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Helmet Detection on Motorcyclists Using image Descriptors and Classifiers 27

Helmet Detection on Motorcyclists Using Image Descriptors an...

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27th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Silva, Romuere Aires, Kelson Veras, Rodrigo Univ Fed Piaui UFPI Dept Sistemas Informacao Picos Brazil Univ Fed Piaui UFPI Dept Comp Teresina Brazil

ISBN: (纸本)9781479942602

Motorcycle accidents have been rapidly growing throughout the years in many countries. Due to various social and economic factors, this type of vehicle is becoming increasingly popular. The helmet is the main safety equipment of motorcyclists, however many drivers do not use it. The main goal of helmet is to protect the drivers head in case of accident. In case of accident, if the motorcyclist does not use can be fatal. This paper aims to propose a system for detection of motorcyclist without helmet. For this, we have applied the circular Hough transform and the Histogram of Oriented Gradients descriptor to extract the image attributes. Then, the MultiLayer Perceptron classifier was used and the obtained results were compared with others algorithms. Traffic images were captured by cameras from public roads and constitute a database of 255 images. Indeed, the algorithm step regarding the helmet detection accomplished an accuracy rate of 91.37%.

关键词： Helmet Feature extraction Classification

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Automatic Segmentation of Specular Reflections for Endoscopic images Based on Sparse and Low-Rank Decomposition 27

Automatic Segmentation of Specular Reflections for Endoscopi...

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27th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Queiroz, Fabiane Ren, Tsang Ing Fed Univ Pernambuco UFPE Ctr Informt Recife PE Brazil

ISBN: (纸本)9781479942602

Endoscopy is a minimally invasive medical diagnostic procedure that is used to provide a realistic view of the surfaces of organs inside human body. images taken during such procedures largely show tissues of human organs. Due to the presence of mucosa of the gastrointestinal tract or other characteristics of the human body, these surfaces usually have a glossy appearance showing specular reflections. For many image analysis algorithms, these distinct and bright visual mark can be a significant source of error. On other hand, these features can also be useful for image restoration and for the construction of 3D model of the organs. In this article, we propose a segmentation method of the specular regions based on sparse and low-rank decomposition using a robust PCA via accelerated proximal gradient algorithm. In contrast to the existing approaches, the proposed segmentation works without using colour image thresholds. Moreover, the proposed method presents more precise segmentation results represented by grayscale masks instead of binary masks.

关键词： Matrix Decomposition robust PCA specular reflections segmentation medical imaging image pocessing

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Efficient scan operator methods on a GPU 26

Efficient scan operator methods on a GPU

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26th International symposium on computer Architecture and High Performance Computing, SBAC-PAD 2014

作者： Diéguez, Adrián P. Amor, Margarita Doallo, Ramón University of A Coruña Spain

ISBN: (纸本)9781479969043

Current GPUs (graphics processing Units) offer high computational power at relatively low cost, nonetheless, this enhanced performance often comes at the expenses of flexibility and code complexity. Efficient GPU programming requires detailed knowledge on certain hardware aspects. The scan operator is an important building block for a wide range of algorithms. In this paper, we present a number of parallel scan methods based on the traditional cyclic reduction tridiagonal solver and the Ladner-Fischer parallel prefix adder. Futhermore, we analyze a set of new features introduced in the Kepler Nvidia architecture such as read-only data cache and shuffle instructions. Our methods provide an excellent performance in many cases, up to 48% improvement over the CUDA Data Parallel Primitives (CUDPP) library. © 2014 IEEE.

关键词： graphics processing unit

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Superpixel-based interactive classification of very high resolution images 27

Superpixel-based interactive classification of very high res...

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27th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Vargas, John E. Saito, Priscila T. M. Falcao, Alexandre X. de Rezende, Pedro J. dos Santos, Jefersson A. Univ Estadual Campinas Inst Comp Campinas SP Brazil Fed Technol Univ Parana Dept Comp Engn Cornelio Procopio Brazil Univ Fed Minas Gerais Dept Comp Sci Belo Horizonte MG Brazil

ISBN: (纸本)9781479942602

Very high resolution (VHR) images are large datasets for pixel annotation - a process that has depended on the supervised training of an effective pixel classifier. Active learning techniques have mitigated this problem, but pixel descriptors are limited to local image information and the large number of pixels makes the response time to the user's actions impractical, during active learning. To circumvent the problem, we present an active learning strategy that relies on superpixel descriptors and a priori dataset reduction. Firstly, we compare VHR image annotation using superpixel- and pixel-based classifiers, as designed by the same state-of-the-art active learning technique - Multi-Class Level Uncertainty (MCLU). Even with the dataset reduction provided by the superpixel representation, MCLU remains unfeasible for user interaction. Therefore, we propose a technique to considerably reduce the superpixel dataset for active learning. Moreover, we subdivide the reduced dataset into a list of subsets with random sample rearrangement to gain both speed and sample diversity during the active learning process.

关键词： Very high resolution image processing active learning superpixel representation dataset reduction supervised classification

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3D Face Reconstruction from Video Using 3D Morphable Model and Silhouette 27

3D Face Reconstruction from Video Using 3D Morphable Model a...

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27th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Baumberger, Christian Reyes, Mauricio Constantinescu, Mihai Olariu, Radu de Aguiar, Edilson Oliveira-Santos, Thiago Univ Bern CH-3012 Bern Switzerland Inselspital Bern Bern Switzerland Univ Fed Espirito Santo Vitoria ES Brazil

ISBN: (纸本)9781479942602

Capitalizing on the advances of 3D face reconstruction from computer graphics and computer vision, this work presents a system to enable precise and robust 3D facial reconstruction from video in order to improve current approaches for doctor-patient communication tools. The reconstructed face can be used for emulation of aesthetic procedures in 3D. The proposed 3D face reconstruction algorithm uses a statistical shape model as well as information from facial landmarks and silhouette to iteratively model the face of a subject moving the face from front to left. The presented 3D active shape model approach enables the spatio-temporal tracking of facial landmarks and pose estimation based on a few initial facial landmarks defined in the first frame. Silhouette information extracted from key frames allows for better face reconstruction. The proposed methods were rigorously evaluated with experiments using real and artificial data. Results showed that the proposed method can detect facial landmarks with an approximate median error of 5% intraocular distance, can estimate pose with a median error below 5 degrees, and that silhouette information can improve reconstruction accuracy in all facial regions, specially on the cheeks.

关键词： morphable model face reconstruction computer graphics

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Efficient execution of microscopy image analysis on CPU, GPU, and MIC equipped cluster systems 26

Efficient execution of microscopy image analysis on CPU, GPU...

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26th International symposium on computer Architecture and High Performance Computing, SBAC-PAD 2014

作者： Andrade, G. Ferreira, R. Teodoro, George Rocha, Leonardo Saltz, Joel H. Kurc, Tahsin Federal University of Minas Gerais Brazil University of Brasília Brazil Federal University of São João Del Rei Brazil Stony Brook University United States

ISBN: (纸本)9781479969043

High performance computing is experiencing a major paradigm shift with the introduction of accelerators, such as graphics processing units (GPUs) and Intel Xeon Phi (MIC). These processors have made available a tremendous computing power at low cost, and are transforming machines into hybrid systems equipped with CPUs and accelerators. Although these systems can deliver a very high peak performance, making full use of its resources in real-world applications is a complex problem. Most current applications deployed to these machines are still being executed in a single processor, leaving other devices underutilized. In this paper we explore a scenario in which applications are composed of hierarchical dataow tasks which are allocated to nodes of a distributed memory machine in coarse-grain, but each of them may be composed of several ner-grain tasks which can be allocated to dierent devices within the node. We propose and implement novel performance aware scheduling techniques that can be used to allocate tasks to devices. We evaluate our techniques using a pathology image analysis application used to investigate brain cancer morphology, and our experimental evaluation shows that the proposed scheduling strategies signicantly outperforms other ecient scheduling techniques, such as Heterogeneous Earliest Finish Time - HEFT, in cooperative executions using CPUs, GPUs, and Masc. also experimentally show that our strategies are less sensitive to inaccuracy in the scheduling input data and that the performance gains are maintained as the application scales. © 2014 IEEE.

关键词： graphics processing unit

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Building Multi-Resolution Volumetric 3D Maps in Real-Time Using CPU 7

Building Multi-Resolution Volumetric 3D Maps in Real-Time Us...

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IEEE/SICE International symposium on System Integration (SII)

作者： Ktiri, Youssef Okada, Kei Inaba, Masayuki Univ Tokyo Dept Mechanoinformat Bunkyo Ku 7F Build 2 Tokyo Japan

ISBN: (纸本)9781479969449

We propose an approach to fuse sequences of point cloud data from RGB-D cameras or other Laser sensors into one multi-resolution volumetric map. Our approach can work with one or multiple generic sensors and bases on an octree-like data structure to compress data into a memory efficient and multi-resolution map. Such map correctly models free, occupied as well as unknown space and can be suitable for robot navigation. We make use of a fast neighbour search on octrees to reach real-time registration on CPU. Our system does not require availability of a state-of-art GPU and hence can be run on systems with limited on-board computational resources like flying robots. We present our first experimental results using such approach.

关键词： computer graphics image resolution octrees search problems sensor fusion CPU fast neighbour search multiresolution volumetric 3D maps octree-like data structure point cloud data sequences fusion real-time registration Cameras graphics processing units Octrees Robots Sensors Three-dimensional displays octrees central processing units three-dimensional displays tabu search Cameras image resolution Sensor fusion computer graphics Robot Multi-resolution graphics processing Unit Sensors Laser sensors

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Improving Visual Communication for EIT-based Lung Research

Improving Visual Communication for EIT-based Lung Research

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IEEE Pacific Visualization symposium (PacificVis)

作者： Gillmann, Christina Salz, Peter Univ Kaiserslautern Comp Graph & HCI Grp D-67663 Kaiserslautern Germany

ISBN: (纸本)9781479928736

EIT (Electrical Impedance Tomography) is a novel imaging method visualizing impedance changes in the thorax mainly influenced by breathing and heart beating. Unfortunately, this technique has a poor image resolution. To improve the quality of EIT images, computer scientists and medical researchers are working together on the image reconstruction process of the data. As their background is different, there exist difficulties in the communication while assessing data and images. We provide a visualization of the thorax containing CT (computer Tomography) and EIT images closing this gap. It is 3D, multimodal, semiabstract and suitable for both groups, and shows a rendered thorax volume with an embedded 2D EIT movie. The EIT image reconstruction contains several computational intermediate stages which are used to improve the volume rendering transfer function. Additionally, isosurfaces show context structures to understand spatial coherences more easily. The visualization is designed to be interactive and remove visual clutter to provide a direct view to the lung, which is the focus of interest. The results show that our visualization is able to give a basis for discussion for medical researchers as well as for computer scientists. Phenomena that have been discovered during long discussions are easier to detect. Furthermore it is possible to obtain new knowledge and address questions in terms of EIT.

关键词： computerised tomography data visualisation electric impedance imaging image reconstruction image resolution medical image processing rendering (computer graphics) transfer functions visual communication CT EIT images EIT-based lung research computer tomography context structures electrical impedance tomography embedded 2D EIT movie image reconstruction process image resolution impedance change visualization method isosurfaces rendered thorax volume spatial coherences visual clutter removal visual communication volume rendering transfer function Biomedical imaging Computed tomography computers Data visualization Lungs Rendering (computer graphics)

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Interactive Object Class Segmentation for Mobile Devices 27

Interactive Object Class Segmentation for Mobile Devices

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27th SIBGRAPI Conference on graphics, Patterns and images (SIBGRAPI)

作者： Gallo, Ignazio Zamberletti, Alessandro Noce, Lucia Univ Insubria Dept Theoret & Appl Sci DiSTA Varese Italy

ISBN: (纸本)9781479942602

In this paper we propose an interactive approach for object class segmentation of natural images on touch-screen capable mobile devices. The key research question to which this paper tries to give an answer is: can we effectively correct the errors committed by an automatic or semi-automatic figure-ground segmentation algorithm while also providing real time feedback to the user on a low computational power mobile device? Many research works focused on improving automatic or semi-automatic figure-ground segmentation algorithms, but none tried to take advantage of the existing touch-screen technology integrated in most modern mobile devices to optimize the segmentation results of these algorithms. Our key idea is to use superpixels as interactive buttons that can be quickly tapped by the user to be added or removed from an initial low quality segmentation mask, with the aim of correcting the segmentation errors and produce a satisfying final result. We performed an extensive analysis of the proposed approach by implementing it both on a desktop computer and a mid-range Android device;even though our method is extremely simple, the results we obtained are comparable with those achieved by other state-of-the-art interactive segmentation algorithms. As such, we believe that the proposed approach can be exploited by most image editing mobile applications to provide a simple but highly effective method for interactive object class segmentation.

关键词： Interactive image Segmentation Object Class Segmentation GrabCut Segmentation Superpixel Segmentation

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Analytical Visualization of Large-scale data of 3D Cultural Objects

Analytical Visualization of Large-scale data of 3D Cultural ...

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IEEE Pacific Visualization symposium (PacificVis)

作者： Tanaka, Satoshi Ritsumeikan Univ Kyoto Japan

ISBN: (纸本)9781479928736

For appreciating 3D cultural objects, e. g., artistic statues, traditional vehicles, and historical buildings or cities, visualization has mainly been used in the following styles: (1) realistic computer graphics, (2) artistic computer graphics, and (3) interactive virtual reality. However, for academic studying of 3D cultural objects, these styles are insufficient. Namely, we need more analytical styles that can extract invisible or veiled features of visualized targets. What makes such analytical visualization more important is recent rapid development of range-sensing technology to digitally archive real 3D objects. For example, modern laser scanning produces over 107 or 10(8) 3D point data for one measurement. To extract useful information from such large-scale and complex data, we need (A) precise 3D transparent visualization, (B) superposition of visual assistants, and (C) time-series visualization.

关键词： computer graphics [I.3.m]: Miscellaneous image processing and computer Vision [I.4.8]: Scene Analysis Range data

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