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检索条件"任意字段=2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006"

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Appearance-guided particle filtering for articulated hand tracking

Appearance-guided particle filtering for articulated hand tr...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Wen-Yan Chang Chu-Song Chen Yi-Ping Hung Institute of Information Science Academia Sinica Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University Taiwan

ISBN: (纸本)0769523722

We propose a model-based tracking method, called appearance-guided particle filtering (AGPF), which integrates both sequential motion transition information and appearance information. A probability propagation model is derived from a Bayesian formulation for this framework, and a sequential Monte Carlo method is introduced for its realization. We apply the proposed method to articulated hand tracking, and show that it performs better than methods that only use either sequential motion transition information or only use appearance information.

关键词： Particle tracking State estimation State-space methods Target tracking Information filtering Information filters Motion estimation Nonlinear dynamical systems Stochastic processes Filtering algorithms

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Learning appearance manifolds from video

Learning appearance manifolds from video

引用

conference on computer vision and pattern recognition (cvpr)

作者： A. Rahimi T. Darrell B. Recht MIT CS and AI Lab Cambridge MA USA MIT Media Lab Cambridge MA

The appearance of dynamic scenes is often largely governed by a latent low-dimensional dynamic process. We show how to learn a mapping from video frames to this low-dimensional representation by exploiting the temporal coherence between frames and supervision from a user. This function maps the frames of the video to a low-dimensional sequence that evolves according to Markovian dynamics. This ensures that the recovered low-dimensional sequence represents a physically meaningful process. We relate our algorithm to manifold learning, semi-supervised learning, and system identification, and demonstrate it on the tasks of tracking 3D rigid objects, deformable bodies, and articulated bodies. We also show how to use the inverse of this mapping to manipulate video.

关键词： Video sequences Layout Nonlinear systems Nonlinear dynamical systems Artificial intelligence System identification Motion analysis computer vision Lips Videoconference

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Bayesian 3D modeling from images using multiple depth maps

Bayesian 3D modeling from images using multiple depth maps

引用

conference on computer vision and pattern recognition (cvpr)

作者： P. Gargallo P. Sturm INRIA Rhône-Alpes GRAVIR-CNRS Montbonnot France

This paper addresses the problem of reconstructing the geometry and color of a Lambertian scene, given some fully calibrated images acquired with wide baselines. In order to completely model the input data, we propose to represent the scene as a set of colored depth maps, one per input image. We formulate the problem as a Bayesian MAP problem which leads to an energy minimization method. Hidden visibility variables are used to deal with occlusion, reflections and outliers. The main contributions of this work are: a prior for the visibility variables that treats the geometric occlusions; and a prior for the multiple depth maps model that smoothes and merges the depth maps while enabling discontinuities. Real world examples showing the efficiency and limitations of the approach are presented.

关键词： Bayesian methods Layout Image reconstruction Reflection Shape Geometry Minimization methods Solid modeling computer vision Optimization methods

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Overview of the face recognition grand challenge

Overview of the face recognition grand challenge

引用

conference on computer vision and pattern recognition (cvpr)

作者： P.J. Phillips P.J. Flynn T. Scruggs K.W. Bowyer Jin Chang K. Hoffman J. Marques Jaesik Min W. Worek National Institute for Standards and Technology Gaithersburg MD USA Computer Science & Engineering Department University of Notre Dame Notre Dame IN USA SAIC Arlington VA USA Mitre Corporation McLean VA USA

Over the last couple of years, face recognition researchers have been developing new techniques. These developments are being fueled by advances in computer vision techniques, computer design, sensor design, and interest in fielding face recognition systems. Such advances hold the promise of reducing the error rate in face recognition systems by an order of magnitude over Face recognition Vendor Test (FRVT) 2002 results. The face recognition grand challenge (FRGC) is designed to achieve this performance goal by presenting to researchers a six-experiment challenge problem along with data corpus of 50,000 images. The data consists of 3D scans and high resolution still imagery taken under controlled and uncontrolled conditions. This paper describes the challenge problem, data corpus, and presents baseline performance and preliminary results on natural statistics of facial imagery.

关键词： Face recognition Image recognition Image resolution computer vision Protocols Lighting control Testing NIST computer science Drives

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A vision-Based Approach for Controlling User Interfaces of Mobile Devices

A Vision-Based Approach for Controlling User Interfaces of M...

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： J. Hannuksela P. Sangi J. Heikkila Machine Vision Group Infotech Oulu and Department of Electrical and Information Engineering University of Oulu Finland

We introduce a novel user interface solution for mobile devices which enables the display to be controlled by the motion of the user’s hand. A feature-based approach is proposed for dominant global motion estimation that exploits gradient measures for both feature selection and motion uncertainty analysis. We also present a voting-based scheme for outlier removal. A Kalman filter is utilized for smoothing motion trajectories. A fixed-point implementation of the method was made on a mobile device platform that sets computational restrictions for the algorithms used. Experiments with synthetic and real image sequences show the effectiveness of the method and demonstrate the practicality of the approach in a smartphone.

关键词： User interfaces Displays Motion control Motion estimation Motion measurement Motion analysis Image motion analysis Smoothing methods Mobile computing Image sequences

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3D Assisted Face recognition: A Survey of 3D Imaging, Modelling and recognition Approachest

3D Assisted Face Recognition: A Survey of 3D Imaging, Modell...

引用

ieee computer society conference on computer vision and pattern recognition Workshops (cvprW)

作者： J. Kittler A. Hilton M. Hamouz J. Illingworth Centre for Vision Speech and Signal Processing University of Surrey Guildford UK

3D face recognition has lately been attracting ever increasing attention. In this paper we review the full spectrum of 3D face processing technology, from sensing to recognition. The review covers 3D face modelling, 3D to 3D and 3D to 2D registration, 3D based recognition and 3D assisted 2D based recognition. The fusion of 2D and 3D modalities is also addressed. The paper complements other reviews in the face biometrics area by focusing on the sensor technology, and by detailing the efforts in 3D face modelling and 3D assisted 2D face matching.

关键词： Face recognition Image recognition Face detection Decision making computer vision Robustness Humans Photometry Feature extraction Testing

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Wide-baseline stereo matching with line segments

Wide-baseline stereo matching with line segments

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conference on computer vision and pattern recognition (cvpr)

作者： H. Bay V. Ferraris L. Van Gool Computer Vision Laboratory (BIWI) ETH Zuerich Switzerland Comput. Vision Lab. ETH Zuerich Switzerland ESAT-PSI University of Leuven Belgium

We present a new method for matching line segments between two uncalibrated wide-baseline images. Most current techniques for wide-baseline matching are based on viewpoint invariant regions. Those methods work well with highly textured scenes, but fail with poorly textured ones. We show that such scenes can be successfully matched using line segments. Moreover, since line segments and regions provide complementary information, their combined matching allows to deal with a broader range of scenes. We generate an initial set of line segment correspondences, and then iteratively increase their number by adding matches consistent with the topological structure of the current ones. Finally, a coplanar grouping stage allows to estimate the fundamental matrix even from line segments only.

关键词： Image segmentation Layout Geometry Stereo vision computer vision Histograms Laboratories Transmission line matrix methods Robustness Constitution

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Contrast enhancement of multi-displays using human contrast sensitivity

Contrast enhancement of multi-displays using human contrast ...

引用

conference on computer vision and pattern recognition (cvpr)

作者： A. Majumder Department of Computer Science University of California Irvine USA

Study of contrast sensitivity of the human eye shows that we are more sensitive to brightness differences at low intensity levels than at high intensity levels. We apply this fact effectively to achieve brightness seamless-ness in multi-projector displays. Multi-displays, popularly made of a rectangular array of partially overlapping projectors, show severe spatial variation in brightness. Existing methods achieve brightness uniformity across the display by matching the brightness response of every pixel to the pixel with the most limited contrast leading to severe compression in the contrast of the display. In this paper, we propose a method that allows a constrained variation in brightness guided by the human contrast sensitivity function such that it is imperceptible to the human eye. This achieves a seamless multi-display with a dramatic improvement in the contrast making the display practically usable.

关键词： Humans Brightness Liquid crystal displays Optical attenuators Optical filters Optical sensors computer science computer displays Large-scale systems Visualization

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Accurate motion layer segmentation and matting

Accurate motion layer segmentation and matting

引用

conference on computer vision and pattern recognition (cvpr)

作者： J. Xiao M. Shah Computer Vision Lab School of Computer Science University of Central Florida USA

ISBN: (纸本)0769523722

Given a video sequence, obtaining accurate layer segmentation and alpha matting is very important for various applications. However, when a non-textured or smooth area is present in the scene, the segmentation based on only single motion cue usually cannot provide satisfactory results. Conversely, the most matting approaches require a smooth assumption on foreground and background to obtain a good result. In this paper, we combine the merits of motion segmentation and alpha matting technique together to simultaneously achieve high-quality layer segmentation and alpha mattes. First, we explore a general occlusion constraint and design a novel graph cuts framework to solve the layer-based motion segmentation problem for the textured regions using multiple frames. Then, an alpha matting technique is further used to refine the segmentation and resolve the non-textured ambiguities by determining proper alpha values for the foreground and background respectively.

关键词： computer vision Motion segmentation Video sequences Pixel Layout Image segmentation computer science Application software Image sequences Merging

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Diagram structure recognition by Bayesian conditional random fields

Diagram structure recognition by Bayesian conditional random...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Y. Qi M. Szummer T.P. Minka MIT CSAIL Cambridge MA USA Microsoft Research Limited Cambridge UK

Hand-drawn diagrams present a complex recognition problem. Elements of the diagram are often individually ambiguous, and require context to be interpreted. We present a recognition method based on Bayesian conditional random fields (BCRFs) that jointly analyzes all drawing elements in order to incorporate contextual cues. The classification of each object affects the classification of its neighbors. BCRFs allow flexible and correlated features, and take both spatial and temporal information into account. BCRFs estimate the posterior distribution of parameters during training, and average predictions over the posterior for testing. As a result of model averaging, BCRFs avoid the overfitting problems associated with maximum likelihood training. We also incorporate automatic relevance determination (ARD), a Bayesian feature selection technique, into BCRFs. The result is significantly lower error rates compared to ML- and MAP-trained CRFs.

关键词： Bayesian methods Labeling Pixel Testing Maximum likelihood estimation Uncertainty Parameter estimation Error analysis computer vision Context modeling

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