International Workshop on Frontiers of Graphics and Image Processing最新文献

Fast image quantization with efficient color clustering 快速图像量化与有效的颜色聚类

International Workshop on Frontiers of Graphics and Image Processing Pub Date : 2023-05-03 DOI: 10.1117/12.2668985

Yingying Liu

{"title":"Fast image quantization with efficient color clustering","authors":"Yingying Liu","doi":"10.1117/12.2668985","DOIUrl":"https://doi.org/10.1117/12.2668985","url":null,"abstract":"Color image quantization has been widely used as an important task in graphics manipulation and image processing. The key to color image quantization is to generate an efficient color palette. At present, there are many color image quantization methods that have been presented, which are fundamentally clustering-based algorithms. As an illustration, the K-means clustering algorithm is quite popular. However, the K-means algorithm has not been given sufficient focus in the field of color quantization due to its high computational effort caused by multiple iterations and its very susceptibility to initialization. This paper presented an efficient color clustering method to implement fast color quantization. This method mainly addresses the drawbacks of the conventional K-means clustering algorithm, which involves reducing the data samples and making use of triangular inequalities to accelerate the nearest neighbor search. The method mainly contains two stages. During the first phase, an initial palette is generated. In the second phase, quantized images are generated by a modified K-means method. Major modifications include data sampling and mean sorting, avoiding traversal of all cluster centers, and speeding up the time to search the palette. The experimental results illustrate that this presented method is quite competitive with previously presented color quantization algorithms both in the matter of efficiency and effectiveness.","PeriodicalId":236099,"journal":{"name":"International Workshop on Frontiers of Graphics and Image Processing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129494544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance optimization of target detection based on edge-to-cloud deep learning 基于边缘到云深度学习的目标检测性能优化

International Workshop on Frontiers of Graphics and Image Processing Pub Date : 2023-05-03 DOI: 10.1117/12.2668891

Zhongkui Fan, Yepeng Guan

引用次数: 0

Design of parking lot vehicle entry system based on human image recognition analysis technology 基于人体图像识别分析技术的停车场车辆进入系统设计

International Workshop on Frontiers of Graphics and Image Processing Pub Date : 2023-05-03 DOI: 10.1117/12.2669161

Liang Zhu, Junhong Xi

{"title":"Design of parking lot vehicle entry system based on human image recognition analysis technology","authors":"Liang Zhu, Junhong Xi","doi":"10.1117/12.2669161","DOIUrl":"https://doi.org/10.1117/12.2669161","url":null,"abstract":"Due to the increasing number of private cars, traffic management departments are paying more and more attention to vehicle traffic problems. In the daily management, video image is often the most intuitive, effective and fast way to obtain information resources. In the actual parking lot, vehicle access management is a very complex and difficult job. As most of the parking lots are scanned manually to complete the task of entering and leaving the parking lot. In order to solve this problem, this paper is based on the human image recognition analysis technology to realize the effective and fast recording of incoming and outgoing personnel and vehicle information of the parking lot vehicle entry system, so that these information can be statistically analyzed and the corresponding processing plan can be made quickly when there is an unexpected situation, and at the same time can improve the road traffic efficiency and safety performance, and also provide a simple and fast, easy to operate work for the relevant staff. It also provides a simple, fast and easy to operate method for the relevant staff, which has certain practical value.","PeriodicalId":236099,"journal":{"name":"International Workshop on Frontiers of Graphics and Image Processing","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116096286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RVFIT: Real-time Video Frame Interpolation Transformer RVFIT:实时视频帧插值变压器

International Workshop on Frontiers of Graphics and Image Processing Pub Date : 2023-05-03 DOI: 10.1117/12.2669055

Linlin Ou, Yuanping Chen

{"title":"RVFIT: Real-time Video Frame Interpolation Transformer","authors":"Linlin Ou, Yuanping Chen","doi":"10.1117/12.2669055","DOIUrl":"https://doi.org/10.1117/12.2669055","url":null,"abstract":"Video frame interpolation (VFI), which aims to synthesize predictive frames from bidirectional historical references, has made remarkable progress with the development of deep convolutional neural networks (CNNs) over the past years. Existing CNNs generally face challenges in handing large motions due to the locality of convolution operations, resulting in a slow inference structure. We introduce a Real-time video frame interpolation transformer (RVFIT), a novel framework to overcome this limitation. Unlike traditional methods based on CNNs, this paper does not process video frames separately with different network modules in the spatial domain but batches adjacent frames through a single UNet-style structure end-to-end Transformer network architecture. Moreover, this paper creatively sets up two-stage interpolation sampling before and after the end-to-end network to maximize the performance of the traditional CV algorithm. The experimental results show that compared with SOTA TMNet, RVFIT has only 50% of the network size (6.2M vs 12.3M, parameters) while ensuring comparable performance, and the speed is increased by 80% (26.1 fps vs 14.3 fps, frame size is 720*576).","PeriodicalId":236099,"journal":{"name":"International Workshop on Frontiers of Graphics and Image Processing","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133114220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Measuring the fine-structure constant on quasar spectra: High spectral resolution gains more than large size of moderate spectral resolution spectra 类星体光谱精细结构常数的测量:高光谱分辨率比大尺寸的中等光谱分辨率获得更多

International Workshop on Frontiers of Graphics and Image Processing Pub Date : 2023-05-03 DOI: 10.1117/12.2670012

Haoran Liang, Zhe Wu

{"title":"Measuring the fine-structure constant on quasar spectra: High spectral resolution gains more than large size of moderate spectral resolution spectra","authors":"Haoran Liang, Zhe Wu","doi":"10.1117/12.2670012","DOIUrl":"https://doi.org/10.1117/12.2670012","url":null,"abstract":"By analyzing the data from the Sloan Digital Sky Survey (SDSS) Data Release 16, which the spectra of the Quasars are major samples, we focus on the investigation of the possible variations of the fine structure constant on the cosmological temporal scales over the universe. We analyzed 14495 quasar samples (red shift z<1) constrained in the literature by using emission-line method on [OIII] doublet and obtained Δα/α=0.70±1.6×10-5. We investigated the precision limit for the measurement of fine-structure constant by SDSS spectrum analysis by designing the simulation about three main sources of systematics: Noise, Outflow of gas, and Skyline. In addition, we exerted cross-correlation analysis on a high-resolution spectrum from MagE (MagE Observations at the Magellan II Clay telescope) named “J131651.29+055646.9” and got the result Δα/α=-9.16±11.38×10-7. Better constraints (Skyline subtraction algorithm) may improve the precision slightly by using SDSS. The more possible and efficient method may be to constrain Δα/α with the spectra of high-resolution spectroscopy and large active galaxy/QSO surveys.","PeriodicalId":236099,"journal":{"name":"International Workshop on Frontiers of Graphics and Image Processing","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113998950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of digital pictures process technique in engineering surveying 数字图像处理技术在工程测量中的应用

International Workshop on Frontiers of Graphics and Image Processing Pub Date : 2023-05-03 DOI: 10.1117/12.2669154

Xiaowen Hu, Yeming Wang

{"title":"Application of digital pictures process technique in engineering surveying","authors":"Xiaowen Hu, Yeming Wang","doi":"10.1117/12.2669154","DOIUrl":"https://doi.org/10.1117/12.2669154","url":null,"abstract":"In order to avoid some errors in distance measurement, e.g. due to physical characteristics, environmental influences, human errors etc. during the measurement process, visual measurement and modern digital image related processing techniques are used. This requires the creation of relevant image acquisition systems and the detection of the edges of the acquired images using specialised procedures, on the basis of which the differences between the basic points of the image edges are brought into the measurement equation. The values obtained prove that the final results of this measurement method are consistent with the actual values, proving the accuracy of digital image correlation processing techniques in distance measurement. Digital image processing technology is a derivative of advanced manufacturing technology, and the rapid development of computer technology has led to the development of digital image recognition and image analysis capabilities. Engineering survey research is mainly applied in the process of engineering construction and engineering management, which can greatly reduce the error of engineering manufacturing and the period of engineering inspection. Based on digital image processing technology, this paper proposes an engineering displacement measurement method, an industrial part size measurement method and an industrial thread standard measurement method. Compared with the traditional manual measurement technology, the use of digital image technology can shorten the working period and improve the working efficiency.","PeriodicalId":236099,"journal":{"name":"International Workshop on Frontiers of Graphics and Image Processing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128851527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Offset correction scheme for human eye positioning in naked eye 3D for Android Android裸眼3D人眼定位偏移校正方案

International Workshop on Frontiers of Graphics and Image Processing Pub Date : 2023-05-03 DOI: 10.1117/12.2669407

Ke Wang, zonghai pan, Yuting Chen, Fei Li, C. Lan

引用次数: 0

Research on verification framework of image processing IP core based on real-time reconfiguration 基于实时重构的图像处理IP核验证框架研究

International Workshop on Frontiers of Graphics and Image Processing Pub Date : 2023-05-03 DOI: 10.1117/12.2669153

Wei Mo, Lu Zhao, Jianping Wen

引用次数: 0

A lightweight object grasping network using GhostNet 使用GhostNet的轻量级对象抓取网络

International Workshop on Frontiers of Graphics and Image Processing Pub Date : 2023-05-03 DOI: 10.1117/12.2669156

Yangfan Deng, Qinghua Guo, Yong Zhao, Junli Xu

引用次数: 0

SARCUT: Contrastive learning for optical-SAR image translation with self-attention and relativistic discrimination SARCUT:基于自注意和相对论辨别的光学sar图像翻译的对比学习

International Workshop on Frontiers of Graphics and Image Processing Pub Date : 2023-05-03 DOI: 10.1117/12.2669086

Yusen ZHANG, Min Li, Wei Cai, Yao Gou, Shuaibing Shi

引用次数: 0