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共 467 条记录，以下是411-420 订阅

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Fast Fragment Assemblage Using Boundary Line and Surface Matching

Fast Fragment Assemblage Using Boundary Line and Surface Mat...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Georgios Papaioannou Theoharis Theoharis University of Athens (NKUA) Greece Visual Computing Laboratory University of Houston USA

In the recent past, fragment matching has been treated in two different approaches, one using curve matching methods and one that compares whole surfaces or volumes, depending on the nature of the broken artefacts. Presented here is a fast, unified method that combines curve matching techniques with a surface matching algorithm to estimate the positioning and respective matching error for the joining of three-dimensional fragmented objects. Combining both aspects of fragment matching, essentially eliminates most of the ambiguities present in each one of the matching problem categories and helps provide more accurate results with low computational cost.

关键词： Manganese Surface cracks Surface treatment Distance measurement Artificial neural networks conferences computer vision

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An Integrated Learning Framework for recognition Based on Images

An Integrated Learning Framework for Recognition Based on Im...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Xiuwen Liu Anuj Srivastava Department of Statistics Florida State University Tallahassee FL USA Department of Computer Science Florida State University Tallahassee FL USA

While the importance of representations for recognition has been widely recognized, in practice the choice of representations is often limited and applications are forced to choose relatively the best one among the available. In this paper, we advocate an integrated learning framework where the representation is learned with respect to a chosen performance criterion. For linear representations, this problem is posed as an optimization one on the underlying manifold determined by the constraints of the application; manifolds related to typical computer vision applications are given. To develop computationally effective algorithms, the underlying geometric structures are exploited. We demonstrate the feasibility and effectiveness of the proposed framework by finding optimal linear filters for recognition with other additional properties.

关键词： Maximum likelihood detection Nonlinear filters Filtering algorithms Manifolds Gabor filters Classification algorithms Optimization

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Word Extraction Using Area Voronoi Diagram

Word Extraction Using Area Voronoi Diagram

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Zhe Wang Yue Lu Chew Lim Tan Department of Computer Science School of Computing National University of Singapore Singapore

A method of word extraction based on the area Voronoi diagram is presented in this paper. Firstly, connected components are generated from the input image. Secondly, noise removal is performed including a special symbol detection technique to find some types of special symbols lying between words. Thirdly, base on the area Voronoi diagram, we select appropriate Voronoi edges which separate two neighboring connected components. Finally, words are extracted by merging the connected components based on the Voronoi edge between them. The result generated by this method is satisfactory with the ability to correctly group words of different size, font and arrangement. Experiments show that the proposed method achieves a high accuracy.

关键词： Distance measurement Image edge detection Image segmentation pattern recognition Data mining conferences computer vision

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Hierarchical Language-based Representation of Events in Video Streams

Hierarchical Language-based Representation of Events in Vide...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Ram Nevatia Tao Zhao Somboon Hongeng Institute for Robotics and Intelligent Systems University of Southern California Los Angeles CA USA

We aim to define an event ontology that allows natural representation of complex spatio-temporal events common in the physical world by a composition of simpler events. The events are abstracted into three hierarchies. Primitive events are defined directly from the mobile object properties. Single-thread composite events are a number of primitive events with temporal sequencing. Multi-thread composite events are a number of single-thread events with temporal/ spatial/logical relationships. This hierarchical event representation naturally leads to a language description of the events. We define an Event recognition Language (ERL) which allows the users to define the events of interest conveniently without interacting with the low level processing in the program. We will also briefly mention some approaches to compute the proposed representation.

关键词： Mobile communication Humans Hidden Markov models pattern recognition conferences computer vision Distance measurement

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Kernel Pooled Local Subspaces for Classification

Kernel Pooled Local Subspaces for Classification

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Peng Zhang Jing Peng Carlotta Domeniconi Electrical Engineering & Computer Science Department Tulane University New Orleans LA USA ISE Department George Mason University Fairfax VA USA

We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and compare it against several competing techniques: Principal Component Analysis (PCA), Kernel PCA (KPCA), and linear local pooling in classification problems. We evaluate the classification performance of the nearest-neighbor rule with each subspace representation. The experimental results demonstrate the effectiveness and performance superiority of the kernel pooled subspace method over competing methods such as PCA and KPCA in some classification problems.

关键词： Kernel Principal component analysis Eigenvalues and eigenfunctions Training computer vision Glass conferences

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3D Localization with Conical vision

3D Localization with Conical Vision

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Cyril Cauchois Eric Brassart Laurent Delahoche Arnaud Clerentin IUT Département Informatique Center of Robotic Electrotechnic and Automatic Amiens France

This paper deals with an absolute mobile robot self-localization algorithm in an indoor environment. Until now, localization methods based on conical omnidirectional vision sensors uniquely used radial segments from vertical environment landmarks projection. The main motivation of this work is to demonstrate that the SYCLOP sensor can be used as a vision sensor rather than a goniometric one. We will show how the calibration allows us to know the omnidirectional image formation process to compute a synthetic image base. Then, we will present the spatial localization method using a base of synthetics images and one real omnidirectional image. Finally, some experimental results obtained with real noisy omnidirectional images are shown.

关键词： Robots Sensors Correlation Trajectory Estimation Robot sensing systems Mathematical model

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Two Sequential Stages Classifier for Multispectral Data

Two Sequential Stages Classifier for Multispectral Data

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Refaat M Mohamed Aly A Farag Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA

In this paper, we present an approach for the classification of remote sensing multispectral data, which consists of two sequential stages. The first stage exploits the capabilities of the Support Vector Machines (SVM) approach for density estimation and uses it in a Bayes classification setup. In a typical image, the class of a pixel is highly dependent on the classes of its neighbor pixels. The second stage exploits the dependency of the classes. We incorporate this dependency using stochastic modeling of the context as a Markov Random Field (MRF). The MRF is modeled using Besag model and implemented using the Iterative Conditional Modes (ICM) algorithm. Results show that the stochastic modeling approach enhances the results and provides reasonable smoothness in the classified image.

关键词： Support vector machines Estimation Classification algorithms Pixel Density functionional theory Kernel computer vision

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Estimating Tracking Sources and Sinks

Estimating Tracking Sources and Sinks

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Chris Stauffer Artificial Intelligence Laboratory MIT Cambridge MA USA

When tracking in a particular environment, objects tend to appear and disappear at certain locations. These locations may correspond to doors, garages, tunnel entrances, or even the edge of a camera view. A tracking system with knowledge of these locations is capable of improved initialization of tracking sequences, reconstitution of broken tracking sequences, and determination of tracking sequence termination. Further, knowledge of these locations is useful for activity-level descriptions of tracking sequences and for understanding relationships between non-overlapping camera views. This paper introduces a method for simultaneously solving these coupled problems: inferring the parameters of a source and sink model for a scene; and fixing broken tracking sequences and other tracking failures. A model selection criterion is also explained which allows determination of the number of sources and sinks in an environment. Results in multiple environments illustrate the effectiveness of this method.

关键词： Hidden Markov models Cameras Computational modeling conferences computer vision pattern recognition Maximum likelihood estimation

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Towards Perceptual Interface for Visualization Navigation of Large Data Sets

Towards Perceptual Interface for Visualization Navigation of...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Min C. Shin Leonid V. Tsap Dmitry B. Goldgof Electronics Engineering Department Lawrence Livemore National Laboratory Livermore CA USA Department of CS&E University of South Florida Tampa FL USA Department of Computer Science UNC-Charlotte Charlotte NC USA

This paper presents a perceptual interface for visualization navigation using gesture recognition. Scientists are interested in developing interactive settings for exploring large data sets in an intuitive environment. The input consists of registered 3-D data. Bezier curves are used for trajectory analysis and classification of gestures. The method is robust and reliable: correct hand identification rate is 99.9% (from 1641 frames), modes of hand movements are correct 95.6% of the time, recognition rate (given the right mode) is 97.9%. An application to gesture-controlled visualization is also presented. The paper advances the state-of-the-art of human-computer interaction with a robust attachment- and marker-free gestural information processing for visualization.

关键词： Trajectory Data visualization Skin pattern recognition conferences computer vision Distance measurement

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Rendering novel views from a set of omnidirectional mosaic images

Rendering novel views from a set of omnidirectional mosaic i...

引用

IEEE computer Society conference on computer vision and pattern recognition workshops (cvprw)

作者： Hynek Bakstein Tomas Pajdla Center for Machine Perception Department of Cybernetics Faculty of Electrical Engineering Czech Technical University Prague Czech Republic

We present an approach to rendering stereo pairs of views from a set of omnidirectional mosaic images allowing arbitrary viewing direction and vergence angle of two eyes of a viewer. Moreover, we allow the viewer to move his head aside to see behind occluding objects. We propose a representation of the scene in a set of omnidirectional mosaic images composed from a sequence of images acquired by an omnidirectional camera equipped with a lens with a field of view of 183°. The proposed representation allows fast access to high resolution mosaic images and efficient representation in the memory. The proposed method can be applied in a representation of a real scene, where the viewer is supposed to stand at one spot and look around.

关键词： Cameras Image generation Head Pixel Image resolution conferences Stereo vision

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