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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XI"

共 16408 条记录，以下是4771-4780 订阅

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Convolutional Neural Network for Raindrop Detection 16

Convolutional Neural Network for Raindrop Detection

引用

16th International conference on Ubiquitous Robots (UR)

作者： Bae, In-Gyu Bang, Seongbae Kim, Wonha Univ Kyunghee Elect Engn Dept Yongin 1732 Gyunggi Do South Korea

ISBN: (纸本)9781728132327

In the technique of recognizing objects based on camera images, Raindrops that are adsorbed to camera lenses and refracting the incoming light are the main factors of lowering the recognition rate. Existing methods for detecting these droplets mainly define ideal droplet forms and detect areas similar to those defined in the image to determine whether or not to absorb Raindrops in the image. However, since the shape of the droplet varies from lens to lens, it is difficult to determine whether the droplet is absorbed by various cameras by conventional methods. Therefore, this paper presents a Deep learning method of detecting Raindrops of various shapes, which were difficult to detect by conventional signal processing methods.

关键词： Cameras Lenses image recognition Shape Signal processing algorithms Complexity theory Real-time systems"

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Features for Melanoma Lesions: Extraction and Classification 19

Features for Melanoma Lesions: Extraction and Classification

引用

19th IEEE/WIC/ACM International conference on Web Intelligence (WI)

作者： Vocaturo, Eugenio Caroprese, Luciano Zumpano, Ester Univ Calabria Dept Comp Sci Modelling Elect & Syst Engn Commenda Di Rende Italy

ISBN: (纸本)9781450369886

Computer vision systems are increasingly used for the early detection of skin cancers. Recognizing the first sign of melanoma is very important because if melanoma is found and treated in its primary stage the chances for long-term survival are excellent. On the contrary, as it progresses its treatment becomes increasingly harder and it has worse outcome. The various proposals of computer vision systems are characterized by some fundamental common phases: image acquisition, pre-processing, segmentation, features extraction and finally classification. Feature extraction aims at extracting the features from the lesion image in order to characterize the melanoma and feed the classifier. The recent research provided many different feature extraction algorithms for melanoma diagnosis from dermoscopy images from the simplest to the most sophisticated. Features are typically extracted using digital image processing methods (i.e., segmentation, edge detection and color and structure processing), and an open discussion about the meaning of these features and the objective ways of measuring them is ongoing. This paper is a contribution to the feature extraction phase as it describes the most frequently used features in the elaboration of computer vision systems and reports a description of recent works for feature extraction and classification.

关键词： feature descriptor malignant melanoma medical image analysis computer vision systems

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image Artistic Style Transfer Based on Color Distribution Preprocessing 4th

Image Artistic Style Transfer Based on Color Distribution Pr...

引用

4th International conference on Cognitive systems and Information processing, ICCSIP 2018

作者： Zhang, Yinshu Chen, Jiayi Si, xiangyu Tian, Zhiqiang Lan, Xuguang School of Software Engineering Xi’an Jiaotong University Xi’anShaanxi710049 China Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’anShaanxi710049 China

ISBN: (纸本)9789811379826

Style transfer is an increasingly popular field that can capture the styles of a particular artwork and use them to synthesize a new image with specific content. Previous NST algorithms have the limitation to transfer styles to correct regions in the output image. Therefore, some regions in the output image have deformed structures of the source image. In this paper, we propose a color preprocessing-based neural style transfer method to overcome the limitation. To reduce impacts caused by color differences between source image and style, we propose three models based on a color iterative distribution transform algorithm (IDT). The first one is named original color-preprocessed (OCp) model, which uses IDT to transform the color probability density function (PDF) of source image into that of style image. The second one is named exposure-corrected original color-preprocessed (EC-OCp) model, which adds an automatic detail-enhanced exposure correction module before OCp model. When source image is underexposed, EC-OCp model can achieve better results than OCp model. The third one is style color-preprocessed (SCp) model. It uses IDT to transform the color PDF of style image into that of source image. The original structures are well protected in the output image. According to experiments, the proposed models are robust to the source images with more conditions. Therefore, they have more usage values than the original method. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Color

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Research on Visual Fatigue Related to Parallax

Research on Visual Fatigue Related to Parallax

引用

Annual International conference on 3D Imaging Technology, IC3DIT 2019

作者： Sun, Zihan Cheng, Zerui Liang, Haowen Jiang, Hao Wang, Jiahui National Demonstration Center for Experiment Physics Education School of Physics Sun Yat-Sen University Guangzhou China School of Electronics and Information Technology Sun Yat-Sen University No. 135 Xingang Xi Road Guangzhou China

ISBN: (纸本)9789811538667

The sense of discomfort when watching stereoscopic display caused by visual fatigue has hindered the widespread applications of 3D display. In this work, we explore the relationship between visual fatigue and parallax in 3D display using objective assessment. The visual fatigue is evaluated after viewing different parallax 3D samples. The results demonstrate that visual fatigue increases faster in negative parallax than positive one. Surprisingly, it indicates that visual fatigue can be achieved less value than 2D display with unconspicuous parallax, which makes subjects feel more comfortable of 3D visual perception than 2D. We envision that this relationship is able to establish a novel criterion in designing stereoscopic images. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Stereo image processing

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Lightweight real-time object detection based on deep learning 13th

Lightweight real-time object detection based on deep learnin...

引用

13th International conference on Genetic and Evolutionary Computing, ICGEC 2019

作者： Wei, Zhefei Huang, Zhe Guo, Baolong Li, Cheng Wang, Geng School of Aerospace Science and Technology Xidian University Taibai South Road Xi’an710071 China

ISBN: (纸本)9789811533075

Real-time object detection plays a significant role in the field of computer vision. Advanced object detection networks combine with the distribution characteristics in the image, while exposing detecting small targets as a bottleneck. In this paper, a novel network YOLO-light, can real-time detect and accurately detect objects in embedded system or portable devices. Firstly, in order to gaining better priori boxes, the clustering analysis is applied to pre-processing. Secondly, inspired from the multi-scale connection in the Feature Pyramid Networks (FPN) algorithm, YOLO-light enables multi-view and integrate features of various scales. With this design, YOLO-light can end-to-end training with low latency and higher average precision. The experiments testify that YOLO-light algorithm reveals satisfactory performance both in speed and accuracy. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Object detection

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Instance-conditional knowledge distillation for object detection 21

Instance-conditional knowledge distillation for object detec...

引用

Proceedings of the 35th International conference on Neural Information processing systems

作者： Zijian Kang Peizhen Zhang xiangyu Zhang Jian Sun Nanning Zheng Xi'an Jiaotong University MEGVII Technology

ISBN: (纸本)9781713845393

Knowledge distillation has shown great success in classification, however, it is still challenging for detection. In a typical image for detection, representations from different locations may have different contributions to detection targets, making the distillation hard to balance. In this paper, we propose a conditional distillation framework to distill the desired knowledge, namely knowledge that is beneficial in terms of both classification and localization for every instance. The framework introduces a learnable conditional decoding module, which retrieves information given each target instance as query. Specifically, we encode the condition information as query and use the teacher's representations as key. The attention between query and key is used to measure the contribution of different features, guided by a localization-recognition-sensitive auxiliary task. Extensive experiments demonstrate the efficacy of our method: we observe impressive improvements under various settings. Notably, we boost RetinaNet with ResNet-50 backbone from 37.4 to 40.7 mAP (+3.3) under 1× schedule, that even surpasses the teacher (40.4 mAP) with ResNet-101 backbone under 3× schedule.

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IMACS: A Framework for Performance Evaluation of image Approximation in a Closed-loop System 8

IMACS: A Framework for Performance Evaluation of Image Appro...

引用

8th Mediterranean conference on Embedded Computing (MECO)

作者： Mohamed, Sajid De, Sayandip Bimpisidis, Konstantinos Nathan, Vishak Goswami, Dip Corporaal, Henk Basten, Twan Eindhoven Univ Technol Elect Syst Grp Eindhoven Netherlands TNO ESI Eindhoven Netherlands

ISBN: (纸本)9781728117393

image processing (IP) applications have become popular with the advent of efficient algorithms and low-cost CMOS cameras with high resolution. However, IP applications are compute-intensive, consume a lot of energy and have long processing times. image approximation has been proposed by recent works for an energy-efficient design of these applications. It also reduces the impact of long processing times. The challenge here is that the IP applications often work as a part of bigger closed-loop control systems, e.g. advanced driver assistance system (ADAS). The impact of image approximations that tolerate certain error on these image-based control (IBC) systems is very important. However, there is a lack of tool support to evaluate the performance of such closed-loop IBC systems when the IP is approximated. We propose a framework - for both software-in-the-loop (SiL) and hardware-in-the-loop (HiL) simulation - for performance evaluation of image approximation on a closed-loop automotive IBC system (IMACS). Both simulation setups model the 3D environment in 3ds Max, and simulate the system dynamics, camera position and environment in V-REP. Our SiL setup simulates the system software in C++ or Matlab. Here, V-REP runs as a server and the software as a client in synchronous mode. Our HiL simulation setup runs the system software in the NVIDIA Drive PX2 platform and communicates to V-REP using application programming interfaces (APIs) for synchronous execution. We show the effectiveness of our framework using a vision-based lateral control example.

关键词： Task analysis IP networks Cameras Pipelines Computational modeling Graphics processing units"

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Circumventing LoS Blocking in Beam-Steered Optical-Wireless systems with Real-Time Tracking and Handover

Circumventing LoS Blocking in Beam-Steered Optical-Wireless ...

引用

Optical Fiber Communication (OFC) conference

作者： Ketema Mekonnen Quan Pham Frans Huijskens Eduward Tangdiongga Ali Mefleh Ton Koonen Institute for Photonic Integration Eindhoven University of Technology Eindhoven The Netherlands KPN CTO Technology Roadmap & Architecture The Hague The Netherlands

This paper demonstrates a real-time user tracking and handover mechanism for indoor ultrahigh-speed beam-steered optical-wireless systems implementing a low-cost camera. This allows us to tackle LoS blocking by switch... 详细信息

ISBN: (数字)9781943580712

ISBN: (纸本)9781728167626

关键词： Beam steering image processing image processing algorithms Laser materials processing Tunable diode lasers Tunable lasers

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A Densely Connected Face Super-Resolution Network Based on Attention Mechanism

A Densely Connected Face Super-Resolution Network Based on A...

引用

IEEE conference on Industrial Electronics and Applications (ICIEA)

作者： Ying Liu Zhanlong Dong Keng Pang Lim Nam Ling Key Laboratory of Electronic Information Application Technology for Scene Investigation Ministry of Public Security Xi'an Shaanxi China Center for Image and Information Processing Xi'an University of Posts & Telecommunications Xi'an China Santa Clara University Santa Clara CA USA

ISBN: (数字)9781728151694

ISBN: (纸本)9781728151700

Super resolution reconstruction of human face is a cost effective way to obtain high resolution images from its corresponding low resolution face. It is also known as face illusion. In order to obtain clearer texture details, this paper proposes a densely connected super-resolution algorithm based on attention mechanism which consists of feature extraction and image reconstruction. By integrating channel and spatial domain information of the feature map, the Multi Attention Domain Module (MADM) is proposed: Features are weighted and recombined by analyzing the relationship between channels and spatial information of feature maps. The features of different layers are fused using dense connections. Experimental results show that the proposed algorithm can improve by up to 0.5dB in PSNR and the reconstructed face image has clearer texture details compared to existing algorithms.

关键词： Industrial electronics conferences Feature extraction Wavelet packets Spatial resolution Faces image reconstruction

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Application Research of Moving Target Detection Based on Optical Flow algorithms 4

Application Research of Moving Target Detection Based on Opt...

引用

2019 4th International conference on Intelligent Computing and Signal processing, ICSP 2019

作者： Lou, Li Liang, Shuo Zhang, Yanyan Department of Computer Science Xi'An Shiyou University Xi'an710065 China

After many years of research, optical flow algorithm has achieved good results in detecting moving objects in simple scenes, but the detection effect in some complex scenes is not ideal, for example, in scenes with changing illumination and large displacement, the accuracy of moving objects detection is low. In order to solve this problem, this paper proposes texture decomposition of images, and applies texture image and pyramid technology to Lucas-Kanade optical flow algorithm. Relevant experiments show that this method can achieve better detection results for moving objects in static scenes. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Textures

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