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

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Technical vision means for butt following systems used in welding fabrication

Technical vision means for butt following systems used in we...

引用

Joint 16th international conference on computer Technology in Welding and Manufacturing and 3rd international conference on Mathematical Modelling and Information Technologies in Welding and Related Processes

作者： Shapovalov, E.V. Kolyada, V.A. E.O. Paton Electric Welding Institute NASU Kiev Ukraine

ISBN: (纸本)9668872053

Control of welding unit positioners consists in formation of control actions for actuators, response to which would guarantee passage by a welding tool of a spacial trajectory with assigned accuracy. If such trajectory is not known in advance, it is advisable to use tracking systems for directing a welding tool at a joint. Three methods of analysis of 3D scenes by technical vision means are known: use of structured illumination, stereo-analysis by means of binocular TV-systems, and determination of a distance pattern by means of scanning distance finders. The method of structured illumination, known as a method of light section, which consists in projection on the surface of items being welded of a narrow light band with its further registration by a video camera, is most widely used. One of shortcomings of the method of light section is its inapplicability for tracking a joint without edge preparation, in which a gap is close to zero. Producers of technical vision means for welding production produce sensors with field of vision only 5 mm for maximum magnification of the image of the butt joint zone. As a result a sensor gets sensitive to the defects of welded surfaces (scratches, flux particles, etc.). At the E.O. Paton EWI a method for tracking a weld without edge preparation is developed. The method is based on mathematical processing of images of welded surfaces illuminated by laser radiation with a wide directivity diagram. This method is applicable for any metal surfaces, allows processing up to 30 frames per second and generating a control signal for each frame. © E.V. SHAPOVALOV and V.A. KOLYADA, 2006.

关键词： Video cameras

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Bio-inspired motion-based object segmentation

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3rd international conference on image Analysis and Recognition

作者： Mota, Sonia Ros, Eduardo Diaz, Javier Agis, Rodrigo de Toro, Francisco Univ Cordoba Dept Informat & Anal Numer E-14071 Cordoba Spain Univ Granada Dept Arquitectura & Tecnol Computadores E-18071 Granada Spain Univ Granada Dept Teoria Senal E-18071 Granada Spain

ISBN: (纸本)3540448918

Although motion extraction requires high computational resources and normally produces very noisy patterns in real sequences, it provides useful cues to achieve an efficient segmentation of independent moving objects. Our goal is to employ basic knowledge about biological vision systems to address this problem. We use the Reichardt motion detectors as first extraction primitive to characterize the motion in scene. The saliency map is noisy, therefore we use a neural structure that takes full advantage of the neural population coding, and extracts the structure of motion by means of local competition. This scheme is used to efficiently segment independent moving objects. In order to evaluate the model, we apply it to a real-life case of an automatic watch-up system for car-overtaking situations seen from the rear-view mirror. We describe how a simple, competitive, neural processing scheme can take full advantage of this motion structure for segmenting overtaking-cars.

关键词： image segmentation

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Pedestrian detection using stereo and biometric information

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3rd international conference on image Analysis and Recognition, ICIAR 2006

作者： Kelly, Philip Cooke, Eddie O'Connor, Noel Smeaton, Alan Centre for Digital Video Processing Adaptive Information Cluster Dublin City University Ireland

ISBN: (纸本)3540448942

A method for pedestrian detection from real world outdoor scenes is presented in this paper. The technique uses disparity information, ground plane estimation and biometric information based on the golden ratio. It can detect pedestrians even in the presence of severe occlusion or a lack of reliable disparity data. It also makes reliable choices in ambiguous areas since the pedestrian regions are initiated using the disparity of head regions. These are usually highly textured and unoccluded, and therefore more reliable in a disparity image than homogeneous or occluded regions. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Stereo vision

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Depth gradient image based on silhouette -: A solution for reconstruction of scenes in 3D environments

Depth gradient image based on silhouette -: A solution for r...

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3rd international conference on Informatics in Control, Automation and Robotics

作者： Merchan, Pilar Adan, Antonio Salamanca, Santiago Univ Extremadura Escuela Engn Ind Avda Elvas S-N E-06071 Badajoz Spain Univ Castilla La Mancha Escuela Super Informat Ciudad Real 13071 Spain Univ Extremadura Escuela Ingn Ind Badajoz 06071 Spain

ISBN: (纸本)9728865600

Greatest difficulties arise in 3D environments when we have to deal with a scene with dissimilar objects without pose restrictions and where contacts and occlusions are allowed. This work tackles the problem of correspondence and alignment of surfaces in such a kind of scenes. The method presented in this paper is based on a new representation model called Depth Gradient image Based on Silhouette (DGI-BS) which synthesizes object surface information (through depth) and object shape information (through contour). Recognition and pose problems are efficiently solved for all objects of the scene by using a simple matching algorithm in the DGI-BS space. As a result of this the scene can be virtually reconstructed. This work is part of a robot intelligent manipulation project. The method has been successfully tested in real experimentation environments using range sensors.

关键词： 3D computer vision reconstruction 3D object recognition range image processing

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The effect of presmoothing image sequences on the computation of optical flow

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3rd international conference on image Analysis and Recognition

作者： Condell, J. V. Scotney, B. W. Morrow, P. J. Univ Ulster Coleraine BT52 1SA Londonderry North Ireland

ISBN: (纸本)3540448918

The computation of optical flow has been proposed as a preprocessing step for many high-level vision algorithms. One of the main approaches to the optical flow problem is the gradient-based approach which differentiates the image intensity to compute the optical flow. Often motion vectors computed using various approaches are not reliable. Spatial smoothing of the image sequence is advisable in order to improve velocity estimates in the presence of noise. That is, the application of some kind of linear operation to the images in the sequence before solving for the flow. The pre-processing typically takes the form of some type of spatial Gaussian smoothing or scale specific band-pass filtering of the input images. The main objectives of such filtering have been to lessen the effects of noise, to isolate image structure of interest and to attenuate temporal aliasing and quantization effects in the input images. This paper investigates the effect of presmoothing on this computation of optical flow. The well known method of Horn and Schnuck as well as our own finite element method are implemented and tested for improvements due to presmoothing. Discussions are provided on the effects of presmoothing for a variety of image sequences. In our experiments, smoothing is carried out on a selection of well known sequences in both time and space. Improvements are shown using presmoothing.

关键词： finite volume methods inverse finite element methods motion tracking optical flow spatial smoothing temporal smoothing

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An active contour model guided by LBP distributions

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8th international conference on Advanced Concepts for Intelligent vision Systems, ACIVS 2006

作者： Savelonas, Michails A. Iakovidis, Dimitris K. Maroulis, Dimitris E. Karkanis, Stavros A. Dept. of Informatics and Telecommunications University of Athens 15784 Athens Greece Dept. of Informatics and Computer Technology Lamia Institute of Technology 3rd Kilometer Old National Road 35100 Lamia Greece

ISBN: (纸本)3540446303

The use of active contours for texture segmentation seems rather attractive in the recent research, indicating that such methodologies may provide more accurate results. In this paper, a novel model for texture segmentation is presented, combining advantages of the active contour approach with texture information acquired by the Local Binary Pattern (LBP) distribution. The proposed LBP scheme has been formulated in order to capture regional information extracted from distributions of LBP values, characterizing a neighborhood around each pixel, instead of using a single LBP value to characterize each pixel. The log-likelihood statistic is employed as a similarity measure between the LBP distributions, resulting to more detailed and accurate segmentation of texture images. © Springer-Verlag Berlin Heidelberg 2006.

关键词： image segmentation

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FPGA implementation of algorithms for road- and airport-traffic image observation

FPGA implementation of algorithms for road- and airport-traf...

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3rd international conference on Computing, Communications and Control Technologies

作者： Halle, Winfried Schlicker, Martin DLR German Aerosp Ctr Opt Informat Syst & Inst Transport Res D-12489 Berlin Germany

ISBN: (纸本)9806560477

For the BMBF founded project of Road-Traffic image Observation (BMBF 03WK J02B) the DLR- Institute for optical information system developed an optical based observation system for the control of roads and traffic, realized by computer vision approaches. Efficient algorithms for robust and fast image processing extract objects, like motor vehicles and non-motorized traffic. The computation algorithms have to be robust for day and night, They have to process the image data in real-time from the observation traffic junctions. Some of theses special algorithms are also suitable for a similar new project for airport monitoring and surveillance, with the goal in the detection of movements of planes.

关键词： traffic observation airport-traffic image processing parallel- and pipeline-based algorithms FPGA algorithm implementation labelling algorithms breadth first search Hoshen-Kopelman

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Reliable image matching via modified Hausdorff distance with normalized gradient consistency measure

Reliable image matching via modified Hausdorff distance with...

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3rd international conference on Information Technology - Research and Technology (ITRE 2005)

作者： Yang, CHT Lai, SH Chang, LW Natl Tsing Hua Univ Dept Comp Sci Hsinchu 300 Taiwan

ISBN: (纸本)0780389328

Reliable image matching is important to many problems in computer vision, image processing and pattern recognition. Hausdorff distance and many of its variations have been employed for image matching with success. In this paper we propose an improved image matching method based on a modified Hausdorff distance with normalized gradient consistency measure. The proposed new image matching algorithm integrates the geometric Hausdorff distance with the photometric intensity gradient information to obtain a better image similarity measure. To show the improvement of the proposed algorithm, we test it with some previous image matching methods on the problem of face recognition under lighting changes. Experimental results show the proposed method produces more accurate face recognition than the previous methods

关键词： face matching face recognition Hausdorff distance modified Hausdorff distance distance measures

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Integrating procedural textures with replicated image editing 05

Integrating procedural textures with replicated image editin...

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GRAPHITE 2005 - 3rd international conference on computer Graphics and Interactive Techniques in Australasia and Southeast Asia

作者： Brooks, Stephen Dodgson, Neu A. Faculty of Computer Science Dalhousie University Halifax Canada Computer Laboratory University of Cambridge Cambridge United Kingdom

ISBN: (纸本)1595932267

image editing software is often characterized by a seemingly endless array of toolbars, filters, transformations and layers. But recently, a counter trend has emerged in the field of image editing which aims to reduce the user's workload through semiautomation. This alternate style of interaction has been made possible through advances in directed texture synthesis and computer vision. And it is in this context that we have developed our texture editing system that allows complex operations to be performed on images with minimal user interaction. This is achieved by utilizing the inherent self-similarity of image textures to replicate intended manipulations globally. In this paper, we expand the capabilities of replicated image editing by integrating procedural texture generation. Copyright © 2005 by the Association for Computing Machinery, Inc.

关键词： image processing

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Fast fourier transform in the spiral honeycomb image algebra

Fast fourier transform in the spiral honeycomb image algebra

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3rd international conference on Information Technology and Applications, ICITA 2005

作者： Sheridan, Phil Alexander, David M. Nunn-Clark, Kelly S. Griffith University QLD University of Technology Sydney NSW Charles Sturt University Bathurst NSW

ISBN: (纸本)0769523161

The Fourier transform is one of the most important transformations in image processing. A major component of this influence comes from the ability to implement it efficiently on a digital computer. This paper describes one such efficient implementation and discusses its implications to digital technology as well as biological vision. The significance of the fast Fourier transform (FFT) presented in this paper is that it provides geometrical meaning to the regrouping of a Cooley-Tukey type FFT. © 2005 IEEE.

关键词： image analysis

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