6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004.

28-30 March 2004

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  • 6th IEEE Southwest Symposium on Image Analysis and Interpretation 2004 - Cover

    Publication Year: 2004, Page(s): 0_1
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  • 2004 Southwest Symposium on Image Analysis and Interpretation (IEEE Cat. No.04EX820)

    Publication Year: 2004
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  • Copyright

    Publication Year: 2004, Page(s): ii
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  • Preface

    Publication Year: 2004, Page(s): iii
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  • [Breaker page]

    Publication Year: 2004, Page(s): iv
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  • Organizing Committee

    Publication Year: 2004, Page(s): v
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  • Program committee

    Publication Year: 2004, Page(s): vi
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  • Table of contents

    Publication Year: 2004, Page(s):vii - x
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  • Material analysis on noisy multispectral images using classifier combination

    Publication Year: 2004, Page(s):1 - 5
    Cited by:  Papers (3)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (286 KB) | HTML iconHTML

    Methods for material analysis on images are essential in many applications. We present a set of experiments with classifier combiners in order to recognize materials in multispectral images with applications in soil science. These images were obtained by the transmission of different energies with a computerized tomography scanner. The use of the linear attenuation coefficients as classification f... View full abstract»

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  • Imaging and rendering of oil paintings using a multi-band camera

    Publication Year: 2004, Page(s):6 - 10
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (386 KB) | HTML iconHTML

    The paper proposes a method for the imaging and rendering of art paintings using a multi-band camera system. The surface shape of an art painting is considered as a rough plane rather than a three-dimensional curved surface. First. we present an algorithm for estimating the surface normal at each pixel point, based on a photometric stereo without using a rangefinder. Next, an algorithm is presente... View full abstract»

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  • Analysis and restoration of desert/urban scenes degraded by the atmosphere

    Publication Year: 2004, Page(s):11 - 15
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (755 KB) | HTML iconHTML

    Our investigation is aimed at analyzing and restoring images of desert and urban scenes that are degraded by the atmosphere. The modulation transfer function (MTF) is used to capture the atmospheric distortion and to remove it. The MTF is estimated from the scene itself from a large discontinuity. The results are presented for various images of the same scene taken under various atmospheric condit... View full abstract»

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  • A comparison of subspace methods for accurate position measurement

    Publication Year: 2004, Page(s):16 - 20
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (372 KB) | HTML iconHTML

    A comparison of the accuracy of visual position measurement in four common subspaces is presented. Principal component analysis (PCA), independent component analysis (ICA), kernel principal component analysis (KPCA) and Fisher's linear discriminant (FLD) are examined for their ability to discriminate positions in a 2D visual subspace. The comparison was done with both constant and varying illumina... View full abstract»

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  • Reversible watermarking by prediction-error expansion

    Publication Year: 2004, Page(s):21 - 25
    Cited by:  Papers (34)  |  Patents (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (272 KB) | HTML iconHTML

    We propose a new reversible (lossless) watermarking algorithm for digital images. Being reversible, the algorithm enables the recovery of the original host information upon the extraction of the embedded information. The proposed technique exploits the inherent correlation among the adjacent pixels in an image region using a predictor. The information bits are embedded into the prediction errors, ... View full abstract»

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  • Image-based location awareness and navigation: who cares?

    Publication Year: 2004, Page(s):26 - 30
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (324 KB) | HTML iconHTML

    We describe some of the research issues and challenges in image-based location awareness and navigation. We describe two systems being developed at Purdue University as testbeds for our ideas. The main system architecture combines image processing, mobility, wireless communication, and location awareness. View full abstract»

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  • Unsupervised object-based detection of dissolves in video sequences

    Publication Year: 2004, Page(s):31 - 35
    Cited by:  Patents (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (445 KB) | HTML iconHTML

    A new method for detecting the dissolve production effect within digital videos is proposed. Possible dissolve candidates are first identified based on the MPEG-7 edge histogram (Day, N. and Martinez, J.M., Proc. ISO/IEC/SC29/WG11 N4325, 2001) differences accumulated across a sampled region of the video. These potential candidates are then classified as a dissolve based on the analysis of tracking... View full abstract»

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  • Automated camera dysfunctions detection

    Publication Year: 2004, Page(s):36 - 40
    Cited by:  Papers (8)  |  Patents (8)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (440 KB) | HTML iconHTML

    Surveillance systems depend greatly on the robustness and availability of the video streams. The cameras must deliver reliable streams from an angle corresponding to the correct viewpoint. In other words, the field of view and video quality must remain unchanged after the initial installation of a surveillance camera. The paper proposes an approach to detect changes (such as displacement, out of f... View full abstract»

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  • Model-based analysis of multi-video data

    Publication Year: 2004, Page(s):41 - 45
    Cited by:  Papers (1)  |  Patents (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (413 KB) | HTML iconHTML

    We describe a method to analyze multiple synchronized video streams by making use of a parameterized geometry model of the recorded object. By formulating the task of fitting the model to the images in terms of optimizing silhouette match, we are able to capture the time-varying 3D pose of the object automatically and robustly. To evaluate the energy functional, we exploit the fast image synthesis... View full abstract»

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  • Analysis of a human extraction system for deploying gait biometrics

    Publication Year: 2004, Page(s):46 - 50
    Cited by:  Papers (2)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (352 KB) | HTML iconHTML

    There is an increasing need in biometric deployment, especially gait, for extraction in unconstrained scenes. Extraction in such circumstances is problematic and requires noise-resistant algorithms. We describe novel methods that enable generic extraction of moving objects, but particularly walking people, from large outdoor video databases. Combining the techniques into a preprocessing chain, we ... View full abstract»

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  • Efficient hyperplane tracking by intelligent region selection

    Publication Year: 2004, Page(s):51 - 55
    Cited by:  Papers (1)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (413 KB) | HTML iconHTML

    The main aim of our work is to improve the accuracy of the hyperplane tracker of F. Jurie and M. Dhome (see IEEE Trans. Pattern Anal. and Machine Intelligence, vol.24, no.7, p.996-1000, 2002) for real-time template matching. As the computation time of the initialization of the algorithm depends on the number of points used for estimating the motion of the template, only a subset of points in the t... View full abstract»

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  • Strong image segmentation from a data-driven perspective: impossible?

    Publication Year: 2004, Page(s):56 - 60
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (439 KB) | HTML iconHTML

    Strong image segmentation is a very challenging problem in computer vision research. Both data-driven and model-driven approaches have been investigated in the past two decades, and many approaches proposed. Although model-based approaches are more promising in addressing strong image segmentation, data-driven approaches present more general frameworks which could potentially be adopted to segment... View full abstract»

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  • A new progressive coding algorithm of dithered images

    Publication Year: 2004, Page(s):61 - 65
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (465 KB) | HTML iconHTML

    A novel progressive coding scheme is presented for the efficient display of dithered images. Dithered images are the results of thresholding original gray-level images with dithering screens. After the preprocessing of bit-interleaving, this algorithm utilizes the characteristic of the reordered image to determine the transmitting order and then progressively reconstructs the dithered image. Moreo... View full abstract»

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  • A cluster-assisted global optimization method for high resolution medical image registration

    Publication Year: 2004, Page(s):66 - 70
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (324 KB) | HTML iconHTML

    Optimization is a key component of image registration. Due to the non-convexity and high computation cost of the objective function, a common tactic is to set an initial guess and then use multi-resolution or local optimization methods to find a local optimum of the objective function. For almost all local optimization methods, the initial location in the search space plays a critical role in the ... View full abstract»

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  • Using inverse image frequency for perception-based color image quantization

    Publication Year: 2004, Page(s):71 - 75
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (376 KB) | HTML iconHTML

    The process of selecting a small number of representative colors from an image of higher color resolution is called color image quantization. A well-known problem in quantizing images is to select the best representative colors that not only reduce the quantization error, but also account for the perception of human vision. The technique we propose effectively handles this problem by using the var... View full abstract»

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  • Temporal phase congruency

    Publication Year: 2004, Page(s):76 - 79
    Cited by:  Papers (4)
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (240 KB) | HTML iconHTML

    We describe a robust moving feature detector that extracts feature points and feature velocities from a sequence of images. We develop a new approach based on phase congruency to include interpolation of feature orientation and improvements in robustness due to correlations in the image sequence. This new temporal phase congruency operator shows improved capabilities on a series of different real ... View full abstract»

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  • Partially observed objects localization with PCA and KPCA models

    Publication Year: 2004, Page(s):80 - 84
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (290 KB) | HTML iconHTML

    We deal with the problem of partially observed objects. These objects are defined by sets of points and their shape variations are represented by a statistical model. We present two models: a linear model based on PCA and a non-linear model based on KPCA (kernel PCA). The present work attempts to localize non visible parts of an object from visible parts and from the model, explicitly. using the v... View full abstract»

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