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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431-440 订阅

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Model tracking for video-based virtual reality

Model tracking for video-based virtual reality

引用

International conference on image Analysis and processing

作者： A. Valinetti A. Fusiello V. Murino Dipartimento di Informatica Università degli Studi di Verona Verona Italy

this paper presents a technique for tracking complex objects (both polyhedral and smooth boundaries) in a monocular sequence. Our aim is to use this model tracking method in an augmented reality context to compute the pose of a real object to be able to register it with a synthetic one. A scalar score function for an object pose is defined, based on the local image gradient along the projected model boundaries. A local search is then carried out in the configuration space of the pose to maximize the score. this technique is robust to occlusions, since the whole object contour is used, not just a few control points. the proposed method is effective yet simple. No image feature extraction is necessary and no complex temporal evolution is used. Experimental results with a real sequence show the good performance of our technique.

关键词： Virtual reality Cameras Feature extraction Context modeling Augmented reality computer displays Optical computing Registers Robust control graphics

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Automatic features detection for overlapping face images on their 3D range models

Automatic features detection for overlapping face images on ...

引用

International conference on image Analysis and processing

作者： R. Lanzarotti P. Campadelli N.A. Borghese Dipartimento di Scienze dell'Informazione Università degli Studi di Milano Milan Italy INB Laboratory Human Motion Analysis and Virtual Reality CNR Italy

We describe an algorithm for automatic features detection in 2D color images of human faces. the algorithm proceeds with subsequent refinements. First, it identifies the sub-images containing each feature (eyes, nose and lips). Afterwards, it processes the single features separately by a blend of techniques which use both color and shape information. the method does not require any manual setting or operator intervention.

关键词： Face detection computer vision Shape Color Lips Eyes Nose Humans Cameras Costs

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A robust eigendecomposition framework for inexact graph-matching

A robust eigendecomposition framework for inexact graph-matc...

引用

International conference on image Analysis and processing

作者： B. Luo E.R. Hancock Department of Computer Science University of York UK Anhui University China

ISBN: (纸本)076951183X

Graph-matching is a task of pivotal importance in high-level vision since it provides a means by which abstract pictorial descriptions can be matched to one another. this paper describes an efficient algorithm for inexact graph-matching. the method is purely structural, that is to say it uses only the edge or connectivity structure of the graph and does not draw on node or edge attributes. We make two contributions. Commencing from a probability distribution for matching errors, we show how the problem of graph-matching can be posed as maximum likelihood estimation using the apparatus of the EM algorithm. Our second contribution is to cast the recovery of correspondence matches between the graph nodes in a matrix framework. this allows us to efficiently recover correspondence matches using singular value decomposition. We experiment with the method on both real-world and synthetic data. Here we demonstrate that the method offers comparable performance to more computationally demanding methods.

关键词： Robustness Probability distribution Matrix decomposition Singular value decomposition Graph theory computer science computer vision image segmentation Entropy Energy measurement

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Text enhancement with asymmetric filter for video OCR

Text enhancement with asymmetric filter for video OCR

引用

International conference on image Analysis and processing

作者： Datong Chen K. Shearer H. Bourlard Dalle Molle Institute for Perceptual Artificial Intelligence Martigny Switzerland

ISBN: (纸本)076951183X

Stripes are common sub-structures of text characters, and the scale of these stripes varies little within a word. this scale consistency thus provides us with a useful feature for text detection and segmentation. A new form of filter is derived from the Gabor filter, and it is shown that this filter can efficiently estimate the scales of these stripes. the contrast of text in video can then be increased by enhancing the edges of only those stripes found to correspond to a suitable scale. More specifically the algorithm presented here enhances the stripes in three pre-selected scale ranges. the resulting enhancement yields much better performance from the binarization process, which is the step required before character recognition.

关键词： Optical character recognition software image edge detection Video compression Gabor filters Character recognition Colored noise Pixel computer vision image recognition image segmentation

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Discriminant basis for object classification

Discriminant basis for object classification

引用

International conference on image Analysis and processing

作者： D. Guillamet J. Vitria Centre de visió per Computador Department Informàtica Universitat Autònoma Barcelona Barcelona Spain Centre de visi6 per Computador Department Informhtica Universitat Autònoma Barcelona Barcelona Spain

this paper presents a technique to obtain a discriminant basis set in an unsupervised way. A non-negative matrix factorization (NMF) is applied over a set of color newspapers to obtain a reduced space considering only positive constraints. this method is compared with the well-known principal component analysis (PCA), obtaining promising results in the task of representing independent behaviors of the input data. With this methodology, we are able to find an ordered list of the basis functions, with it being possible to select some of them for a further discriminant task. Moreover the method can also be applied to the task of automatically extracting object classes from a set of objects.

关键词： Principal component analysis Object recognition Geometry Lighting Data mining computer vision Artificial intelligence image recognition image color analysis Solid modeling

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A semi-direct approach to structure from motion

A semi-direct approach to structure from motion

引用

International conference on image Analysis and processing

作者： P. Favaro Hailin Jin S. Soatto Electrical Engineering Washington University Saint Louis MO USA Washington University Saint Louis USA Los Angeles Computer Science University of California Los Angeles CA USA

Reconstructing three-dimensional structure and motion is often decomposed into two steps: point feature correspondence and three-dimensional reconstruction. this separation often causes gross errors since correspondence relies on the brightness constancy constraint that is local in space and time. therefore, we advocate the necessity to integrate visual information not only in time (i.e. across different views), but also in space, by matching regions-rather than points-using explicit photometric deformation models. We present an algorithm that integrates 2D region tracking and 3D motion estimation into a closed loop based on an explicit geometric and photometric model, while detecting and rejecting outlier regions that do not fit the model. Our algorithm is recursive and suitable for real-time implementation. Our experiments show that it far exceeds the accuracy and robustness of point feature-based SFM algorithms.

关键词： Photometry Motion estimation Layout Delay estimation image reconstruction Solid modeling Robustness Geometry Shape control Rendering (computer graphics)

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引用

International conference on image Analysis and processing

作者： M. Kano S. Yasuhara S. Kato H. Itohi Dept. of Intelligence & Comput. Sci. Nagoya Inst. of Technol. Japan Department of Intelligence and Computer Science Nagoya Institute of Technology Nagoya Japan Department of Electrical and Electronic Engineering Toyota National College of Technology Toyota Japan

this paper proposes an earthenware reconstruction system, which can automatically reconstruct some earthenware from numerous given potsherds in two-dimensional grayscale images. the system supposes that given potsherds are thin and moderately flat and small. Some earthenware having three-dimensional shape, such as crocks, can be reconstructed by the system within the supposition. the system performs earthenware reconstruction through two phases. At the first phase, potsherds are joined automatically in two dimensions. An efficient joint detection algorithm using surface pattern and shape similarity is proposed at this phase. At the second phase, three-dimensional shape is recovered by an adequate three-dimensional transformation. Some experimental results of reconstruction from numerous potsherds are also reported.

关键词： image reconstruction Shape Surface reconstruction computer science Educational institutions Gray-scale Phase detection Cultural differences computer vision Detection algorithms

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A local color descriptor for efficient scene-object recognition

A local color descriptor for efficient scene-object recognit...

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International conference on image Analysis and processing

作者： E. Bigorgne C. Achard J. Devars Laboratoire des Instruments et Systèmes d'ile de France Université Pierre et Marie Curie Paris France Laboratoire des Instruments et Systèmes d'ile de France Université Pierre et Marie Curie France

this paper presents an effective use of local descriptors for object or scene recognition and indexing. this approach is in keeping with model-based recognition systems and consists of an extension of a standard point-to-point matching between two images. Aiming at this, we address the use of Full-Zernike moments as a reliable local characterization of the image signal. A fundamental characteristic of the used descriptors is then their ability to "absorb" a given set of potential image modifications. their design calls principally for the theory of invariants. A built-in invariance to similarities allows one to manage narrow bounded perspective transformations. Moreover we provide a study of the substantial and costless contribution of the use of color information. In order to achieve photometric invariance, different types of normalization are evaluated through a model-based object recognition task.

关键词： Layout image recognition image databases Photometry Object recognition computer vision Instruments Indexing Application software Content management

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Detecting objects, shadows and ghosts in video streams by exploiting color and motion information

Detecting objects, shadows and ghosts in video streams by ex...

引用

International conference on image Analysis and processing

作者： R. Cucchiara C. Grana M. Piccardi A. Prati D.S.I. University of Modena and Reggio Emilia and INFM Modena Italy Dipartimento Ingegneria University of Ferrara Ferrara Italy

ISBN: (纸本)076951183X

Many approaches to moving object detection for traffic monitoring and video surveillance proposed in the literature are based on background suppression methods. How to correctly and efficiently update the background model and how to deal with shadows are two of the more distinguishing and challenging features of such approaches. this work presents a general-purpose method for segmentation of moving visual objects (MVO) based on an object-level classification in MVO, ghosts and shadows. Background suppression needs the background model to be estimated and updated: we use motion and shadow information to selectively exclude from the background model MVO and their shadows, while retaining ghosts. the color information (in the HSV color space) is exploited to shadow suppression and, consequently, to enhance both MVO segmentation and background update.

关键词： Object detection Motion detection Streaming media Layout Video surveillance computer vision Application software Object segmentation Computational modeling Monitoring

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A hierarchical framework for modal correspondence matching

A hierarchical framework for modal correspondence matching

引用

International conference on image Analysis and processing

作者： M. Carcassoni E.R. Hancock Department of Computer Science University of York York UK

the modal correspondence method of L.S. Shapiro and J.M. Brady (see image and vision Computing, vol.10, p.283-8, 1992) aims to match point-sets by comparing the eigenvectors of a pairwise point proximity matrix. Although elegant by means of its matrix representation, the method is notoriously susceptible to differences in the relational structure of the point-sets under consideration. We demonstrate how the method can be rendered robust to structural differences by adopting a hierarchical approach. We place the modal matching problem in a probabilistic setting in which the arrangement of pairwise clusters can be used to constrain the individual point correspondences. We commence by using an iterative pairwise clustering method which can be applied to locate the main structure in the point-sets under study. Once we have located point clusters, we compute within-cluster and between-cluster proximity matrices. the modal coefficients for these two sets of proximity matrices are used to compute the probabilities that the detected cluster-centres are in correspondence and also the probabilities that individual points are in correspondence. We develop an evidence-combining framework which draws on these two sets of probabilities to locate point correspondences. In this way, the arrangement of the cluster-centre correspondences constrain the individual point correspondences.

关键词： Robustness Pattern matching Iterative methods Clustering methods Modal analysis Graph theory Matrix decomposition Singular value decomposition Jitter image segmentation

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