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检索条件"任意字段=26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR"

共 1569 条记录，以下是1161-1170 订阅

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Classification and evaluation of cost aggregation methods for stereo correspondence

Classification and evaluation of cost aggregation methods fo...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.8

作者： Federico Tombari Stefano Mattoccia Luigi Di Stefano Elisa Addimanda Advanced Research Center on Electronic Systems (ARCES) University of Bologna Italy Universita di Bologna Bologna Emilia-Romagna IT

In the last decades several cost aggregation methods aimed at improving the robustness of stereo correspondence within local and global algorithms have been proposed. Given the recent developments and the lack of an appropriate comparison, in this paper we survey, classify and compare experimentally on a standard data set the main cost aggregation approaches proposed in literature. the experimental evaluation addresses both accuracy and computational requirements, so as to outline the best performing methods under these two criteria.

关键词： Cost function Computational efficiency Robustness Performance evaluation Computational complexity computer science Standards development Pixel Taxonomy Belief propagation

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Robust Estimation of Gaussian Mixtures from Noisy Input Data

Robust Estimation of Gaussian Mixtures from Noisy Input Data

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.3

作者： Shaobo Hou Aphrodite Galata School of Computer Science University of Manchester Institute of Science and Technology UK

We propose a variational bayes approach to the problem of robust estimation of gaussian mixtures from noisy input data. the proposed algorithm explicitly takes into account the uncertainty associated with each data point, makes no assumptions about the structure of the covariance matrices and is able to automatically determine the number of the gaussian mixture components. through the use of both synthetic and real world data examples, we show that by incorporating uncertainty information into the clustering algorithm, we get better results at recovering the true distribution of the training data compared to other variational bayesian clustering algorithms.

关键词： Robustness Gaussian noise Clustering algorithms Uncertainty Bayesian methods Covariance matrix Maximum likelihood estimation Measurement errors Maximum likelihood detection Partitioning algorithms

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Detecting and Matching Repeated patterns for Automatic Geo-tagging in Urban Environments

Detecting and Matching Repeated Patterns for Automatic Geo-t...

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26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.3

作者： Grant Schindler Panchapagesan Krishnamurthy Roberto Lublinerman Yanxi Liu Frank Dellaert Georgia Institute of Technology USA Pennsylvania State University USA

We present a novel method for automatically geo-tagging photographs of man-made environments via detection and matching of repeated patterns. Highly repetitive environments introduce numerous correspondence ambiguities and are problematic for traditional wide-baseline matching methods. Our method exploits the highly repetitive nature of urban environments, detecting multiple perspectively distorted periodic 2D patterns in an image and matching them to a 3D database of textured facades by reasoning about the underlying canonical forms of each pattern. Multiple 2D-to-3D pattern correspondences enable robust recovery of camera orientation and location. We demonstrate the success of this method in a large urban environment.

关键词： pattern matching Image databases Layout Lattices computer vision Cities and towns Robustness Tagging Digital cameras Social network services

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Fuzzy Chamfer Distance and its Probabilistic Formulation for Visual Tracking

Fuzzy Chamfer Distance and its Probabilistic Formulation for...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.6

作者： Yonggang Jin Farzin Mokhtarian Miroslaw Bober John Illingworth Centre for Vision Speech and Signal Processing University of Surrey UK

the paper presents a fuzzy chamfer distance and its probabilistic formulation for edge-based visual tracking. First, connections of the chamfer distance and the Hausdorff distance with fuzzy objective functions for clustering are shown using a reformulation theorem. A fuzzy chamfer distance (FCD) based on fuzzy objective functions and a probabilistic formulation of the fuzzy chamfer distance (PFCD) based on data association methods are then presented for tracking, which can all be regarded as reformulated fuzzy objective functions and minimized with iterative algorithms. Results on challenging sequences demonstrate the performance of the proposed tracking method.

关键词： Iterative algorithms High definition video Particle tracking Particle filters Signal processing algorithms Laboratories Speech processing Signal processing Object recognition Object detection

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Learning Human Motion Models from Unsegmented Videos

Learning Human Motion Models from Unsegmented Videos

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26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.10

作者： Roman Filipovych Eraldo Ribeiro Computer Vision and Bio-Inspired Computing Laboratory Department of Computer Sciences Florida Institute of Technology Melbourne FL USA

We present a novel method for learning human motion models from unsegmented videos. We propose a unified framework that encodes spatio-temporal relationships between descriptive motion parts and the appearance of individual poses. Sparse sets of spatial and spatio-temporal features are used. the method automatically learns static pose models and spatio-temporal motion parts. Neither motion cycles nor human figures need to be segmented for learning. We test the model on a publicly available action dataset and demonstrate that our new method performs well on a number of classification tasks. We also show that classification rates are improved by increasing the number of pose models in the framework.

关键词： Humans Videos computer vision Spatiotemporal phenomena Laboratories Testing Performance evaluation Image analysis Image sequence analysis Information analysis

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Real Time Object Tracking based on Dynamic Feature Grouping with Background Subtraction

Real Time Object Tracking based on Dynamic Feature Grouping ...

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26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.5

作者： ZuWhan Kim California PATH University of California Berkeley CA USA

Object detection and tracking has various application areas including intelligent transportation systems. We introduce an object detection and tracking approach that combines the background subtraction algorithm and the feature tracking and grouping algorithm. We first present an augmented background subtraction algorithm which uses a low-level feature tracking as a cue. the resulting background subtraction cues are used to improve the feature detection and grouping result. We then present a dynamic multi-level feature grouping approach that can be used in real time applications and also provides high-quality trajectories. Experimental results from video clips of a challenging transportation application are presented.

关键词： Vehicle detection Vehicles Object detection Robustness Lighting Trajectory Vehicle dynamics computer vision Application software Vehicle safety

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Correspondences between Parts of Shapes with Particle Filters

Correspondences between Parts of Shapes with Particle Filter...

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26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.7

作者： Rolf Lakaemper Marc Sobel Temple University Philadelphia USA

Given two shapes, the correspondence between distinct visual features is the basis for most alignment processes and shape similarity measures. this paper presents an approach introducing particle filters to establish perceptually correct correspondences between point sets representing shapes. Local shape feature descriptors are used to establish correspondence probabilities. the global correspondence structure is calculated using additional constraints based on domain knowledge. Domain knowledge is characterized as prior distributions expressing hypotheses about the global relationships between shapes. these hypotheses are generated during the iterative particle filtering process. Experiments using standard alignment techniques, based on the given correspondence relationships, demonstrate the advantages of this approach.

关键词： Particle filters Shape measurement Probability Labeling Filtering computer vision Terminology Particle measurements Humans Poisson equations

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vision-based virtual touch screen interface

Vision-based virtual touch screen interface

引用

26th ieee International conference on Consumer Electronics, the Mobile Consumer, ICCE 2008

作者： Koh, Eunjin Won, Jongho Bae, Changseok University of Science and Technology Daejeon Korea Republic of Daejeon Korea Republic of

ISBN: (纸本)142441458X

To utilize the augmented reality with the portable environment, human-computer interaction interface that satisfies the mobility, the convenience, as well as the accuracy is required. In this paper, we propose a vision-based virtual touch screen interface that ensures the requirements. the virtual touch screen is implemented on a stereo cameras installed see-through head mounted display device using an adaptive gesture recognition algorithm. Since it provides a natural way to interact with computers through the vision-based select, click, and drag&drop operations, it can be applied to various augmented reality environments without the restriction of the mobility and the inconvenience. ©2008 ieee.

关键词： Augmented reality

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Robust Learning of Discriminative Projection for Multicategory Classification on the Stiefel Manifold

Robust Learning of Discriminative Projection for Multicatego...

引用

26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.2

作者： Duc-Son Pham Svetha Venkatesh Department of Computing Curtin University of Technology Perth WA Australia

Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in pose, illumination, and facial expression. To address this problem, we propose a framework formulated under statistical learning theory that facilitates robust learning of a discriminative projection. Dimensionality reduction using the projection matrix is combined with a linear classifier in the regularized framework of lasso regression. the projection matrix in conjunction with the classifier parameters are then found by solving an optimization problem over the Stiefel manifold. the experimental results on standard face databases suggest that the proposed method outperforms some recent regularized techniques when the number of training samples is small.

关键词： Robustness Databases Principal component analysis Linear discriminant analysis Face recognition Nearest neighbor searches Statistical learning Australia Lighting pattern recognition

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Extracting Smooth and Transparent Layers from a Single Image

Extracting Smooth and Transparent Layers from a Single Image

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26th ieee conference on computer vision and pattern recognition (cvpr 2008), vol.4

作者： Sai-Kit Yeung Tai-Pang Wu Chi-Keung Tang Vision and Graphics Group Hong Kong University of Science and Technology Hong Kong China

Layer decomposition from a single image is an under-constrained problem, because there are more unknowns than equations. this paper studies a slightly easier but very useful alternative where only the background layer has substantial image gradients and structures. We propose to solve this useful alternative by an expectation-maximization (EM) algorithm that employs the hidden markov model (HMM), which maintains spatial coherency of smooth and overlapping layers, and helps to preserve image details of the textured background layer. We demonstrate that, using a small amount of user input, various seemingly unrelated problems in computational photography can be effectively addressed by solving this alternative using our EM-HMM algorithm.

关键词： Image decomposition Computational photography vision for graphics

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