scholarly journals The Use of Digital Image Art under Visual Sensing Technology for Art Education

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wenli Mao ◽  
Bingyu Zhang
Keyword(s):  
Visual Perception ◽  
Art Education ◽  
Light Source ◽  
Digital Image ◽  
Color Correction ◽  
Correction Algorithm ◽  
Object Surface ◽  
Vision Sensing ◽  
Visual Sensing ◽  
Sensing Technology

The traditional art education model often cannot achieve good teaching results due to the development of digital technology. Art is integrated with technology based on three-dimensional (3D) panoramic vision sensing technology, so as to study the application of the combination of visual sensing technology and digital image art in the field of art education. With the application of projection virtual game “Whac-A-Mole” as an example, the integration of panoramic color volume structured light generation technology with single emission point and omnidirectional visual imaging technology with single view is proposed; the mathematical model of the active vision system is established, and the camera model, projector model, object surface illumination model, and their relationship are studied. On this basis, the mathematical relationship between the color of the projected light source and the color of the corresponding imaging point is proposed; a light source color correction algorithm based on the two-color reflection model is proposed. The object surface color is corrected by three-channel reflectance after the light source color correction algorithm is used for correction. The results suggest that the 3D panoramic vision sensing technology makes the current active stereo vision develop from the visual perception of surface structure to the visual perception of volume structure and reduces the error rate of recognition from 44% to 11%. Moreover, the algorithm does not need to know the coding method of the projected light source and the surface material of the object in advance. The scene teaching combined with technology overcomes the limitations of the teaching site and brings students into a completely realistic teaching situation. The presentation of digital image art using visual sensing technology can inspire children’s imagination, combine education and games, and perform edutainment. Thereby, the application research of digital image art based on 3D panoramic visual sensing technology has an irreplaceable development prospect in the field of art education.

scholarly journals Research on the Application of Visual Sensing Technology in Art Education

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Wenli Mao ◽  
Bingyu Zhang
Keyword(s):  
Image Reconstruction ◽  
Art Education ◽  
Digital Image ◽  
Visual Communication ◽  
3D Image ◽  
Reconstruction Accuracy ◽  
Visual Sensing ◽  
3D Image Reconstruction ◽  
Image Layer ◽  
Sensing Technology

It is essential to have a new understanding of the development of visual sensing technology in digital image art at this stage, in order to make traditional art education have new professional ability teaching. Based on the current research results in related fields, a three-dimensional (3D) image visual communication system based on digital image automatic reconstruction is proposed with two schemes as the premise. In scheme 1, the hardware part is divided into two modules. The hardware used by the analysis of the 3D image layer module is the HUJ-23 3D image processor. The acquisition of a 3D image layer module uses the hardware of a realistic infrared camera. The software of the system consists of two parts: a 3D image computer expression module and a 3D image reconstruction module. A simulation platform is established. The test data of 3D image reconstruction accuracy and visual communication integrity of the designed system show that both of them show a good trend. In scheme 2, regarding digital image processing, the 3D image visual perception reconstruction is affected by the modeling conditions, and some images are incomplete and damaged. The depth camera and image processor that can be used in the visual communication technology are selected, and their internal parameters are modified to borrow them in the original system hardware. Gaussian filtering model combined with scale-invariant feature transform (SIFT) feature point extraction algorithm is adopted to select image feature points. Previous system reconstruction technology is used to upgrade the 3D digital image, and the feature point detection equation is adopted to detect the accuracy of the upgraded results. Based on the above hardware and software research, the 3D digital image system based on visual communication is successfully upgraded. The test platform is established, and the test samples are selected. Unlike the previous systems, the 3D image reconstruction accuracy of the designed visual communication system can be as high as 98%; the upgraded system has better image integrity and stronger performance than the previous systems and achieves higher visual sensing technology. In art education, it can provide a new content perspective for digital image art teaching.

A Correction Algorithm of Multi-View Image System

2014 ◽  
Vol 631-632 ◽  
pp. 395-398
Author(s):  
Xin Yang Wang ◽  
Huan Xia Feng ◽  
Jian Zhang
Keyword(s):  
Light Source ◽  
Color Constancy ◽  
Histogram Equalization ◽  
Experimental Results ◽  
Image Correction ◽  
Correction Algorithm ◽  
Intrinsic Properties ◽  
Image System ◽  
Correction Effect ◽  
Color Restoration

This paper, based on the Retinex Color Constancy Theory, proposes a novel multi-view image correction algorithm, which correction effect is very effective. Histogram equalization,retinex processing and color restoration are performed for multi-view images,and extract reflectance which describe object intrinsic properties to eliminate un-consistent light source influence.The experimental results show that corrected images not only have high color contract,also have consistent color appearance with others.

Novel low-cost vision-sensing technology with controllable of exposal time for welding

2005 ◽  
Author(s):  
Wenzeng Zhang ◽  
Bin Wang ◽  
Nian Chen ◽  
Yipeng Cao
Keyword(s):  
Low Cost ◽  
Vision Sensing ◽  
Sensing Technology

Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology

2021 ◽  
Author(s):  
Yujie Yan ◽  
Jerome F. Hajjar
Keyword(s):  
Finite Element ◽  
Damage Assessment ◽  
Laser Scanning ◽  
Sensor Data ◽  
Structural Elements ◽  
Visual Sensor ◽  
Bridge Inspection ◽  
Visual Sensing ◽  
Sensing Technology ◽  
Laser Scanners

Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-consuming and expensive. The main objective of this study is to develop methods and algorithms to automate the post-processing of the visual sensor data towards the extraction of three main categories of information: 1) object information such as object identity, shapes, and spatial relationships - a novel heuristic-based method is proposed to automate the detection and recognition of main structural elements of steel girder bridges in both terrestrial and unmanned aerial vehicle (UAV)-based laser scanning data. Domain knowledge on the geometric and topological constraints of the structural elements is modeled and utilized as heuristics to guide the search as well as to reject erroneous detection results. 2) structural damage information, such as damage locations and quantities - to support the assessment of damage associated with small deformations, an advanced crack assessment method is proposed to enable automated detection and quantification of concrete cracks in critical structural elements based on UAV-based visual sensor data. In terms of damage associated with large deformations, based on the surface normal-based method proposed in Guldur et al. (2014), a new algorithm is developed to enhance the robustness of damage assessment for structural elements with curved surfaces. 3) three-dimensional volumetric models - the object information extracted from the laser scanning data is exploited to create a complete geometric representation for each structural element. In addition, mesh generation algorithms are developed to automatically convert the geometric representations into conformal all-hexahedron finite element meshes, which can be finally assembled to create a finite element model of the entire bridge. To validate the effectiveness of the developed methods and algorithms, several field data collections have been conducted to collect both the visual sensor data and the physical measurements from experimental specimens and in-service bridges. The data were collected using both terrestrial laser scanners combined with images, and laser scanners and cameras mounted to unmanned aerial vehicles.

An Improved Unsupervised Color Correction Algorithm for Underwater Image

2021 ◽  
Author(s):  
Xudong Wang ◽  
Jingya Yang ◽  
Pei Ruan ◽  
Peizhen Wang
Keyword(s):  
Color Correction ◽  
Correction Algorithm ◽  
Underwater Image

Visual Sensing System for Thin Plate Welding Based on Rotund Facular Laser

2012 ◽  
Vol 538-541 ◽  
pp. 1498-1501
Author(s):  
Wang Ping Gu ◽  
Zhen Yu Xiong ◽  
Pin Liu
Keyword(s):  
Thin Plate ◽  
Visual Image ◽  
Sensor System ◽  
Vision Sensor ◽  
Butt Welding ◽  
Vision Sensing ◽  
Sensing System ◽  
Visual Sensing ◽  
Processing Software ◽  
Image Processing Software

In order to solve the problem of thin plate butt-welded tracking, a welding vision sensing system with a rotund facular laser has been designed. In the vision sense system, each parameter of the interior part has been designed by a variety of experiments. The designed image processing software can precisely identify the position of the joint, based on the optimal designed vision sensor system. The thin plate butt welding experiments have been taken with the designed sensing device. The experimental results show that the vision sensor system with a suitable auxiliary illuminant can obtain satisfying visual image information in stainless thin plate butt-welded.

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