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Automatic surface reconstruction from point sets in space

computer graphics FORUM 2000年第3期19卷 C457-C465页

作者： Attene, M Spagnuolo, M CNR Ist Matemat Appl I-16132 Genoa Italy

In this paper an algorithm is proposed that takes as input a generic set of unorganized points, sampled on a real object, and returns a closed interpolating surface. Specifically, this method generates a closed 2-manifold surface made of triangular faces, without limitations on the shape or genus of the original solid. The reconstruction method is based on generation of the Delaunay tetrahedralization of the point set, followed by a sculpturing process constrained to particular criteria. The main applications of this tool are in medical analysis and in reverse engineering areas. It is possible, for example, to reconstruct anatomical parts starting from surveys based on TACs or magnetic resonance.

关键词： ALGORITHMS TETRAHEDRA DIGITAL image processing TOPOLOGY

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Automatic generation of virtual woodblocks and multicolor woodblock printing

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computer graphics FORUM 2000年第3期19卷 C51-+页

作者： Mizuno, S Kasaura, T Okouchi, T Yamamoto, S Okada, M Toriwaki, J Toyohashi Univ Technol Toyohashi Aichi Japan Sony Corp Tokyo Japan Chubu Univ Kasugai Aichi 487 Japan Nagoya Univ Nagoya Aichi Japan

In this paper we study a method to synthesize a multicolor virtual woodblock print by using several virtual woodblocks. It consists of two sections: canting and printing, to synthesize a virtual print. In the carving section, virtual woodblocks are generated by a user with supporting of an automatically carving method based on feature extraction of a gray value image. And woodblocks are also generated automatically by using a full-color image as a draft. In the printing section, a "paper sheet", a "printing brush " and "ink" are prepared in addition to the "woodblock " in the virtual space and the user synthesizes a woodblock print interactively. As the printing factors, a color of ink, a moisture value and a grain change the finish of the print. Using several virtual woodblocks and printing to a paper sheet in succession, a printing image of each woodblock is combined based on the printing factors and a multicolor virtual prints is synthesized.

关键词： DIGITAL image processing computer graphics computer simulation PRINTING

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Proposal for multiple methods of active net model

Proposal for multiple methods of active net model

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International symposium on Communications and Information Technologies (ISCIT 2004)

作者： Noda, H Sumi, Y Yabuki, N Matumae, S Fukumoto, Y Ueda, T Fukui, Y Tottori Univ Environm Studies Dept Informat Syst Tottori 6891111 Japan

ISBN: (纸本)0780385934

In this paper we propose a new method for Active Net model. Active Net is a lattice network model that is based on minimizing energy to extract the region of a target object. In a conventional method, only one target is detected by one net. Therefore, assuming that the image can be divided into some parts, the proposed method uses many nets and applies them to each divided image. Some simulation results are presented obtained by applying proposed method to images. In the proposed method, since the size of a net became small, processing time to one net can be shortened Furthermore, since the distance between lattice points is short in initial net, the target at the end of an image became detectable. That is, it means that the target detection performance has improved.

关键词： computer networks

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Vector recalculation as a step to an automated generalisation process of imagery data

Vector recalculation as a step to an automated generalisatio...

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IGARSS'88 - Remote Sensing: Moving towards the 21st Century

作者： Roose, H. Catholic Univ of Leuven Leuven Belg

The author describes an easy-to-use algorithm to translate rastered information into a data set of vectors, using a nonmodified personal computer. Using this data set, automated generalization techniques were developed to reduce the large amount of time needed to edit interactively this kind of data. An attempt was also made to realize automated editing of lines, removal of gaps and nonexistant connections, pattern detection, and interpretation.

关键词： image processing

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Floating points: A method for computing stipple drawings

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computer graphics FORUM 2000年第3期19卷 C41-C50页

作者： Deussen, O Hiller, S van Overveld, C strothotte, T Univ Magdeburg Fac Comp Sci D-39106 Magdeburg Germany Eindhoven Univ Technol Dept Math & Comp Sci NL-5600 MB Eindhoven Netherlands

We present a method for computer generated pen-and-ink illustrations by the simulation of stippling. In a stipple drawing, dots are used to represent tone and also material of surfaces. We create such drawings by generating an initial dot set which is then processed by a relaxation method based on Voronoi diagrams. The point patterns generated are approximations of Poisson disc distributions and can also be used for integrating functions or the positioning of objects. We provide an editor similar to paint systems for interactively creating stipple drawings. This makes it possible to create such drawings within a matter of hours, instead of days or even weeks when the drawing is done manually.

关键词： computer drawing computer simulation stipple engraving image processing

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ARIA APP | LITTLEONE EDITION, AN ALL-IN-ONE APPLICATION FOR processing MEDICAL imageS AND DEVELOPING U-NET MODELS 21

ARIA APP | LITTLEONE EDITION, AN ALL-IN-ONE APPLICATION FOR ...

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21st IEEE International symposium on Biomedical Imaging (ISBI)

作者： Rez, Ntaniel Asvestas, Pantelis Univ West Attica Dept Biomed Engn Athens Greece

ISBN: (纸本)9798350313345;9798350313338

The efficient segmentation of regions of interest is a crucial step for various medical applications, as it is widely used for monitoring disease progression and evaluating various conditions. However, the traditional manual segmentation by trained experts is a time consuming and repetitive process. Various approaches have been proposed in recent years such as and not limited to the use of neural networks and deep learning. Inspired by the achievements of artificial intelligence in demanding computer vision tasks we present the Aria App vertical bar LittleOne edition, featuring a GUI where image processing, network development and evaluation can be conducted. In this paper, we attempt to address the challenge of identifying retinal vessels in fundus images which is accomplished using the U-Net network. Experimental results conducted within the app on the DRIVE dataset demonstrate comparable performance to recent research with a 94.9% accuracy, 93.2% sensitivity, 95.1% specificity and 94.20% AUC in the total.

关键词： Retinal vessel Segmentation U-net Aria App GUI interactive

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Autonomous Scanning of structural Elements in Buildings 1

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21st Iberoamerican Congress on Pattern Recognition (CIARP)

作者： Quintana, B. Prieto, S. A. Adan, A. Vazquez, A. S. Univ Castilla La Mancha Visual Comp & Robot Lab 3D Ciudad Real Spain

ISBN: (数字)9783319522777

ISBN: (纸本)9783319522777;9783319522760

This paper presents a method for automatic scanning of structural elements in indoors. Whereas most of the next-best-scan (NBS) based methods do not separate clutter and useful data, we present a scanning strategy in which potential structural components (SE) of the building are recognized as a new scan is carried out. This makes our method more efficient and less time consuming compared with the rest. Besides, our approach gives a response to essential issues in the scanning world, such as the data discrimination, the hypotheses about the workspace and the complexity of the scanned scene. The method has been tested in indoors under occlusion and clutter yielding promising results. Additionally, a comparison with three techniques close to ours is included in the paper.

关键词： 3D sensing 3D data processing Next best view 3D modeling

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BIOINTEL: Real-Time Bacteria Identification Using Microscopy Imaging 21

BIOINTEL: Real-Time Bacteria Identification Using Microscopy...

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21st IEEE International symposium on Biomedical Imaging (ISBI)

作者： Ramesh, Hariharan Elshinawy, Abdelrahman Ahmed, Ahmed Kassoumeh, Mohammed Adnan Khan, Muhammad Mounsef, Jinane Rochester Inst Technol Dept Elect Engn Dubai U Arab Emirates

ISBN: (纸本)9798350313345;9798350313338

In this paper, we present a novel approach to bacteria type prediction using advanced machine learning (ML) techniques, focusing on five common bacterial strains in natural environments. Unlike traditional methods that are labor-intensive and time-consuming, our solution employs state-of-the-art convolutional neural networks (CNNs), including VGG16, ResNet50, ResNet100, Inception v3, Lenet5, EfficientNet, and ConvNeXt, for rapid and accurate bacteria identification from images. We detail our methodology for image processing and model training, showcasing how these models achieve up to 99% accuracy. Our evaluation includes comprehensive testing on a highly diverse bacterial dataset, and comparisons with existing methods, emphasizing the improvements in accuracy. Additionally, we discuss the potential integration of this technology into a user-friendly device, attachable to standard smartphones, for realtime bacterial detection and reporting. This work demonstrates a significant advancement in applying computer vision for realtime image analysis in complex biological samples.

关键词： computer vision microscopy imaging bacteria detection real-time identification automated diagnosis

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A Method to Improve the Precision of 2-Dimensioanl Size Measurement of Objects through image processing

A Method to Improve the Precision of 2-Dimensioanl Size Meas...

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International symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES)

作者： Erbing Yang Meiqing Wang Hang Cheng Rong Liu Fei Chen College of Mathematics and Statistics Fuzhou University Fuzhou China College of Computer Science and Big Data Fuzhou University Fuzhou China

ISBN: (纸本)9781665454636

Aiming at the problem of two-dimensional size measurement of objects, in this paper, an image-based measurement model with a reference object is first proposed. The bounding boxes of the target objects and the reference are obtained through image processing technology which give the lengths of edges in pixel of objects. The reference object with known length of the edge is used to calculate the pixel unit, the actual size of a pixel and then the size of the target objects are obtained accordingly. Further, a correction model with four small reference objects is proposed to improve the measurement precision. The experimental results show the validity of the proposed models.

关键词： graphics Geometry image processing image edge detection Computational modeling Size measurement Calibration

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Hardware acceleration of terrain visualization using ef-buffers

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21st International symposium on computer and Information Sciences (ISCIS 2006)

作者： Chang, Hyun-Duk Shin, Byeong-Seok Inha Univ Dept Comp Sci & Informat Engn 253 Yonghyeon Dong Inchon 402751 South Korea

ISBN: (纸本)3540472428

Quadtree-based terrain visualization methods have been used in a lot of applications. However, because most procedures are performed on the CPU, the rendering speed is slow. In this paper, we present a quadtree-based terrain visualization method working on the GPU with specially designed data structure, the error-buffer and flag-buffer named ef-buffers. In pre-processing step, error metrics are computed in world space and the error metrics are transferred to the error-buffer. In rendering time, LOD selection and view-frustum culling are processed by evaluating the error metrics. The result is stored into the flag-buffer. To remove cracks or T-junction, the flag-buffer is refined. Then triangulation is performed using the flag-buffer. This method reduces CPU load and performs time consuming jobs such as LOD selection and view-frustum culling on the GPU. We can conclude that our method much faster than CPU-based rendering method without loss of image quality.

关键词： computer hardware

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