 557
Author(s):  
Xingzheng Wang ◽  
Yongqiang Zan ◽  
Senlin You ◽  
Yuanlong Deng ◽  
Lihua Li
Keyword(s):  
Spatial Resolution ◽  
Light Field ◽  
Angular Resolution ◽  
Super Resolution ◽  
Depth Estimation ◽  
View Synthesis ◽  
The Novel ◽  
Arbitrary Location ◽  
Field View

There is a trade-off between spatial resolution and angular resolution limits in light field applications; various targeted algorithms have been proposed to enhance angular resolution while ensuring high spatial resolution simultaneously, which is also called view synthesis. Among them, depth estimation-based methods can use only four corner views to reconstruct a novel view at an arbitrary location. However, depth estimation is a time-consuming process, and the quality of the reconstructed novel view is not only related to the number of the input views, but also the location of the input views. In this paper, we explore the relationship between different input view selections with the angular super-resolution reconstruction results. Different numbers and positions of input views are selected to compare the speed of super-resolution reconstruction and the quality of novel views. Experimental results show that the speed of the algorithm decreases with the increase of the input views for each novel view, and the quality of the novel view decreases with the increase of the distance from the input views. After comparison using two input views in the same line to reconstruct the novel views between them, fast and accurate light field view synthesis is achieved.

scholarly journals Improving Spatial Resolution in Real-time for Ultra-thin Light Field Cameras

2021 ◽  
Vol 27 (3) ◽  
pp. 25-29
Author(s):  
Donggun Kim ◽  
Jaekwan Ryu ◽  
Yongjin Jo ◽  
Min H. Kim
Keyword(s):  
Real Time ◽  
Spatial Resolution ◽  
Light Field

scholarly journals An industrial light field camera applied for 3D velocity measurements in flow past confined cylinder

2019 ◽  
Vol 196 ◽  
pp. 00056
Author(s):  
Alexander Seredkin ◽  
Maxim Shestakov ◽  
Tokarev Mikhail
Keyword(s):  
Quality Control ◽  
Spatial Resolution ◽  
Light Field ◽  
Optical Axis ◽  
Turbulent Wake ◽  
Velocity Fields ◽  
Depth Of Field ◽  
Velocity Measurements ◽  
Piv Measurements ◽  
Light Field Image

Light field cameras have some advantages over classic cameras in a narrow field of application, such photography, cinematography surveillance and quality control in industry. Light field cameras have larger depth of field, compare to regular camera, but lower spatial resolution along optical axis then binocular system. However, 3D velocity measurements using light field are reasonable alternative to modern 3D PIV measurements. The nature of light field image requires extra reconstruction step which affects overall accuracy. In this article, light field PTV was compared to Tomo-PIV. Both techniques were used to measure 3D velocity fields in a turbulent wake past confined cylinder.

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