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检索条件"任意字段=3rd International Conference on Computer Vision and Image Processing, CVIP 2018"

共 1646 条记录，以下是301-310 订阅

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Proceedings - COMPSAC 1979: The IEEE computer Society''s 3rd international computer Software and Applications conference

Proceedings - COMPSAC 1979: The IEEE Computer Society''s 3rd...

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3rd IEEE international computer Software and Applications conference, COMPSAC 1979

The proceedings contain 153 papers. The topics discussed include: software development: a failure and a success;an analysis of the performance of a software development methodology;effective computer program development and use;a methodology for the development of reliable synchronization software;a relational DBMS conforming to an architecture which incorporates a physical navigation language;task driven image understanding: lisp programming for vision research;some new algorithms and software implementation methods for pattern research recognition;statistical image processing and recognition;reflection on the implementation of a software design;functional multiprocessing in an experimental digital switching office;and a microprocessor line concentration system.

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Feature extraction using histogram of oriented gradient and hu invariant moment for face recognition 3

Feature extraction using histogram of oriented gradient and ...

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3rd international conference on Informatics and Computing, ICIC 2018

作者： Wibowo, Eri Prasetyo Harseno, Sandi Agung Harahap, Robby Kurniawan Information Technology Gunadarma University Depok Indonesia Management Information System Gunadarma University Depok Indonesia Computer Engineering Gunadarma University Depok Indonesia

ISBN: (纸本)9781538669204

Face recognition was one of many popular fields in image processing and computer vision. Face recognition had many problems like the pose variation, Illumination, image Quality, etc. Many methods were developed to find the solution to this problem. Some method uses Approach that uses the whole face as features, while other method uses Features-Based Approach that uses Local Feature like Eyes, Nose, and Mouth as features. The proposed method to combine two methods: HOG and Hu Invariant moment. Two methods as feature extraction has been implemented with tested on 3 database: Markus's, ORL/ATT and our database. This database was tested with three scenarios testing. Finally, the proposed method result on Recognition Rate average is 79.82 %, then the best Recognition Rate result is 97.22 %. © 2018 IEEE.

关键词： Face recognition

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Binary morphology and related operations on run-length representations

Binary morphology and related operations on run-length repre...

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3rd international conference on computer vision Theory and Applications

作者： Breuel, Thomas M. DFKI Kaiserslautern Germany

ISBN: (纸本)9789898111210

Binary morphology on large images is compute intensive, in particular for large structuring elements. Run-length encoding is a compact and space-saving technique for representing images. This paper describes how to implement binary morphology directly on run-length encoded binary images for rectangular structuring elements. In addition, it describes efficient algorithm for transposing and rotating run-length encoded images. The paper evaluates and compares run length morphologial processing on page images from the UW3 database with an efficient and mature bit blit-based implementation and shows that the run length approach is several times faster than bit blit-based implementations for large images and masks. The experiments also show that complexity decreases for larger mask sizes. The paper also demonstrates running times on a simple morphology-based layout analysis algorithm on the UW3 database and shows that replacing bit blit morphology with run length based morphology speeds up performance approximately two-fold.

关键词： mathematical morphology binary image processing document image analysis layout analysis

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Hardware acceleration of BLOB detection for image processing

Hardware acceleration of BLOB detection for image processing

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3rd international conference on Advances in Circuits, Electronics and Micro-Electronics, CENICS 2010

作者： Bochem, Alexander Herpers, Rainer Kent, Kenneth B. Faculty of Computer Science University of Applied Sciences Bonn-Rhein-Sieg Sankt Augustin Germany Faculty of Computer Science University of New Brunswick Fredericton Canada

ISBN: (纸本)9780769540894

This paper presents the implementation and evaluation of a computer vision task on a Field Programmable Gate Array (FPGA). As an experimental approach for an application-specific image-processing problem, it provides results about gained performance and precision compared with similar solutions on General Purpose Processor (GPP) architectures. The problem of detecting Binary Large OBjects (BLOBs) in a continuous video stream and computation of their center points has been addressed. Most existing solutions are realized on GPP platforms, where resolution of image material and sequential processing define the performance barrier. FPGA based approaches perform implemented algorithms as fast as hardware circuits and in addition offer parallelization abilities. The evaluation compares precision and performance gain against similar approaches on GPP platforms. The paper discusses different concepts for BLOB detection and shows the implementation of one common method for BLOB detection, including design problems and performance evaluation. © 2010 IEEE.

关键词： Object detection

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Background segmentation in microscopy images

Background segmentation in microscopy images

引用

3rd international conference on computer vision Theory and Applications

作者： Charles, J. J. Kuncheva, L. I. Wells, B. Lim, I. S. Univ Wales Sch Comp Sci Bangor LL57 1UT Gwynedd Wales

ISBN: (纸本)9789898111210

In many applications it is necessary to segment the foreground of an image from the background. However images from microscope slides illuminated using transmitted light have uneven background light levels. The non-uniform illumination makes segmentation difficult. We propose to fit a set of parabolas in order to segment the image into background and foreground. Parabolas are fitted separately on horizontal and vertical stripes of the grey level intensity image. A pixel is labelled as background or foreground based on the two corresponding parabolas. The proposed method outperforms the following four standard segmentation techniques, (1) thresholding determined manually or by fitting a mixture of Gaussians, (2) clustering in the RGB space, (3) fitting a two-argument quadratic function on the whole image and (4) using the morphological closure method.

关键词： image processing image analysis segmentation background removal microscope vignetting microfossils kerogen palynofacies palynomorphs

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A Review of Intrinsic image Decomposition 3

A Review of Intrinsic Image Decomposition

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3rd international conference on image processing and Media Computing (ICIPMC)

作者： Liu, Siyuan Jiang, Xiaoyue Liu, Letian Xia, Zhaoqiang Dang, Sihang Feng, Xiaoyi Northwestern Polytech Univ Sch Elect & Informat Xian Peoples R China

ISBN: (纸本)9798350386660;9798350386677

Intrinsic image decomposition (IID) aims to extract intrinsic components from natural images, namely shading and reflectance, which is widely applied in computer vision and image processing tasks for the better understanding of the objects and scenes. However, IID is a severely ill-posed problem, extra constraints should be applied to address the decomposition problem. In this paper, we reviewed recent papers about intrinsic image decomposition. The extra cues from lighting, shape, color and textures are used to constrain the ill-posed problem. These papers can be mainly classified into two categories: physics-based methods and learning-based methods. Physics-based methods mainly introduced extra constraints into an optimization framework to solve the IID problem. While learning-based methods mainly depend on an encoder-decoder network with the explicit constraint from the labeled intrinsic images. Additionally, extra priors are introduced into the network by the form of network structure or specific feature. In order to make the IID problem more practical, researchers may explore how to achieve fast and accurate image decomposition with lower computing resources through optimization algorithms and model design.

关键词： Intrinsic image decomposition shading reflectance color texture

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Research on 3D Reconstruction in Binocular Stereo vision Based on Feature Point Matching Method 3

Research on 3D Reconstruction in Binocular Stereo Vision Bas...

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3rd IEEE international conference on Information Systems and computer Aided Education, ICISCAE 2020

作者： Lin, Xiaobin Wang, Jianxing Lin, Chen Minjiang University Dept. of Physics and Electronic Information Engineering Fuzhou China

ISBN: (纸本)9781728183039

computer vision as an important branch of computer science and artificial intelligence has made rapid progress in the past thirty years. Binocular stereo vision is one of the most important parts in computer vision. Binocular stereo vision can well simulate human eyes stereoscopic perception of three-dimensional objects, and has been widely used in various fields of industrial automation production and practical life. Binocular stereo vision technology is a comprehensive technology, whose knowledge includes optics, physics, image processing, computer, artificial intelligence and electronic technology, and other fields of content. Camera calibration and feature point matching are difficult and key points in binocular stereo vision technology. In this paper, the 3D reconstruction of binocular stereo vision based on feature point matching method is discussed. The main research includes the following contents: binocular stereo vision system principle, feature matching algorithm research and 3D reconstruction system implementation. This project puts forward a set of feasible algorithms and finally can get a good three-dimensional reconstruction effect based on the analysis and research of a series of algorithms. © 2020 IEEE.

关键词： Binocular vision

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Adaptive Clustering SOFC image Segmentation Based on Particle Swarm Optimization 3

Adaptive Clustering SOFC Image Segmentation Based on Particl...

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3rd international conference on Machine vision and Information Technology (CMVIT)

作者： Yang, Xuefei Fu, Xiaowei Li, Xi Wuhan Univ Sci & Technol Coll Comp Sci & Technol Key Lab Intelligent Informat Proc & Real Time Ind Wuhan 430065 Hubei Peoples R China Huazhong Univ Sci & Technol State Key Lab Mat Proc & Die & Mould Technol Wuhan 430074 Hubei Peoples R China Huazhong Univ Sci & Technol Coll Automat Wuhan 430074 Hubei Peoples R China

Microstructural parameters are important for analyzing the chemistry and performance of solid oxide fuel cells (SOFCs). Aiming at the YSZ / Ni anode optical microscopy (OM) image of SOFC, in this paper, particle swarm intelligent optimization algorithm is used to improve the fuzzy C-means clustering algorithm for image segmentation. Particle swarm optimization is used to adaptively search the initial clustering center, helping to avoid local optimization and preserve more image detail. The experimental results show that the proposed method can improve the segmentation accuracy of images. At the same time, it can accurately segment the SOFC three-phase and provide effective image segmentation results for the microstructure parameters.

关键词： image segmentation

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Digital Modeling and Display of Ancient Architecture Based on Multi-Station Laser Scanning 3

Digital Modeling and Display of Ancient Architecture Based o...

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3rd international conference on computer Graphics and Digital image processing (CGDIP)

作者： Li, Xiaoyan Li, Guo Li, Pengyi Li, Jun Hu, Tao Li, Meng Yu, Ya Hubei Univ Nationalities Coll Informat Engn Enshi 445000 Peoples R China

In order to better display and protect ancient Chinese architecture, a three-dimensional model reconstruction method based on multi-station laser scanning is proposed. This method mainly includes several steps, such as point cloud data collection, preconditioning, multi-site cloud data fusion, point cloud data compression, 3D model reconstruction and texture mapping, environment rendering, video processing, and 3D roaming. According to the requirement of video rendering and virtual roaming, we focus on cloud processing, 3D modeling and 3D model display in this paper. Experimental results show that an famous building named Enshi Dong Drum Tower is well digitally reconstructed, so as to result in ethnic characteristics and cultural heritage protection in practical application.

关键词： 3D modeling

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An Dynamic Adaptive Slicing Algorithm Based on Improved Greedy Algorithm 3

An Dynamic Adaptive Slicing Algorithm Based on Improved Gree...

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3rd international conference on computer vision, image and Deep Learning and international conference on computer Engineering and Applications, CVIDL and ICCEA 2022

作者： Tang, Zhihua Chen, Guohua Han, Yulin Zhu, Yurun Beijing University of Chemical Technology Beijing China

ISBN: (纸本)9781665459112

Additive manufacturing technology is an important manufacturing technology, and 3D printing is one of the most important additive manufacturing technologies. Compared with the traditional manufacturing mode, the 3D printing technique has strong flexibility and avoids complex processing technology, which can improve production efficiency. Slicing the 3D model is an important step before 3D printing, this step is directly related to the printing accuracy. There will be a staircase effect between the Adjacent sliced layers, which will weaken the surface quality of the printing model. At the same time, the 3D printing process is generally time-consuming and restricts manufacturing efficiency. Based on an improved greedy algorithm method, a dynamic programming algorithm is proposed in this article, which considers the influence of printing accuracy and printing time. After verification, the algorithm in this paper can significantly reduce the staircase effect where the model surface profile changes rapidly, and save printing time to a certain extent. © 2022 IEEE.

关键词： 3D printers

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