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检索条件"任意字段=3rd International Conference on Computer Vision and Image Processing, CVIP 2018"

共 1672 条记录，以下是1281-1290 订阅

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Depth image Layers Separation (DILS) algorithm of image view synthesis based on stereo vision

Depth Image Layers Separation (DILS) algorithm of image view...

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2013 3rd IEEE international conference on Signal and image processing Applications, IEEE ICSIPA 2013

作者： Manap, Nurulfajar Abd Soraghan, John J. Petropoulakis, Lykourgos Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka Durian Tunggal 76100 Melaka Malaysia Electronic and Electrical Engineering Department University of Strathclyde Glasgow United Kingdom

ISBN: (纸本)9781479902675

A new Depth image Layers Separation (DILS) algorithm for synthesizing inter-view images based on disparity depth map layers representation is presented. The approach is to separate the depth map into several layers identified through histogram-based clustering. Each layer is extracted using inter-view interpolation to create objects based on location and depth. DILS is a new paradigm in selecting interesting image locations based on depth, but also in producing new image representations that allow objects or parts of an image to be described without the need of segmentation and identification. The image view synthesis can reduce the configuration complexity of multi-camera arrays in 3D imagery and free-viewpoint applications. The simulation results show that depth layer separation is able to create inter-view images that may be integrated with other techniques such as occlusion handling processes. The DILS algorithm can be implemented using both simple as well as sophisticated stereo matching methods to synthesize inter-view images. © 2013 IEEE.

关键词： Stereo vision

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HYBRID FACE DETECTION WITH SKIN SEGMENTATION AND EDGE DETECTION

HYBRID FACE DETECTION WITH SKIN SEGMENTATION AND EDGE DETECT...

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3rd IEEE international conference on Signal and image processing Applications (ICSIPA)

作者： See, Yuen Chark Noor, Norliza Mohd Lai, An Chow Univ Tunku Abdul Rahman Fac Sci & Engn Kuala Lumpur Malaysia Univ Teknol Malaysia UTM Razak Sch Engn & Adv Technol Kuala Lumpur Malaysia

ISBN: (纸本)9781479902699;9781479902675

Face detection for low quality images and different face positions is a very challenging task. This paper presents a hybrid method for face detection to these problems. The algorithm starts with image resizing process followed by the Gaussian Mixture Model to calculate the skin likelihood value of pixel in an image. Then, the skin regions are extracted from the background with a proper threshold value obtained adaptively based on image information. This study developed an algorithm to performed face location and detection. This study used face database from University of Ljubljana (Slovenia) computer vision Laboratory (CVL), which contains seven 2D images corresponding to 114 different individuals, to evaluate the proposed system. The resolution of the images is 640*480 pixels. Another database, the Bao database which consists of 157 images with image resolutions within 57x85 pixels and 300 x 300 pixels is chosen. The detection accuracy for frontal face and side face images on CVL database is 94.4% and 84.7% respectively. The detection accuracy on Bao database is 93.6%.

关键词： Gaussian processes face recognition image resolution mixture models skin visual databases

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Multi-Level View Synthesis (MLVS) based on Depth image Layer Separation (DILS) algorithm for multi-camera view system

Multi-Level View Synthesis (MLVS) based on Depth Image Layer...

引用

2013 3rd IEEE international conference on Signal and image processing Applications, IEEE ICSIPA 2013

ISBN: (纸本)9781479902675

A novel Multi-Level View Synthesis (MLVS) approach for 3D vision and free-viewpoint video applications, such as light field imaging, is presented. MLVS exploits the advantages of Depth image Layer Separation (DILS), a new inter-view interpolation algorithm, by extending stereo to multiple camera configurations. The technique finds the pixel correspondences and synthesis through two levels of matching and synthesis process. The main aim of MLVS is to create a multi-camera view system through a reduced number of actual image acquisition cameras, whilst maintaining the quality of the virtual view synthesis images. The proposed technique is shown to offer improved performance and provide additional views with fewer cameras compared to conventional high volume camera configurations for free-viewpoint video acquisition. Thus, substantial cost savings can ensue in processing, calibration, bandwidth and storage requirements. © 2013 IEEE.

关键词： Cameras

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Improved strategy of QP decision for hierarchical B pictures structure in SVC

Improved strategy of QP decision for hierarchical B pictures...

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The 2013 3rd international conference on Photonics and image in Agriculture Engineering (PIAGENG 2013)

作者： Jing Luna Ma Lini Zhang Chaofu Dept.of Computer Science Beijing Information Science & Technology Univ.

ISBN: (纸本)9780819495587

In Scalable Video Coding(SVC) the coding efficiency for hierarchical prediction structures is highly dependent on how to choose the quantization parameters(QP) for pictures of different temporal layers. For pictures that have strong temporal correlation and pictures at low bitrate, large peak SNR(PSNR) fluctuations will be produced when using the strategy presented in the proposal JVT-P014. In order to decrease the fluctuations this paper proposed a new method which combines the persistence of vision to decrease the fluctuations of the video quality. Simulated results show that the proposed technique is efficient. When compared with the method in the proposal JVT-P014, the PSNR difference decreases is about 20%, and it is more effectively for the pictures with strong temporal correlation. The algorithm in this paper provides valuable references for further study of optimizing encoder.

关键词： SVC Hierarchical B pictures Quantization parameters

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Soda casket inspection system by computer vision

Soda casket inspection system by computer vision

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2012 3rd international conference on Manufacturing Science and Technology, ICMST 2012

作者： Orachon, Teerapong Intani, Pattana Department of Electrical Engineering Pathumwan Institute of Technology Bangkok 833 RAMA 1 Road Thailand

ISBN: (纸本)9783037855638

Referred to the problem a manufacturer always faces that bottles in a casket are missing, caused by the bottles leaning down. Checking the parceling by human causes high risk from the explosion of the lean-down bottles. So this article presents how computer vision is applied to the inspection system. The system used a low-price webcam and image processing method to identify the defection. The process begins with adjusting HSV up before working on edge detection to reduce density of data. Then cross correlation as template matching to define the bottles and check the number of soda bottles. This system can identify 84% of completely loaded casket and 100% of the missing loaded casket. © (2013) Trans Tech Publications, Switzerland.

关键词： Edge detection

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Quantification and analysis of large multimodal clinical image studies: Application to stroke

Quantification and analysis of large multimodal clinical ima...

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3rd international Workshop on Multimodal Brain image Analysis, MBIA 2013, Held in Conjunction with the 16th international conference on Medical image Computing and computer Assisted Intervention, MICCAI 2013

作者： Sridharan, Ramesh Dalca, Adrian V. Fitzpatrick, Kaitlin M. Cloonan, Lisa Kanakis, Allison Wu, Ona Furie, Karen L. Rosand, Jonathan Rost, Natalia S. Golland, Polina Computer Science and Artificial Intelligence Lab. MIT United States Department of Neurology Massachusetts General Hospital Harvard Medical School United States Department of Neurology Rhode Island Hospital Alpert Medical School of Brown University United States

ISBN: (纸本)9783319021256

We present an analysis framework for large studies of multimodal clinical quality brain image collections. processing and analysis of such datasets is challenging due to low resolution, poor contrast, misaligned images, and restricted field of *** adapt existing registration and segmentation methods and build a computational pipeline for spatial normalization and feature extraction. The resulting aligned dataset enables clinically meaningful analysis of spatial distributions of relevant anatomical features and of their evolution with age and disease progression. We demonstrate the approach on a neuroimaging study of stroke with more than 800 patients. We show that by combining data from several modalities, we can automatically segment important biomarkers such as white matter hyperintensity and characterize pathology evolution in this heterogeneous cohort. Specifically, we examine two sub-populations with different dynamics of white matter hyperintensity changes as a function of patients' age. Pipeline and analysis code is available at http://***. ***/vision/medical-vision/stroke/. © 2013 Springer international Publishing.

关键词： Pipelines

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Research on mean shift algorithm

Research on mean shift algorithm

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3rd international conference on Materials Science and Information Technology, MSIT 2013

作者： Zhao, Yi Zhi Wang, Huan Yin, Guo Cai Adult Education College North China Institute Of Aerospace Engineering LanfFang 065000 China Science and Technology division North China Institute Of Aerospace Engineering LanfFang 065000 China Dean's Office North China Institute Of Aerospace Engineering LanfFang 065000 China

ISBN: (纸本)9783037857700

computer vision is a diverse and relatively new field of study. Object tracking plays a crucial role as a preliminary step for high-level image processing in the field of computer vision. However, mean shift algorithm in the target tracking has some defects, such as: the application of fixed bandwidth for probability density estimation usually causes lack of smooth or too smooth;moving target often appears partial occlusion or complete occlusion due to the complexity of the background;background pixels in object model will induce localization error of object tracking, and so on. Therefore, this paper elaborates several elegant algorithms to solve some of the problems. After discussing the application of Mean shift in the field of target tracking, this paper presented an improved Mean shift algorithm by combining Mean Shift and Kalman Filter. © (2013) Trans Tech Publications, Switzerland.

关键词： computer vision

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Advances in Visual Informatics - Third international Visual Informatics conference, IVIC 2013, Proceedings

Advances in Visual Informatics - Third International Visual ...

引用

3rd international Visual Informatics conference, IVIC 2013

ISBN: (纸本)9783319029573

The proceedings contain 71 papers. The topics discussed include: a conversational collaborative filtering approach to recommendation;orthogonal nonnegative matrix factorization for blind image separation;a hybrid robust image watermarking scheme using integer wavelet transform, singular value decomposition and Arnold transform;near-optimal Moire grating for chaotic dynamic visual cryptography;integrated communication for truck monitoring in solid waste collection systems;a geometrical approach for age-invariant face recognition;face verification using multiple localized face features;adaptive motion pattern analysis for machine vision based moving detection from UAV aerial images;a simple standalone sign based recognition translator without using super computer processing;enhanced image super-resolution technique using convolutional neural network;comparison of edge detection technique for lane analysis by improved Hough transform;performances of invariant feature detectors in real-time video applications;and fast and efficient video completion using object prior position.

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image inpainting base on color differences and structure differences

Image inpainting base on color differences and structure dif...

引用

international conference on computer Science and Network Technology (ICCSNT)

作者： Yongsheng Xu Shuwen Wang Electric Engineering Department Northwest University for Nationalities Lanzhou Gansu China

ISBN: (纸本)9781479905607

The quality of the repaired image will be directly influenced by the error accumulation of initial repaired for the target block in the exemplar-based algorithm. According to analysis of the pixel's surrounding image features, a new algorithm which joint structure characteristics and color differences is proposed in this paper. This algorithm considers the color differences and structure characteristics simultaneous, the experimental results show that the repaired image's vision quality can be increased effectively.

关键词： image color analysis Maintenance engineering Algorithm design and analysis Signal processing algorithms Educational institutions computers Optimization

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Hub eccentricity measurement based on machine vision

Hub eccentricity measurement based on machine vision

引用

2013 3rd international conference on Advanced Measurement and Test, AMT 2013

作者： Rui, Han Zhang, Feng Ling Guo, Shu Xia Yin, Peng Wang, Lei Dept. of Mechanical and Electrical Engineering Xiamen University Xiamen 361005 China

ISBN: (纸本)9783037857168

In this investigation, a measurement system based on machine vision applied for auto-hub's eccentricity between the center hole and the pitch circle of bolt holes was proposed. The measurement system was integrated by a CCD camera with a telecentric lens, a diffuse bright-field back light illumination system, a rotating platform, a rotating encoder and an industrial computer. The camera was fixed at a suitable location from the rotation center, which ensured that one bolt hole and a part of the center hole could appear in its visual field. All bolt holes were shot when the auto-hub was rotating, while a rotary encoder recorded these angles. Then a global image of the auto-hub could be tiled by these pictures. An image-processing algorithm integrating morphology, circle fitting, affine transformation and edge extracting was used to measure the auto-hub's eccentricity. According to the measurement of a standard block that had 50um-eccentricity and was manufactured by WEDM-LS (Wire Cut Electrical Discharge Machining-Low Speed), the maximum deviation between measuring value and real value was less than 0.013mm, eccentricity's standard deviation was 0.0035mm and the standard deviation of eccentricity's direction angle was 2.37°. Meanwhile the experimental data of real auto-hubs gave an eccentricity's standard deviation less than 0.013mm and a direction angle's standard deviation less than 2.1°. © 2013 Trans Tech Publications, Switzerland.

关键词： CCD cameras

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