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检索条件"任意字段=2nd International Conference on Computer Vision and Image Processing, CVIP 2017"

共 1830 条记录，以下是1061-1070 订阅

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3D Face Reconstruction from Low-Resolution images with Convolutional Neural Networks 18

3D Face Reconstruction from Low-Resolution Images with Convo...

引用

2nd international conference on Video and image processing (Icvip)

作者： Winkler, Rouven Qu, Chengchao Voth, Sascha Beyerer, Juergen Fraunhofer Inst Optron Syst Technol & Image Explo Fraunhoferstr 1 D-76131 Karlsruhe Germany Fraunhofer IOSB Karlsruhe Germany KIT Vis & Fus Lab IES Karlsruhe Germany

ISBN: (纸本)9781450366137

During the past years, convolutional neural networks (CNNs) have widely spread as a powerful tool for tackling a variety of challenges posed in computer vision. Consequently, the trend neither does stop at 3D face reconstruction: Recently, several CNN-based approaches for reconstructing the dense 3D geometry of a face from only a single image have been introduced. However, while all of these methods deal with 3D face reconstruction in the high-resolution (HR) case, reconstruction in low-resolution (LR) surveillance scenarios by means of CNNs has not received any attention so far. With this work, we address that gap, being the first to propose a CNN architecture specifically tailored to LR 3D face reconstruction: We introduce an end-to-end trainable CNN capable of simultaneously estimating 3D geometry and pose of a face given a single LR image. By coupling our network with a state-of-the-art LR face detector, we build a 3D face reconstruction pipeline ready for integration into real-world applications. We conduct systematic evaluation on LR versions of the in-the-wild AFLW2000-3D dataset, considering decreasing interocular distances (IODs) down to three pixels. The results show superior performance of the proposed method in the LR domain over state-of-the-art approaches, for both 3D face reconstruction and the closely related face alignment task.

关键词： 3D face reconstruction low-resolution CNN

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Detecting computer vision Syndrome Using Eye Blink - An Experimental Evaluation 2

Detecting Computer Vision Syndrome Using Eye Blink - An Expe...

引用

2018 2nd international conference on computer Graphics and Digital image processing, CGDIP 2018

作者： Memon, Qurban A. Hassan, Mohammad Y. EE Department United Arab Emirates EE Department UAE University Al Ain15551 United Arab Emirates

Nowadays, people spend more time using computers, laptops, and smartphones, etc., that causes decrease in eye blink frequency. Since eye blink spreads tears on eye cornea to moisture, the reduction in blink rate results in eye redness and dryness. In this work, eye blink detector is reported that is utilized to prevent eye dryness and redness. A number of existing eye blink detection schemes are surveyed and then a solution is proposed based on analysis. The proposed solution is based on histogram back projection. The proposed approach detects opening and closing state of the eyes and then if blinking rate is determined to be less than normal, it raises flag for computer vision syndrome. The approach is tested on different data sets under various lighting conditions and its performance is compared and analyzed. © Published under licence by IOP Publishing Ltd.

关键词： computer vision

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Application of the CLAHE Algorithm Based on Optimized Bilinear Interpolation in Near Infrared Vein image Enhancement 18

Application of the CLAHE Algorithm Based on Optimized Biline...

引用

2nd international conference on computer Science and Application Engineering (CSAE)

作者： Miao, Yu Song, Dalong Shi, Weili Yang, Huamin Li, Yanfang Jiang, Zhengang He, Wei Gu, Wanqing Changchun Univ Sci & Technol POB 130022 Changchun Jilin Peoples R China Peoples Liberat Army Gen Hosp POB 100853 Changchun Jilin Peoples R China

ISBN: (纸本)9781450365123

In-1 general, there are some features in the near-infrared superficial vein images such as high noise and low contrast. The edges of veins in the image are blurred. And the vascular lines are not obvious. It has high algorithm complexity and low processing efficiency in the CLAHE (Contrast Limited Adaptive Histogram Equalization) based on bilinear interpolation. In order to solve these problems, this paper proposed an CLAHE algorithm based on optimized binliner interpolation, which adds the parameter T to the interpolation function. T speeds up the interpolation speed so that the entire algorithm runs faster. Experiments show that the running speed of the algorithm is better than that of the CLAHE algorithm based on bilinear interpolation. Simultaneously, the enhancement effect of the algorithm on the image is the same as that of the CLAHE algorithm based on bilinear interpolation.

关键词： Near infrared imaging low contrast CLAHE algorithm bilinear interpolation

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Partial Motion Blur Removal 2

Partial Motion Blur Removal

引用

2nd IEEE international conference on Data Stream Mining and processing (DSMP)

作者： Klyuvak, Andriy Kliuva, Oksana Skrynkovskyy, Ruslan ABTO Software LLC Lvov Ukraine Lviv Univ Business & Law Dept Business Econ & Informat Technol Lvov Ukraine

The work is focused on two types of images partial blur (a single object blur and background blur). Complex approach to the deblurring of such images is proposed. It includes such aspects as automated blur detection, ... 详细信息

ISBN: (纸本)9781538628744

关键词： image deblurring motion blur single object PSF computer vision image reconstruction partial blur

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ADVANCED DRIVER ASSITANCE SYSTEM (ADAS) 2

ADVANCED DRIVER ASSITANCE SYSTEM (ADAS)

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2nd international conference on Intelligent Computing and Control Systems (ICICCS)

作者： Raviteja, S. Shanmughasundaram, R. Amrita Vishwa Vidyapeetham Amrita Sch Engn Dept Elect & Elect Engn Coimbatore Tamil Nadu India

ISBN: (纸本)9781538628423

Many accidents occur due to distracted driving and human errors. Partial Autonomous Driver Assistance System (ADAS) can assist the driver to avoid the collision and maintain the control of the vehicle by giving warning signals. The system consists of (i) lane detection and tracking (ii) Lane Departure Warning (LDWS) (iii) Blind spot detection and warning system (BDWS). An image processing algorithm is developed in python using OpenCV library to track the lanes and gives an acoustic warning in advance if there is lane departure or blind spot detection. The proposed system is implemented on raspberry pi microcontroller board to check the accuracy of the algorithm.

关键词： OpenCV computer vision Advanced driver assistance system

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Quantization of the Space of Structural image Features as a Way to Increase Recognition Performance 2

Quantization of the Space of Structural Image Features as a ...

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2nd IEEE international conference on Data Stream Mining and processing (DSMP)

作者： Gorokhovatskyi, Volodymyr Gorokhovatskyi, Oleksii Yevgenyi, Putyatin Olena, Peredrii Kharkiv Natl Univ Radio Elect Informat Dept Kharkov Ukraine Simon Kuznets Kharkiv Natl Univ Econ Informat & Comp Technol Dept Kharkov Ukraine

ISBN: (纸本)9781538628744

A modification of the structural image recognition method in computer vision systems is proposed. In order to improve the performance of recognition, quantization (clustering) is applied in the space of characteristic features that form the pattern of the object. Due to the transformation of structural objects descriptions from a set representation to a vector form, the amount of computation is reduced tens of times. The results of experiments that confirmed the effectiveness and increase of decision-making process are shown.

关键词： computer vision structural recognition methods set of characteristic features descriptor quantization competitive learning recognition performance noise immunity

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Machine vision assisted elimination of traffic using intelligent control 2

Machine vision assisted elimination of traffic using intelli...

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2nd international conference on Inventive Systems and Control, ICISC 2018

作者： Jeya Maria Jose, V. Anand, M. Vibashan, V.S. Vivek, D.C. Instrumentation and Control Engineering Department National Institute of Technology Trichy Member of Spider R and D Club Trichy India

ISBN: (纸本)9781538608074

The traffic density on roads has been on an exponential rise since the advent of automobile revolution. Since then there has been some approaches for traffic management such as traffic light control based on load, traffic density calculation based on IR etc. An efficient algorithm using image processing techniques and intelligent control is proposed to completely obliterate traffic. The prototype has been developed and successfully tested using a miniature model of a rover and a wall mounted camera. In real time environments, this setup is analogous to cars with GPS and satellite cameras giving live traffic data on roads. The algorithm works in such a way that the vehicles are tuned to move at a calculated speed at which they avoid stopping at traffic signals which leads to reduction of traffic. This approach also helps us in the reduction of vehicle particulate emissions and improving the fuel efficiency, battery life in case of electric vehicles. © 2018 IEEE.

关键词： computer vision

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A NOVEL EXPERIMENTAL TECHNIQUE FOR RECOVERING CAMERA RESPONSE FUNCTION FOR HIGH DYNAMIC RANGE IMAGING 18

A NOVEL EXPERIMENTAL TECHNIQUE FOR RECOVERING CAMERA RESPONS...

引用

Proceedings of the 2nd international conference on Advances in image processing

作者： Salvador Garcia Bernal Yuanhao Gong Bozhi Liu Guoping Qiu Novel Optics Computer Vision Lab ETH Zurich College of Information Engineering Shenzhen University

ISBN: (纸本)9781450364607

Recovering the camera's response function has wide applica-tion in image processing and computer *** computational approach using multiple differently exposed photographs is based on solving a constrained linear least square problem and can only recover the function up to a scaling *** this paper,we present a novel experiment based technique to recover the true response curves of spe-cific *** method first measures the average pixel intensities of a neutrally-grey cardboard for the full range of the shutter speed and gain control values of the ***-ter a simple data smoothing procedure,the camera's response function is recovered through simple table *** have implemented our technique on different kinds of sensors and show that it works *** new technique recover the actual range of the sensor and is more accurate than the computa-tional *** procedure is easy to set up and simple to implement which will be useful for developing applications such as High Dynamic Ranging(HDR) imaging.

关键词： Exposure Camera Response Curve HDR

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Understanding how adversarial noise affects single image classification 2nd

Understanding how adversarial noise affects single image cla...

引用

2nd international conference on Intelligent Information Technologies, ICIIT 2017

作者： Adate, Amit Saxena, Rishabh Don, S. VIT University VelloreTamil Nadu632014 India

ISBN: (纸本)9789811076343

In recent trends, computer vision applications have seen massive implementation of supervised learning with convolutional neural networks. In this paper, we have analyzed image classifiers and their classification accuracy. Also, we have measured their robustness upon introduction to various noise layers. Furthermore, we have implemented a generative adversarial network for the generator task of adversarial noise generation and the discriminator task of single image classification on the handwritten digits database. Our experiments are yielding progressive results and we have performed conditional and quantifiable evaluation of the generated samples. © Springer Nature Singapore Pte Ltd. 2018.

关键词： image classification

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Skeleton Formation from Human Silhouette images Using Joint Points Estimation 2

Skeleton Formation from Human Silhouette Images Using Joint ...

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2nd international conference on Advances in Computing, Control and Communication Technology, IAC3T 2018

作者： Quoc, Pham Bao Binh, Nguyen Thanh Tin, Dang Thanh Khare, Ashish Faculty of Computer Science and Engineering Ho Chi Minh City University of Technology VNU-HCM Ho Chi Minh City Viet Nam Department of Electronics and Communication University of Allahabad Allahabad India

ISBN: (纸本)9781538641460

Tracking and identifying human actions are most of the problems that attract many researchers in the field of computer vision. In this problem, it is important to extract features in such a way that the information is minimized for processing and storing, but they still retain basic characteristics of the object. Estimating skeleton model with joints is one of the effective methods to represent the general shape of objects. This method reduces the amount of information that needs to be stored, but it preserves the kinetic characteristics of human parts. This paper proposes improvement in the estimating joint point's method that help to construct the human skeleton model from silhouette images more accurately and effectively. The proposed method uses the gradient of distance transform image to extract the coarse skeleton from the human silhouette image. Then, the distance-based searching method is applied at specific locations to estimate the joint points. Finally, the joint points are connected to give the human skeleton model which has 16 points. The proposed method reduces the number of times in traversing the whole image, and the calculating distances are optimized to speed up the system. The experimental results show that the proposed method gives good results in many cases. © 2018 IEEE.

关键词： image enhancement

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