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2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)

20-25 June 2005

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  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Cover

    Publication Year: 2005, Page(s): c1
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  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Title Page

    Publication Year: 2005, Page(s):i - iii
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  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Copyright Page

    Publication Year: 2005, Page(s): iv
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  • 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Table of contents

    Publication Year: 2005, Page(s):v - xxiii
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  • Preface

    Publication Year: 2005, Page(s):xxiv - xxviii
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  • Conference organization

    Publication Year: 2005, Page(s):xxix - xxx
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  • Program Committee

    Publication Year: 2005, Page(s):xxxi - xxxiii
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  • Additional reviewers

    Publication Year: 2005, Page(s):xxxiv - xxxv
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  • Video Proceedings Welcome

    Publication Year: 2005, Page(s): xxxvi
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  • Demo Proceedings Welcome

    Publication Year: 2005, Page(s): xxxvii
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  • Particle filtering for geometric active contours with application to tracking moving and deforming objects

    Publication Year: 2005, Page(s):2 - 9 vol. 2
    Cited by:  Papers (44)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB) | HTML iconHTML

    Geometric active contours are formulated in a manner which is parametrization independent. As such, they are amenable to representation as the zero level set of the graph of a higher dimensional function. This representation is able to deal with singularities and changes in topology of the contour. It has been used very successfully in static images for segmentation and registration problems where... View full abstract»

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  • Illumination-invariant tracking via graph cuts

    Publication Year: 2005, Page(s):10 - 17 vol. 2
    Cited by:  Papers (35)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB) | HTML iconHTML

    Illumination changes are a ubiquitous problem in computer vision. They present a challenge in many applications, including tracking: for example, an object may move in and out of a shadow. We present a new tracking algorithm which is insensitive to illumination changes, while at the same time using all of the available photometric information. The algorithm is based on computing an illumination-in... View full abstract»

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  • Visual tracking in the presence of motion blur

    Publication Year: 2005, Page(s):18 - 25 vol. 2
    Cited by:  Papers (15)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (544 KB) | HTML iconHTML

    We consider the problem of visual tracking of regions of interest in a sequence of motion blurred images. Traditional methods couple tracking with deblurring in order to correctly account for the effects of motion blur. Such coupling is usually appropriate, but computationally wasteful when visual tracking is the lone objective. Instead of deblurring images, we propose to match regions by blurring... View full abstract»

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  • Appearance modeling for tracking in multiple non-overlapping cameras

    Publication Year: 2005, Page(s):26 - 33 vol. 2
    Cited by:  Papers (112)  |  Patents (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (392 KB) | HTML iconHTML

    When viewed from a system of multiple cameras with non-overlapping fields of view, the appearance of an object in one camera view is usually very different from its appearance in another camera view due to the differences in illumination, pose and camera parameters. In order to handle the change in observed colors of an object as it moves from one camera to another, we show that all brightness tra... View full abstract»

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  • Real-time tracking using level sets

    Publication Year: 2005, Page(s):34 - 41 vol. 2
    Cited by:  Papers (33)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1064 KB) | HTML iconHTML

    In this paper we propose a novel implementation of the level set method that achieves real-time level-set-based video tracking. In our fast algorithm, the evolution of the curve is realized by simple operations such as switching elements between two linked lists and there is no need to solve any partial differential equations. Furthermore, a novel procedure based on Gaussian filtering is introduce... View full abstract»

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  • Higher-order image statistics for unsupervised, information-theoretic, adaptive, image filtering

    Publication Year: 2005, Page(s):44 - 51 vol. 2
    Cited by:  Papers (25)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB) | HTML iconHTML

    The restoration of images is an important and widely studied problem in computer vision and image processing. Various image filtering strategies have been effective, but invariably make strong assumptions about the properties of the signal and/or degradation. Therefore, these methods typically lack the generality to be easily applied to new applications or diverse image collections. This paper des... View full abstract»

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  • Addressing radiometric nonidealities: a unified framework

    Publication Year: 2005, Page(s):52 - 59 vol. 2
    Cited by:  Papers (24)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2504 KB) | HTML iconHTML

    Cameras may have non-ideal radiometric aspects, including spatial non-uniformity, e.g., due to vignetting; a nonlinear radiometric response of the sensor; and temporal variations due to automatic gain control (AGC). Often, these characteristics exist simultaneously, and are typically unknown. They thus hinder consistent photometric measurements. In particular, they create annoying seams in image m... View full abstract»

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  • A non-local algorithm for image denoising

    Publication Year: 2005, Page(s):60 - 65 vol. 2
    Cited by:  Papers (1062)  |  Patents (53)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB) | HTML iconHTML

    We propose a new measure, the method noise, to evaluate and compare the performance of digital image denoising methods. We first compute and analyze this method noise for a wide class of denoising algorithms, namely the local smoothing filters. Second, we propose a new algorithm, the nonlocal means (NL-means), based on a nonlocal averaging of all pixels in the image. Finally, we present some exper... View full abstract»

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  • Determining the radiometric response function from a single grayscale image

    Publication Year: 2005, Page(s):66 - 73 vol. 2
    Cited by:  Papers (35)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (376 KB) | HTML iconHTML

    A method is presented for computing the radiometric response function of a camera from a single grayscale image. While most previous techniques require a set of registered images with different exposures to obtain response data, our approach capitalizes on a statistical feature of graylevel histograms at edge regions to gain information for radio-metric calibration. Appropriate edge regions are au... View full abstract»

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  • A generative model of human hair for hair sketching

    Publication Year: 2005, Page(s):74 - 81 vol. 2
    Cited by:  Papers (1)  |  Patents (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (712 KB) | HTML iconHTML

    Human hair is a very complex visual pattern whose representation is rarely studied in the vision literature despite its important role in human recognition. In this paper, we propose a generative model for hair representation and hair sketching, which is far more compact than the physically based models in graphics. We decompose a color hair image into three bands: a color band (a) (by Luv transfo... View full abstract»

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  • Active polyhedron: surface evolution theory applied to deformable meshes

    Publication Year: 2005, Page(s):84 - 91 vol. 2
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (640 KB) | HTML iconHTML

    This paper presents a novel 3D deformable surface that we call an active polyhedron. Rooted in surface evolution theory, an active polyhedron is a polyhedral surface whose vertices deform to minimize a regional and/or boundary-based energy functional. Unlike continuous active surface models, the vertex motion of an active polyhedron is computed by integrating speed terms over polygonal faces of th... View full abstract»

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  • Corrected Laplacians: closer cuts and segmentation with shape priors

    Publication Year: 2005, Page(s):92 - 98 vol. 2
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (472 KB) | HTML iconHTML

    We optimize over the set of corrected Laplacians (CL) associated with a weighted graph to improve the average case normalized cut (NCut) of a graph. Unlike edge-relaxation SDPs, optimizing over the set CL naturally exploits the matrix sparsity by operating solely on the diagonal. This structure is critical to image segmentation applications because the number of vertices is generally proportional ... View full abstract»

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  • Simultaneous modeling and tracking (SMAT) of feature sets

    Publication Year: 2005, Page(s):99 - 105 vol. 2
    Cited by:  Papers (14)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB) | HTML iconHTML

    A novel method for the simultaneous modeling and tracking (SMAT) of a feature set during motion sequence is proposed. The method requires no prior information. Instead the a posteriori distribution of appearance and shape is built up incrementally using an exemplar based approach. The resulting model is less optimal than when a priori data is used, but can be built in real-time. Data in any form m... View full abstract»

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  • Combining object and feature dynamics in probabilistic tracking

    Publication Year: 2005, Page(s):106 - 113 vol. 2
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (872 KB) | HTML iconHTML

    Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image features that are then used as input to a system for tracking the entire object using a global dynamic model. Approximate local dynamics may be brittle - point trackers drift due to image noise and adaptive background models... View full abstract»

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  • Localization in urban environments: monocular vision compared to a differential GPS sensor

    Publication Year: 2005, Page(s):114 - 121 vol. 2
    Cited by:  Papers (22)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1296 KB) | HTML iconHTML

    In this paper we present a method for computing the localization of a mobile robot with reference to a learning video sequence. The robot is first guided on a path by a human, while the camera records a monocular learning sequence. Then a 3D reconstruction of the path and the environment is computed off line from the learning sequence. The 3D reconstruction is then used for computing the pose of t... View full abstract»

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