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Analysis and Improvements of Fingerprint Enhancement From Gabor Iterative Filtering 31

Analysis and Improvements of Fingerprint Enhancement From Ga...

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31st Conference on graphics, Patterns and images (SIBGRAPI)

作者： Ramos, Ramon Andrezza, Igor Borges, Erick Brasileiro, Joao Gomes, Herman Batista, Leonardo Vsoft Tecnol Joao Pessoa Paraiba Brazil Univ Fed Campina Grande Campina Grande Paraiba Brazil Univ Fed Paraiba Joao Pessoa Paraiba Brazil

ISBN: (纸本)9781538692646

The quality of the input fingerprint has a big impact on the performance of the Automatic Fingerprint Identification System (AFIS). So, the fingerprint enhancement is an important and necessary step to refine the quality of images. Over the past few years, fingerprint enhancement approaches have been proposed to investigate and test technologies in an attempt to find improvements. One of the most common methods in the literature to achieve that is the convolution with Gabor filters. By using coherent parameters and successive iterations, it is possible to highlight clearly the lines present in the images. This paper analyzes and presents improvements in a renowned algorithm that uses a contextual iterative filtering. Experimental results show that the proposed upgrades developed in this research obtained gains of 21% over the baseline.

关键词： Training Frequency-domain analysis Feature extraction Fingerprint recognition Reliability image segmentation image enhancement

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Multimodal Human Action Recognition Based on a Fusion of Dynamic images using CNN descriptors 31

Multimodal Human Action Recognition Based on a Fusion of Dyn...

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31st Conference on graphics, Patterns and images (SIBGRAPI)

作者： Cardenas, Edwin Escobedo Chavez, Guillermo Camara Fed Univ Ouro Preto UFOP Dept Comp Sci DECOM Ouro Preto MG Brazil

ISBN: (纸本)9781538692646

In this paper, we propose the use of dynamicimages-based approach for action recognition. Specifically, we exploit the multimodal information recorded by a Kinect sensor (RGB-D and skeleton joint data). We combine several ideas from rank pooling and skeleton optical spectra to generate dynamic images to summarize an action sequence into single flow images. We group our dynamic images into five groups: a dynamic color group (DC);a dynamic depth group (DD) and three dynamic skeleton groups (DXY, DYZ, DXZ). As action is composed of different postures along time, we generated N different dynamic images with the main postures for each dynamic group. Next, we applied a pre-trained flow-CNN to extract spatiotemporal features with a max-mean aggregation. The proposed method was evaluated on a public benchmark dataset, the UTD-MHAD, and achieved the state-of-the-art result.

关键词： Skeleton Feature extraction Dynamics Spatiotemporal phenomena image color analysis Video sequences Robot sensing systems

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A Computationally Efficient Tracking Scheme for Localization of Soccer Players in an Aerial Video Sequence 3

A Computationally Efficient Tracking Scheme for Localization...

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3rd International symposium on computer Science and Intelligent Control, ISCSIC 2019

作者： Aoki, Risako Oki, Takuro Yokokawa, Hiro Miyamoto, Ryusuke Department of Computer Science Graduate School of Science and Technology Meiji University Japan

ISBN: (纸本)9781450376617

The authors attempted to construct a novel sensor networking system that estimates locations of sensor nodes as locations of humans wearing them via image processing. In this application, computationally efficient human localization is indispensable because the operation should be executed on embedded systems. To actualize human localization at a lower computational cost, this study proposes a novel tracking scheme using only detection results. Experimental results using the computer graphics (CG) dataset that was created using player locations of an actual soccer game showed that the proposed scheme outperformed existing schemes implemented in the OpenCV library. © 2019 ACM.

关键词： Location

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An Architecture for Collision Risk Prediction for Visually Impaired People 31

An Architecture for Collision Risk Prediction for Visually I...

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31st Conference on graphics, Patterns and images (SIBGRAPI)

作者： Cordeiro, Natal Henrique Pedrino, Emerson Carlos Fed Inst Sao Paulo Dept Comp Votuporanga SP Brazil Univ Fed Sao Carlos Dept Comp Sci Sao Carlos SP Brazil

ISBN: (纸本)9781538692646

The production of sensory substitution equipment for the visually impaired (VIP) is growing. The aim of this project is to understand the VIP context and predict the risks of collision for the VIP, following an analysis of the position, distance, size and motion of the objects present in their environment. This understanding is refined by data fusion steps applied to the Situation Awareness model to predict possible impacts in the near future. With this goal, a new architecture was designed, composed of systems that detect free passages, static objects, dynamic objects and the paths of these dynamic objects. The detected data was mapped into a 3D plane verifying positions and sizes. For the fusion, a method was developed that compared four more general classifiers in order to verify which presented greater reliability in the given context. These classifiers allowed inferences to be made when analyzing the risks of collision in different directions. The architecture designed for risk prediction is the main contribution of this project.

关键词： computer architecture Cameras Indoor environment Data integration Surface acoustic waves Radiofrequency identification

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An Efficient Event Detection Through Background Subtraction and Deep Convolutional Nets 23rd

An Efficient Event Detection Through Background Subtraction ...

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23rd International computer symposium, ICS 2018

作者： Muchtar, Kahlil Rahman, Faris Munggaran, Muhammad Rizky Juniarta Dwiyantoro, Alvin Prayuda Dharmadi, Richard Nugraha, Indra Chang, Chuan-Yu Nodeflux Jakarta Indonesia Department of Electrical and Computer Engineering Syiah Kuala University Banda AcehAceh Indonesia Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan

ISBN: (纸本)9789811391897

The smart transportation system is one of the most essential parts in a smart city roadmap. The smart transportation applications are equipped with CCTV to recognize a region of interest through automated object detection methods. Usually, such methods require high-complexity image classification techniques and advanced hardware specification. Therefore, the design of low-complexity automated object detection algorithms becomes an important topic in this area. A novel technique is proposed to detect a moving object from the surveillance videos based on CPU (central processing units). We use this method to determine the area of the moving object(s). Furthermore, the area will be processed through a deep convolutional nets-based image classification in GPU (graphics processing units) in order to ensure high efficiency and accuracy. It cannot only help to detect object rapidly and accurately, but also can reduce big data volume needed to be stored in smart transportation systems. © Springer Nature Singapore Pte Ltd. 2019.

关键词： image classification

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RISF: Recursive Iterative Spanning Forest for Superpixel Segmentation 31

RISF: Recursive Iterative Spanning Forest for Superpixel Seg...

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31st Conference on graphics, Patterns and images (SIBGRAPI)

作者： Galvao, Felipe L. Falcao, Alexandre X. Chowdhury, Ananda S. Univ Estadual Campinas Inst Comp Campinas SP Brazil Jadavpur Univ Dept Elect & Telecommun Engn Kolkata India

ISBN: (纸本)9781538692646

Methods for superpixel segmentation have become very popular in computer vision. Recently, a graph-based framework named ISF (Iterative Spanning Forest) was proposed to obtain connected superpixels (supervoxels in 3D) based on multiple executions of the image Foresting Transform (IFT) algorithm from a given choice of four components: a seed sampling strategy, an adjacency relation, a connectivity function, and a seed recomputation procedure. In this paper, we extend ISF to introduce a unique characteristic among superpixel segmentation methods. Using the new framework, termed as Recursive Iterative Spanning Forest (RISF), one can recursively generate multiple segmentation scales on region adjacency graphs (i.e., a hierarchy of superpixels) without sacrificing the efficiency and effectiveness of ISF. In addition to a hierarchical segmentation, RISF allows a more effective geodesic seed sampling strategy, with no negative impact in the efficiency of the method. For a fixed number of scales using 2D and 3D image datasets, we show that RISF can consistently outperform the most competitive ISF-based methods.

关键词： Forestry image segmentation Vegetation image color analysis Three-dimensional displays Transforms Two dimensional displays

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Hybrid Cloud Rendering System for Massive CAD Models 31

Hybrid Cloud Rendering System for Massive CAD Models

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31st Conference on graphics, Patterns and images (SIBGRAPI)

作者： Moreira, Andre Ivson, Paulo Celes, Waldemar Pontifical Catholic Univ Rio de Janeiro PUC Rio Tecgraf Inst Rio De Janeiro Brazil Pontifical Catholic Univ Rio de Janeiro PUC Rio Dept Comp Sci Rio De Janeiro Brazil

ISBN: (纸本)9781538692646

The recent advances in cloud services enable an increasing number of applications to offload their intensive tasks to remote computers. Cloud rendering comprises a set of services capable of rendering a 3D scene on a remote workstation. Notable progress in this field has been made by cloud gaming services. However, a gap remains between existing cloud rendering systems and other graphics-intensive applications, such as visualization of computer-Aided Design (CAD) models. Existing cloud gaming services are not suitable to efficiently render these particular 3D scenes. CAD models contain many more objects than a regular game scene, requiring specific assumptions and optimizations to deliver an interactive user experience. In this work, we discuss and propose a novel hybrid cloud rendering system for massive 3D CAD models of industrial plants. The obtained results show that our technique can achieve high frame rates with satisfactory image quality even in a constrained environment, such as a high latency network or obsolete computer hardware.

关键词： Rendering (computer graphics) Servers Solid modeling Delays Cloud computing Three-dimensional displays Computational modeling

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Asynchronous stroboscopic structured lighting image processing using low-cost cameras 31

Asynchronous stroboscopic structured lighting image processi...

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31st Conference on graphics, Patterns and images (SIBGRAPI)

作者： Borsato, Frank H. Morimoto, Carlos H. Univ Tecnol Fed Parana Curitiba Parana Brazil Univ Sao Paulo Sao Paulo Brazil

ISBN: (纸本)9781538692646

Structured lighting (SL) image processing relies on the generation of known illumination patterns synchronized with the camera frame rate and is commonly implemented using syncing capable cameras. In general, such cameras employ global shutters, that exposes the whole frame at once. However, most modern digital cameras use rolling shutters, which expose each line at different intervals, impairing most structured lighting applications. In this paper we introduce an asynchronous SL technique that can be used by any rolling shutter digital camera. While the use of stroboscopic illumination partially solves for the line exposure shift, the phase difference between the camera and lighting clocks results in stripe artifacts that move vertically in the video stream. These stripes are detected and tracked using a Kalman filter. Two asynchronous stroboscopic SL methods are proposed. The first method, image differencing, minimizes the stripe artifacts. The second method, image compositing, completely removes the artifacts. We demonstrate the use of the asynchronous differential lighting technique in a pupil detector using a low-cost high-speed camera with no synchronization means, with the lighting running independently at a higher, unknown frequency to the application.

关键词： Lighting Synchronization Frequency synchronization Clocks Software Digital cameras

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A Divide-and-Conquer Clustering Approach based on Optimum-Path Forest 31

A Divide-and-Conquer Clustering Approach based on Optimum-Pa...

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31st Conference on graphics, Patterns and images (SIBGRAPI)

作者： Montero, Adan Echemendia Falcao, Alexandre Xavier Univ Estadual Campinas Inst Comp Lab Image Data Sci Campinas SP Brazil

ISBN: (纸本)9781538692646

Data clustering is one of the main challenges when solving Data Science problems. Despite its progress over almost one century of research, clustering algorithms still fail in identifying groups naturally related to the semantics of the problem. Moreover, the technological advances add crucial challenges with a considerable data increase, which are not handled by most techniques. We address these issues by proposing a divide-and-conquer approach to a clustering technique, which is unique in finding one group per dome of the probability density function of the data - the Optimum-Path Forest (OPF) clustering algorithm. Our approach can use all samples, or at least many samples, in the unsupervised learning process without affecting the grouping performance and, therefore, being less likely to lose relevant grouping information. We show that it can obtain satisfactory results when segmenting natural images into superpixels.

关键词： Clustering algorithms Training Forestry Partitioning algorithms Probability density function Vegetation Prototypes

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A Novel Fingerprint Quality Assessment Based on Gabor Filters 31

A Novel Fingerprint Quality Assessment Based on Gabor Filter...

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31st Conference on graphics, Patterns and images (SIBGRAPI)

作者： Andrezza, Igor Borges, Erick Gualberto, Arnaldo Brasileiro, Joao Gomes, Herman Batista, Leonardo Vsoft Tecnol Joao Pessoa PB Brazil Univ Fed Campina Grande Campina Grande PB Brazil Univ Fed Paraiba Joao Pessoa PB Brazil

ISBN: (纸本)9781538692646

Fingerprints are the most widely deployed biometric characteristics. However, the recognition of a fingerprint may be influenced by a lot of factors (e.g., skin conditions, sensor conditions) and a matching algorithm is highly affected by the quality of the images involved. This work proposes a novel method for Fingerprint Quality Assessment (FQA) based on the analysis of the Gabor filters response on a fingerprint image. The correlation between the worst quality templates and the matching score has also been analyzed. The method is validated on FVC2000DB3, FVC2004DB2, FVC2004DB3, and FVC2006DB3 databases. This work was compared to other FQAs in order to evaluate performance and with different matching algorithms for fair comparison. The results found pointed that the proposed method is able to identify the images which most affect the error rates of an AFIS, better than the other methods presented in the literature.

关键词： Fingerprint recognition Quality assessment Databases Standards Histograms Forensics image recognition

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