Full-surface 3-D reconstruction based on surround structured lighting

Software package for testing three-dimensional shape measurement methods using structured lighting

Journal of Physics Conference Series ◽

10.1088/1742-6596/2057/1/012087 ◽

2021 ◽

Vol 2057 (1) ◽

pp. 012087

Author(s):

S V Dvoynishnikov ◽

V O Zuev ◽

I K Kabardin ◽

D V Kulikov ◽

V V Rahmanov

Keyword(s):

Software Package ◽

Three Dimensional ◽

Measurement Methods ◽

Shape Measurement ◽

Structured Lighting ◽

Lighting Conditions ◽

Ambient Lighting ◽

Dimensional Shape ◽

Shadow Maps ◽

Three Dimensional Shape

Abstract This work aims at creating a universal software package for the development and testing of triangulation methods using structured lighting for measuring the three-dimensional geometry of objects in difficult ambient lighting conditions. As a result, a software package meeting the stated requirements is created. Lighting is based on the Fong model. A method for preloading objects is implemented to optimize the operation of the software package. An accelerated method for creating shadow maps is proposed and implemented. The developed software package is shown to successfully perform all required functions.

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Using Structured Lighting and Shadow for Leaf Segmentation

10.13031/2013.24185 ◽

2007 ◽

Author(s):

Peter Neil Kennedy ◽

Scott D Noble

Keyword(s):

Structured Lighting ◽

Leaf Segmentation

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Underwater 2D Image Acquisition Using Sequential Striping Illumination

Applied Sciences ◽

10.3390/app9112179 ◽

2019 ◽

Vol 9 (11) ◽

pp. 2179

Author(s):

Benxing Gong ◽

Guoyu Wang

Keyword(s):

Image Acquisition ◽

Scattered Light ◽

Forward Scattering ◽

Image Recovery ◽

Underwater Imaging ◽

Scattering Problems ◽

Structured Lighting ◽

Underwater Image ◽

Scattering Effects ◽

Scanning Systems

Structured lighting techniques have increasingly been employed in underwater imaging, where scattering effects cannot be ignored. This paper presents an approach to underwater image recovery using structured light as a scanning mode. The method tackles both the forward scattering and back scattering problems. By integrating each of the sequentially striping illuminated frame images, we generate a synthesized image that can be modeled on the convolution of the surface albedo and the illumination function. Thus, image acquisition is issued as a problem of image recovery by deconvolution. The convolutional model has the advantage of integrating the forward scattering light into a recovered image so as to eliminate image blur. Notably, the removal of the back scattered light from each frame image can be easily realized by a virtual aperture to limit the field of view; the same principle as of the synchronous scanning systems in underwater imaging. Herein, the implementation of the proposed approach is described, and the results of the underwater experiments are presented.

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