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检索条件"任意字段=Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing"

共 557 条记录，以下是421-430 订阅

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An information-theoretic approach to active vision

An information-theoretic approach to active vision

引用

International conference on image Analysis and processing

作者： G. Boccignone M. Ferraro T. Caelli Dipartimento di Ingegneria dell'Informazione e Ingegneria Elettrica and INFM Universitá di Salerno Fisciano Salerno Italy Dipartimento di Fisica Sperimentale and INFM Universitá di Torino Torino Italy Department of Computing Science University of Alberta Edmonton AB Canada

An approach to active vision based on information theory and statistical mechanics is presented. Density of entropy production measured along a spatio-chromatic diffusion of a colour image is used to build a conspicuity map of the image. the map is successively given as input to a dynamic neural network in order to drive a focus-of-attention scanpath.

关键词： computer vision Layout Production Entropy image edge detection Density measurement Neural networks Focusing Machine vision image analysis

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Spatial clustering of pixels in the mouth area of face images

Spatial clustering of pixels in the mouth area of face image...

引用

International conference on image Analysis and processing

作者： M. Sadeghi J. Kittler K. Messer Centre for Vision Sbeech and Signal Processing School of Electronics: Computing and Mathematics University of Surrey Guildford UK

We propose a method of image segmentation using a Gaussian mixture model of the colour image histogram. the model construction is based on the model validation philosophy of architecture selection (Kittler et al., 2001). In contrast with the k-means clustering approach, the number of segments in the proposed scheme is determined completely automatically. We show that the modelling method can be strengthened by incorporating spatial contextual information. the proposed approach speeds up the modelling process by a factor of three. the advocated methodology is successfully applied to the problem of lip pixel segmentation in face images.

关键词： Pixel Mouth Face detection image segmentation computer vision computer architecture Shape Covariance matrix Signal processing Mathematics

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Detection and description of human running behaviour in sports video multimedia database

Detection and description of human running behaviour in spor...

引用

International conference on image Analysis and processing

作者： Fangxiang Cheng W.J. Christmas J. Kittler Centre for Vision Speech and Signal ProcessinGS School of Electronics Computing and Mathematics University of Surrey Guildford Surrey UK

ISBN: (纸本)076951183X

Motion description is an example of high-level video processing. It is attracting increasing interest in the computer vision community, due to its wide spectrum of applications. In such applications as multimedia database systems, motion descriptors act as a high-level query tool. We propose a periodic motion detection and description algorithm. We demonstrate that the descriptor extracted by the algorithm can characterise the human running behaviour. It can also serve as a basis for the classification of the human running activity. Experimental results based on Barcelona Olympic Games image sequences show the benefits of the proposed algorithm.

关键词： Humans Multimedia databases Motion detection Motion analysis image sequences image reconstruction Biological system modeling computer vision Application software Signal processing algorithms

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A fast recursive algorithm for the computation of axial moments

A fast recursive algorithm for the computation of axial mome...

引用

International conference on image Analysis and processing

作者： R.M. Palenichka M.B. Zaremba C. Valenti University of Quebec Hull QUE Canada University of Palermo Palermo Italy

this paper describes a fast algorithm to compute local axial moments used for the detection of objects of interest in images. the basic idea is grounded on the elimination of redundant operations while computing axial moments for two neighboring angles of orientation. the main result is that the complexity of recursive computation of axial moments becomes independent of the total number of computed moments in a given point, i.e. it is of the order O(N) where N is the data size. this result is of great importance in computer vision since many feature extraction methods are based on the computation of axial moments. the experimental results confirm the time complexity and accuracy predicted by the theoretical analysis.

关键词： Shape image analysis Computational complexity computer vision Skeleton image segmentation Computational efficiency Surface fitting Object detection Feature extraction

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A flexible algorithm for image matching

A flexible algorithm for image matching

引用

International conference on image Analysis and processing

作者： F. Odone E. Trucco A. Verri INFM-DISI Università di Genova Genoa Italy Department of Computing and Electrical Engineering Heriot-Watt University Edinburgh UK

We propose a method for measuring the similarity between grey level images. the method is able to match images successfully even in the presence of small geometric deformations, illumination changes, and severe occlusions. It fits naturally an implementation based on a comparison of data structures which requires no numerical computations. the range of its applications is vast, and in particular it is a useful tool for object detection and iconic search. We present very good results on real images with and without occlusions, and a qualitative comparative study with a well-known correlation method.

关键词： image matching Correlation Stereo vision Lighting Data structures Application software Object detection computer vision Object recognition Layout

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2D shape recognition by hidden Markov models

2D shape recognition by hidden Markov models

引用

International conference on image Analysis and processing

作者： M. Bicego V. Murino Dipartimento di Infomatica Universita di Verona Verona Italy

In computer vision, two-dimensional shape classification is a complex and well-studied topic, often basic for three-dimensional object recognition. Object contours are a widely chosen feature for representing objects, useful in many respects for classification problems. We address the use of hidden Markov models (HMM) for shape analysis, based on chain code representation of object contours. HMM represent a widespread approach to the modeling of sequences, and are largely used for many applications, but unfortunately are poorly considered in the literature concerning shape analysis, and in any case, without reference to noise or occlusion sensitivity. the HMM approach to shape modeling is tested, probing good invariance of this method in terms of noise, occlusions, and object scaling.

关键词： Hidden Markov models Object recognition Noise shaping Active shape model computer vision Testing Speech recognition Character recognition Active noise reduction image databases

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Circle detection based on orientation matching

Circle detection based on orientation matching

引用

International conference on image Analysis and processing

作者： M. Ceccarelli A. Petrosino G. Laccetti University of Sannio Benevento Italy CPS National Research Council Naples Italy University of Naples Federico II Naples Italy

the paper reports a correlation-based method for the detection of circular objects which is capable of overcoming well-known problems arising by the use of gradient-based voting schemes. Specifically, the method is: (a) capable of detecting circular objects on the basis of both magnitude and direction of the image gradient; and (b) of dealing with three-dimensional spherical objects by considering shadows depending on the direction of light. Experimental results about the accuracy of the method and comparisons with the Hough transform and the Hausdorff matching are reported.

关键词： image edge detection Object detection Shape Voting Councils computer vision Inspection Detectors Filtering Noise shaping

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Maximum likelihood motion segmentation using eigendecomposition

Maximum likelihood motion segmentation using eigendecomposit...

引用

International conference on image Analysis and processing

作者： A. Robles-Kelly E.R. Hancock Department of Computer Science University of York York UK

ISBN: (纸本)076951183X

this paper presents an iterative maximum likelihood framework for motion segmentation. Our representation of the segmentation problem is based on a similarity matrix for the motion vectors for pairs of pixel blocks. By applying eigendecomposition to the similarity matrix, we develop a maximum likelihood method for grouping the pixel blocks into objects which share a common motion vector. We experiment with the resulting clustering method on a number of real-world motion sequences. Here ground truth data indicates that the method can result in motion classification errors as low as 3%.

关键词： Motion segmentation computer vision Maximum likelihood detection Maximum likelihood estimation Clustering algorithms Motion estimation Object detection Motion control computer science Clustering methods

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Modeling dense range images through fast polygonal approximations

Modeling dense range images through fast polygonal approxima...

引用

International conference on image Analysis and processing

作者： H. Pedrini Department of Computer Science Federal University of Paraná (UFPR) Curitiba Parana Brazil

A method for approximating range images by integrating triangular meshes and curvature information is presented. First, an adaptive filtering technique is applied to the original range image based on estimations of the surface curvature. this produces a collection of 3D points, which are triangulated in order to produce an initial mesh. the mesh is then refined through an efficient Delaunay triangulation algorithm. A new local error measure is used to select points to be inserted into the triangulation. Points tend to scatter in planar areas and to concentrate in high variation areas. the method allows representations to be retrieved at variables levels of accuracy, providing a natural way of multiresolution modeling. Some experimental results are presented to show that the proposed technique is effective to represent range images.

关键词： Spatial resolution Layout Sensor arrays computer science Scattering computer vision Application software Adaptive filters

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Intermediate representation in model based recognition using straight line and ellipsoidal arc primitives

Intermediate representation in model based recognition using...

引用

International conference on image Analysis and processing

作者： S. Nedevschi T. Marita D. Puiu Technical University of Cluj Napoca Romania

An intermediate representation suitable for the 2D recognition of 3D objects, from a single intensity image is proposed. Determination of the intermediate representation from CAD models and from intensity images is presented. this representation uses as primitives line segments and ellipsoidal arcs. A complete technique for fitting contour lines with these primitives has been developed. the method has been proved very accurate and robust to noise, thus it is suited for a variety of applications such as matching and recognition of objects in real-life images.

关键词： image segmentation image recognition Layout Noise robustness Fitting Feature extraction Object detection computer vision Geometry Manufacturing

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