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检索条件"任意字段=International Conference on Computer Vision and Image Processing, CVIP 2016"

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Implementation of image processing Based Digital Dactylology Converser for Deaf-Mute Persons

Implementation of Image Processing Based Digital Dactylology...

引用

international conference on Intelligent Systems Engineering (ICISE)

作者： Javed, Muhammad Yaqoob Gulzar, Muhammad Majid Rizvi, Syed Tahir Hussain Asif, M. Junaid Iqbal, Zaineb Univ Sci & Technol China Hefei Peoples R China Politecn Torino Turin Italy Univ Cent Punjab Lahore Pakistan Kinnaird Coll Women Lahore Pakistan

ISBN: (纸本)9781467387538

Language of signs is usually used by the deaf-mute persons in order to convey their message. But, it becomes very difficult for those who have no knowledge of the sign language. The aim of this research work is to resolve this problem using Digital Dactylology Converser (DOC) which is a device that converts a sign language into voice signal and text message. Primarily a hands gesture is recognised by computer vision program and based on that image a speech and text is played and displayed on the speaker and LCD respectively. Purpose of this device is to make conversation easy between dumb and the normal people around the world. In order to minimize their limitations and enable them to expand their boundaries, this is best suitable device. Experimental results verify the operational accuracy of the device for different users. The proposed device can work well and translates the letters, alphabets to text and sound.

关键词： Deaf-mute Digital Dactylology Converser (DDC) Sign Language computer vision

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Anisotropic Diffusion for Smoothing: A Comparative Study

引用

international conference on computer vision and Graphics (ICCVG)

作者： Bustacara, Cesar Gomez-Mora, Miller Florez-Valencia, Leonardo Pontificia Univ Javeriana Bogota Colombia Univ Dist Francisco Jose de Caldas Bogota Colombia

ISBN: (纸本)9783319464183

Anisotropic diffusion is a powerful image processing technique, which allows simultaneously to remove noise and to enhance sharp features in two and three dimensional images. Anisotropic diffusion filtering concentrates on preservation of important surface features, such as sharp edges and corners, by applying direction dependent smoothing. This feature is very important in image smoothing, edge detection, image segmentation and image enhancement. For instance, in the image segmentation case, it is necessary to smooth images as accurately as possible in order to use gradient-based segmentation methods. If image edges are seriously polluted by noise, these methods would not be able to detect them, so edge features cannot be retained. The aim of this paper is to present a comparative study of three methods that have been used for smoothing using anisotropic diffusion techniques. These methods have been compared using the root mean square error (RMSE) and the Nash-Sutcliffe error. Numerical results are presented for both artificial data and real data.

关键词： image segmentation

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An Intelligent vision-Based System Applied to Visual Quality Inspection of Beans 13th

An Intelligent Vision-Based System Applied to Visual Quality...

引用

13th international conference on image Analysis and Recognition in Memory of Mohamed Kamel (ICIAR)

作者： Belan, P. A. Araujo, S. A. Alves, W. A. L. Univ Nove Julho UNINOVE Informat & Knowledge Management Grad Program Sao Paulo SP Brazil

ISBN: (纸本)9783319415017;9783319415000

In this work it is proposed an intelligent vision-based system for automatic classification of beans most consumed in Brazil. The system is able to classify the grains contained in a sample according to their skin colors, and is composed by three modules: image acquisition and pre-processing;segmentation of grains and classification of grains. In the conducted experiments, we used an apparatus controlled by a PC that includes a conveyor belt, an image acquisition chamber and a camera, to simulate an industrial line of production. The results obtained in the performed experiments indicate that the proposed system could be applied to visual quality inspection of beans produced in Brazil, since one of the steps in this process is the measurement of the mixture contained in a sample, taking into account the skin color of grains, for determining the predominant class of product and, consequently, its market price.

关键词： Beans computer vision Quality inspection

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Enhancing computer vision to Detect Face Spoofing Attack Utilizing a Single Frame from a Replay Video Attack Using Deep Learning

Enhancing Computer Vision to Detect Face Spoofing Attack Uti...

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international conference on Optoelectronics and image processing (ICOIP)

作者： Alotaibi, Aziz Mahmood, Ausif Univ Bridgeport Bridgeport CT 06604 USA

ISBN: (纸本)9781509008803

Recently, automatic face recognition has been applied in many web and mobile applications. Developers integrate and implement face recognition as an access control into these applications. However, face recognition authentication is vulnerable to several attacks especially when an attacker presents a 2-D printed image or recorded video frames in front of the face sensor system to gain access as a legitimate user. This paper introduces a non-intrusive method to detect face spoofing attacks that utilize a single frame of sequenced frames. We propose a specialized deep convolution neural network to extract complex and high features of the input diffused frame. We tested our method on the Replay Attack dataset which consists of 1200 short videos of both real-access and spoofing attacks. An extensive experimental analysis was conducted that demonstrated better results when compared to previous static algorithms results.

关键词： face liveness detection face detection spoofing detection replay attack dataset anti-spoofing attacks

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Improving word recognition with a time of flight 3D camera

Improving word recognition with a time of flight 3D camera

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2016 international conference on image processing, computer vision, and Pattern Recognition, IPCV 2016

作者： Galarza, Luis Martin, Harold Adjouadi, Malek Department of Electrical and Computer Engineering Florida International University MiamiFL United States

ISBN: (纸本)1601324421

- This study introduces a modification to a previous method for dewarping book spread images in the design of an automated book reader for persons with visual impairment and blindness. This design concept could also be applied to the challenging book digitization process. In particular, we will focus on contrasting the effects of using uniform and full height maps, obtained through a time of flight device, when performing the necessary image corrections. The experiments conducted to prove the merits of this approach were performed on a testing dataset consisting of 142 pages with their corresponding depth maps that were extracted using the time of flight 3D camera. These 3D maps of book spreads are made available to other researchers as an open source resource for developing other dewarping mechanisms and character recognition algorithms. The results were quantified and measured by introducing the corrected images to an Optical Character Recognition (OCR) engine. Lastly, the robustness of the approach utilizing these height maps (uniform and full height) is also put to test by introducing unforeseen rotation on the book spreads which could happen when the book is not place properly. © CSREA Press.

关键词： Optical character recognition

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9th international conference on Robotic, vision, Signal processing and Power Applications: Empowering Research and Innovation

引用

2016年

作者： Haidi Ibrahim Shahid Iqbal Soosiang Teoh Mohd Tafir Mustaffa

ISBN: (纸本)9789811017193

The proceeding is a collection of research papers presented, at the 9th international conference on Robotics, vision, Signal processing & Power Applications (ROVISP 2016), by researchers, scientists, engineers, academicians as well as industrial professionals from all around the globe to present their research results and development activities for oral or poster presentations. The topics of interest are as follows but are not limited to: Robotics, Control, Mechatronics and Automation vision, image, and Signal processing Artificial Intelligence and computer Applications Electronic Design and Applications Telecommunication Systems and Applications Power System and Industrial Applications Engineering Education

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Developments in Medical image processing and Computational vision

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2016年

作者： Joáo Manuel Rs S Tavares Renato Natal Jorge

ISBN: (纸本)9783319364629

This book presents novel and advanced topics in Medical image processing and Computational vision in order to solidify knowledge in the related fields and define their key stakeholders. It contains extended versions of selected papers presented in Vipimage 2013 IV international ECCOMAS Thematic conference on Computational vision and Medical image, which took place in Funchal, Madeira, Portugal, 14-16 October 2013. The twenty-two chapters were written by invited experts of international recognition and address important issues in medical image processing and computational vision, including: 3D vision, 3D visualization, colour quantisation, continuum mechanics, data fusion, data mining, face recognition, GPU parallelisation, image acquisition and reconstruction, image and video analysis, image clustering, image registration, image restoring, image segmentation, machine learning, modelling and simulation, object detection, object recognition, object tracking, optical flow, pattern recognition, pose estimation, and texture analysis. Different applications are addressed and described throughout the book, comprising: biomechanical studies, bio-structure modelling and simulation, bone characterization, cell tracking, computer-aided diagnosis, dental imaging, face recognition, hand gestures detection and recognition, human motion analysis, human-computer interaction, image and video understanding, image processing, image segmentation, object and scene reconstruction, object recognition and tracking, remote robot control, and surgery planning. This volume is of use to researchers, students, practitioners and manufacturers from several multidisciplinary fields, such as artificial intelligence, bioengineering, biology, biomechanics, computational mechanics, computational vision, computer graphics, computer science, computer vision, human motion, imagiology, machine learning, machine vision, mathematics, medical image, medicine, pattern recognition, and physics.

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GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets 24

GPU-Accelerated Texture Analysis Using Steerable Riesz Wavel...

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24th Euromicro international conference on Parallel, Distributed, and Network-Based processing, PDP 2016

作者： Vizitiu, Anamaria Itu, Lucian Mihai Joyseeree, Ranveer Depeursinge, Adrien Muller, Henning Suciu, Constantin Imaging and Computer Vision Siemens SRL Corporate Technology Romania Romania Atomation and Information Technology Transilvania University of Brasov Romania Institute of Information Systems HES-SO Sierre Switzerland Medical Informatics University University Hospitals of Geneva Switzerland ETHZ Zürich Switzerland

ISBN: (纸本)9781467387750

Visual pattern recognition is a key research topic in the field of image processing and computer vision. Texture analysis based on steerable Riesz wavelets is powerful, but requires computing pixel - wise operations resulting in a run time in the order of days when large volumes of data are processed. To overcome this limitation we propose a Graphics processing Unit (GPU) based solution. A standard CPU version is used as starting point for the development of baseline GPU versions. To further increase the performance, and to overcome compute and memory limitations we apply a series of optimization techniques, leading to five versions in total. The best performing GPU solution ensures a speed - up of 93x for the parallelized section of the application and of 29.6x for the entire application. Furthermore, we show that a higher Riesz order and/or a higher image resolution further increases the speed - up. © 2016 IEEE.

关键词： Graphics processing unit

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computer vision Based Overlapped Flowers Detection 16

Computer Vision Based Overlapped Flowers Detection

引用

international conference on Advances in Information Communication Technology and Computing

作者： Koolwal, Deepti Jain, Praveen K. Agarwal, Ankit Swami Keshvanand Inst Tech Jaipur Rajasthan India

ISBN: (纸本)9781450342131

Applications of enhanced photograph processing and human structure modeling procedures performed mammoth function in advancement of Video surveillance. Right here we are presenting a proposed video surveillance approach for overlapped flower yield detection. In this article a digicam is viewed standing dealing with a flower mattress for flower yield detection. Range of flower types are maintained together with yellow, purple and crimson petals in each state of affairs respectively for study consideration. For candidature of yieldable some valid parameters are considered such as flower dimension, quantity of petals etc. After color modeling, morphological operations entire utilizing dilation, erosion, opening and closing algorithms for removing of any spurious noise with-in a digicam acquainted images.

关键词： Yield image processing segmentation CHT crosion morphological processing

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image Analysis for Identifying Mosquito Breeding Grounds

Image Analysis for Identifying Mosquito Breeding Grounds

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IEEE international conference on Sensing, Communication and Networking (IEEE SECON Workshops)

作者： Mehra, Maanit Bagri, Aditya Jiang, Xiaofan Ortiz, Jorge Columbia Univ Dept Elect Engn New York NY 10027 USA IBM TJ Watson Res Lab Yorktown Hts NY 10598 USA

ISBN: (纸本)9781509024292

In this paper we present a technique for identifying the presence of stagnant water bodies in images taken in various settings. Stagnant water bodies, such as puddles, can become sites for mosquitos to grow, which increases the likelihood of the spread of diseases, such as Zika [1]. We observe that existing techniques perform poorly on images of variable quality, variable backgrounds, and focus. We present a technique that is able to successfully identify puddles in these images with about 88% accuracy and over 95% recall. Our technique is robust to image focus, background, and quality, making it a good choice for datasets produced by various kinds of cameras, including those on mobile phones, thermal imagers and unmanned aerial vehicles (UAVs).

关键词： Stagnant Water Detection Zika computer vision Mosquito-borne diseases Thermal image processing

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