scholarly journals Single-Shot Dense Depth Sensing with Color Sequence Coded Fringe Pattern

Sensors ◽  
2017 ◽  
Vol 17 (11) ◽  
pp. 2558 ◽  
Author(s):  
Fu Li ◽  
Baoyu Zhang ◽  
Guangming Shi ◽  
Yi Niu ◽  
Ruodai Li ◽  
...  
Keyword(s):  
Fringe Pattern ◽  
Single Shot ◽  
Depth Sensing ◽  
Color Sequence

scholarly journals Single-shot detection of 8 unique monochrome fringe patterns representing 4 distinct directions via multispectral fringe projection profilometry

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Parsa Omidi ◽  
Mohamadreza Najiminaini ◽  
Mamadou Diop ◽  
Jeffrey J. L. Carson
Keyword(s):  
Spatial Resolution ◽  
Fringe Pattern ◽  
Three Dimensional ◽  
Fringe Projection ◽  
Video Frame ◽  
Single Shot ◽  
Shot Detection ◽  
Fringe Patterns ◽  
Fringe Projection Profilometry ◽  
Multispectral Camera

AbstractSpatial resolution in three-dimensional fringe projection profilometry is determined in large part by the number and spacing of fringes projected onto an object. Due to the intensity-based nature of fringe projection profilometry, fringe patterns must be generated in succession, which is time-consuming. As a result, the surface features of highly dynamic objects are difficult to measure. Here, we introduce multispectral fringe projection profilometry, a novel method that utilizes multispectral illumination to project a multispectral fringe pattern onto an object combined with a multispectral camera to detect the deformation of the fringe patterns due to the object. The multispectral camera enables the detection of 8 unique monochrome fringe patterns representing 4 distinct directions in a single snapshot. Furthermore, for each direction, the camera detects two π-phase shifted fringe patterns. Each pair of fringe patterns can be differenced to generate a differential fringe pattern that corrects for illumination offsets and mitigates the effects of glare from highly reflective surfaces. The new multispectral method solves many practical problems related to conventional fringe projection profilometry and doubles the effective spatial resolution. The method is suitable for high-quality fast 3D profilometry at video frame rates.

scholarly journals Vari-Focal Light Field Camera for Extended Depth of Field

Micromachines ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1453
Author(s):  
Hyun Myung Kim ◽  
Min Seok Kim ◽  
Sehui Chang ◽  
Jiseong Jeong ◽  
Hae-Gon Jeon ◽  
...  
Keyword(s):  
Light Field ◽  
High Reliability ◽  
Focal Length ◽  
Outdoor Environment ◽  
Depth Of Field ◽  
Depth Information ◽  
Single Shot ◽  
Depth Sensing ◽  
Depth Measurement ◽  
Sensing Applications

The light field camera provides a robust way to capture both spatial and angular information within a single shot. One of its important applications is in 3D depth sensing, which can extract depth information from the acquired scene. However, conventional light field cameras suffer from shallow depth of field (DoF). Here, a vari-focal light field camera (VF-LFC) with an extended DoF is newly proposed for mid-range 3D depth sensing applications. As a main lens of the system, a vari-focal lens with four different focal lengths is adopted to extend the DoF up to ~15 m. The focal length of the micro-lens array (MLA) is optimized by considering the DoF both in the image plane and in the object plane for each focal length. By dividing measurement regions with each focal length, depth estimation with high reliability is available within the entire DoF. The proposed VF-LFC is evaluated by the disparity data extracted from images with different distances. Moreover, the depth measurement in an outdoor environment demonstrates that our VF-LFC could be applied in various fields such as delivery robots, autonomous vehicles, and remote sensing drones.

scholarly journals Single shot fringe pattern phase demodulation using Hilbert-Huang transform aided by the principal component analysis

2016 ◽  
Vol 24 (4) ◽  
pp. 4221 ◽  
Author(s):  
Maciej Trusiak ◽  
Łukasz Służewski ◽  
Krzysztof Patorski
Keyword(s):  
Principal Component Analysis ◽  
Fringe Pattern ◽  
Principal Component ◽  
Component Analysis ◽  
Single Shot ◽  
Hilbert Huang Transform ◽  
Phase Demodulation

Single-shot spatial frequency multiplex fringe pattern for phase unwrapping using deep learning

2020 ◽  
Author(s):  
Yixuan Li ◽  
Jiaming Qian ◽  
Shijie Feng ◽  
Qian Chen ◽  
Chao Zuo
Keyword(s):  
Deep Learning ◽  
Spatial Frequency ◽  
Fringe Pattern ◽  
Phase Unwrapping ◽  
Single Shot

Single-Shot Colored Speckle Pattern for High Accuracy Depth Sensing

2019 ◽  
Vol 19 (17) ◽  
pp. 7591-7597 ◽  
Author(s):  
Boxun Fu ◽  
Fu Li ◽  
Tianjiao Zhang ◽  
Jingsong Jiang ◽  
Quanlu Li ◽  
...  
Keyword(s):  
Speckle Pattern ◽  
High Accuracy ◽  
Single Shot ◽  
Depth Sensing

scholarly journals Compact single-shot metalens depth sensors inspired by eyes of jumping spiders

2019 ◽  
Vol 116 (46) ◽  
pp. 22959-22965 ◽  
Author(s):  
Qi Guo ◽  
Zhujun Shi ◽  
Yao-Wei Huang ◽  
Emma Alexander ◽  
Cheng-Wei Qiu ◽  
...  
Keyword(s):  
Depth Perception ◽  
Incident Light ◽  
Floating Point ◽  
Single Shot ◽  
Efficient Computation ◽  
Depth Sensor ◽  
Depth Sensing ◽  
Multiple Images ◽  
Jumping Spiders ◽  
Depth Sensors

Jumping spiders (Salticidae) rely on accurate depth perception for predation and navigation. They accomplish depth perception, despite their tiny brains, by using specialized optics. Each principal eye includes a multitiered retina that simultaneously receives multiple images with different amounts of defocus, and from these images, distance is decoded with relatively little computation. We introduce a compact depth sensor that is inspired by the jumping spider. It combines metalens optics, which modifies the phase of incident light at a subwavelength scale, with efficient computations to measure depth from image defocus. Instead of using a multitiered retina to transduce multiple simultaneous images, the sensor uses a metalens to split the light that passes through an aperture and concurrently form 2 differently defocused images at distinct regions of a single planar photosensor. We demonstrate a system that deploys a 3-mm-diameter metalens to measure depth over a 10-cm distance range, using fewer than 700 floating point operations per output pixel. Compared with previous passive depth sensors, our metalens depth sensor is compact, single-shot, and requires a small amount of computation. This integration of nanophotonics and efficient computation brings artificial depth sensing closer to being feasible on millimeter-scale, microwatts platforms such as microrobots and microsensor networks.

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