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检索条件"机构=Video Image Modeling and Synthesis Laboratory"

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An Approximation to Mean-Shift via Swarm Intelligence

An Approximation to Mean-Shift via Swarm Intelligence

引用

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： M. Thomas C. Kambhamettu Video/Image Modeling and Synthesis Laboratory University of Delaware Newark NJ USA

Mean shift based feature space analysis has been shown to be an elegant, accurate and robust technique. The elegance in this non-parametric algorithm is mainly due to its simplicity in performing gradient ascent to estimate the modes in a multidimensional data. One characteristic aspect of mean shift is that the mode estimation is performed at each data point. Since it is important to describe the data in as succinct manner as possible, it is important to focus on modal points in the data instead of every data point. In this paper, we attempt to tackle the mean shift problem through a "mode centric" approach using swarm intelligence. Here, the mode estimation is cast as a problem of goal seeking for the swarm as it moves through the multidimensional data space. Local maxima/minima and plateaus are avoided through information exchange between each member of the swarm, thereby converging at the mode values efficiently

关键词： Particle swarm optimization Multidimensional systems Nearest neighbor searches image analysis Robustness Data analysis Pervasive computing Information analysis Knowledge based systems Statistical analysis

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Binocular Stereo Dense Matching in the Presence of Specular Reflections

Binocular Stereo Dense Matching in the Presence of Specular ...

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Wei Zhou C. Kambhamettu Video/Image Modeling and Synthesis (VIMS) Laboratory University of Delaware Newark DE USA

Traditional stereo correspondence algorithms rely heavily on the Lambertian model of diffuse reflectance. While this diffuse assumption is generally valid for much of an image, processing of regions that contain specular reflections can result in severe matching errors. In this paper, We address the problem of binocular stereo dense matching in the presence of specular reflections by introducing a novel correspondence measurement which is robust to the specular reflections. Combining our novel correspondence measurement with various local or global optimatization methods, accurate depth can be estimated for both diffuse and specular regions. Unlike the previous works which seek to eliminate or avoid specular reflections using image preprocessing or multibaseline stereo, our approach works in its presence. Our approach is general and fits well in various stereo frameworks. Experiments with both synthetic and real images demonstrate the effectiveness and robustness of our approach.

关键词： Reflection Stereo vision Layout Robustness Computer vision Photometry Reflectivity Rough surfaces Surface roughness Shape

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Integrating Spatial and Discriminant Strength for Feature Selection and Linear Dimensionality Reduction

Integrating Spatial and Discriminant Strength for Feature Se...

引用

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Qi Li C. Kambhamettu Jieping Ye Video/Image Modeling and Synthesis Laboratory Computer Information & Sciences University of Delaware USA Computer Science & Engineering Arizona State University USA

Interest strength assignment to image points is important for selecting good features. Strength assignments using spatial information aim to detect interest points repeatable across different image/illumination transformations, and have been widely adopted in many interest point detectors. Recently, strength assignment schemes using discriminant information received attention, and studies showed the superiority of discriminant strength. In this paper, we introduce a strength assignment scheme integrating spatial and discriminant information, with the motivation that strong spatial information can be helpful in improving the robustness of the discriminant strength estimation, e.g., in undersampled training scenario. Our integrated strength uses a new discriminant strength assignment, so-called locality oriented Fisher criterion score. The integrated strength leads to new methods for feature selection and weighted linear dimensionality reduction. Experimental results in two case studies (embryo developmental stage classification and face recognition) show the favorable performance of the proposed methods.

关键词： Linear discriminant analysis Detectors Robustness Lighting Autocorrelation Computer science Embryo Face recognition Object detection Object recognition

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Discontinuous Non-Rigid Motion Analysis of Sea Ice using C-Band Synthetic Aperture Radar Satellite imagery

Discontinuous Non-Rigid Motion Analysis of Sea Ice using C-B...

引用

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

作者： M. Thomas C. Geiger C. Kambhamettu Video/Image Modeling and Synthesis Laboratory University of Delaware Newark DE USA Snow and Ice Branch USA Crrel Hanover NH USA

Sea-ice motion consists of complex non-rigid motions involving continuous, piece-wise continuous and discrete particle motion. Techniques for estimating non-rigid motion of sea ice from pairs of satellite images (generally spaced three days apart) are still in the developmental stages. For interior Arctic and Antarctic pack ice, the continuum assumption begins to fail below the 5 km scale with evidence of discontinuities already revealed in models and remote sensing products in the form of abrupt changes in magnitude and direction of the differential velocity. Using a hierarchical multi-scale phase-correlation method and profiting from known limitations of cross correlation methods, we incorporate the identification of discontinuities into our motion estimation algorithm, thereby descending below the continuum threshold to examine the phenomenon of discontinuous non-rigid sea-ice motion.

关键词： Motion analysis Sea ice Synthetic aperture radar Satellites Motion estimation Optical noise image motion analysis Antarctica Remote sensing Adaptive optics

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Linear projection methods in face recognition under unconstrained illuminations: a comparative study

Linear projection methods in face recognition under unconstr...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Qi Li Jieping Ye C. Kambhamettu Video/Image Modeling and Synthesis Laboratory Computer Information & Science University of Delaware Newark DE USA Computer Science & Engineering University of Minnesota Minneapolis MN USA

Face recognition under unconstrained illuminations (FR/I) received extensive study because of the existence of illumination subspace. P. Belhumer et al. (1996) presented a study on the comparison between principal component analysis (PCA) and subspace linear discriminant analysis (LDA) for this problem. PCA and subspace LDA are two well-known linear projection methods that can be characterized as trace optimization on scatter matrices. Generally, a linear projection method can be derived by applying a specific matrix analysis technique on specific scatter matrices under some optimization criterion. Several novel linear projection methods were proposed recently using generalized singular value decomposition or QR decomposition matrix analysis techniques [H. Park, et al., 2003], [J. Ye and Q. Li, 2004]. In this paper, we present a comparative study on these linear projection methods in FR/I. We further involve multiresolution analysis in the study. Our comparative study is expected to give a relatively comprehensive view on the performance of linear projection methods in FR/I problems.

关键词： Face recognition Lighting Linear discriminant analysis Principal component analysis Scattering Matrix decomposition Optimization methods Matrix converters Singular value decomposition Computer science

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Representing and recognizing complete set of geons using extended superquadrics

Representing and recognizing complete set of geons using ext...

引用

International Conference on Pattern Recognition

作者： L. Zhou C. Kambhamettu Video/Image Modeling and Synthesis (VIMS) Laboratory Department of Computer and Information Sciences University of Delaware Newark DE USA

In this paper, we take advantage of extended superquadrics to represent and recognize the entire set of 36 geons. Extended superquadrics are novel volumetric shape models that include superquadrics as a special case. An extended superquadric model can be deformed in any direction because it extends the exponents of the superquadric model from constants to functions of the latitude and longitude angles in the spherical coordinate system. Thirteen features derived from the extended superquadric parameters are recovered in order to distinguish between all 36 geon classes. Classification error rates are estimated for the nearest neighbor classifier and backpropagation neural network. Both simulated data (at different noise levels) and real geon models are tested in our experiments. The results are very encouraging and have significant benefits for an object recognition system.

关键词： Shape Object recognition Reflection Fires Psychology Power system modeling Solid modeling image databases Buildings

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On 3D scene flow and structure estimation

On 3D scene flow and structure estimation

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Ye Zhang C. Kambhamettu Video Image Modeling and Synthesis VIMS Laboratory Department of Computer & Information Sciences University of Delaware Newark DE USA

ISBN: (纸本)0769512720

In this paper, novel algorithms computing dense 3D scene flow from multiview image sequences are described. A new hierarchical rule-based stereo matching algorithm is presented to estimate the initial disparity map. Different available constraints under a multiview camera setup are investigated and then utilized in the proposed motion estimation algorithms. We show two different formulations for 3D scene flow computation. One formulation assumes that initial disparity map is accurate while the other does not make this assumption. image segmentation information is used to maintain the motion and depth discontinuities. Iterative implementations are used to successfully compute 3D scene flow and structure at every point in the reference image. Novel hard constraints are introduced in this paper to make the algorithms more accurate and robust. Promising experimental results are seen by applying our algorithms to real imagery.

关键词： Layout image motion analysis Optical sensors Optical computing Motion estimation image sequences Optical noise Iterative algorithms Cameras image segmentation

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Recovery and tracking of continuous 3D surfaces from stereo data using a deformable dual-mesh

Recovery and tracking of continuous 3D surfaces from stereo ...

引用

International Conference on Computer Vision (ICCV)

作者： Y.S. Akgul C. Kambhamettu Video/Image Modeling and Synthesis(VIMS) Laboratory Department of Computer and Information Sciences University of Delaware Newark DE USA

We propose a novel method for continuous 3D depth recovery and tracking using calibrated stereo. The method integrates stereo correspondence, surface reconstruction and tracking by using a new single deformable dual mesh optimization, resulting in simplicity, robustness and efficiency. In order to combine stereo correspondence and structure recovery, the method introduces an external energy function defined for a 3D volume based on cross-correlation between the stereo pairs. The internal energy functional of the deformable dual mesh imposes smoothness on the surfaces and it serves as a communication tool between the two meshes. Under the forces produced by the energy terms, the dual mesh deforms to recover and track the 3D surface. The newly introduced dual-mesh model, which is one of the main contributions of this paper, makes the system robust against local minima and yet it is efficient. A coarse-to-fine minimization approach makes the system even more efficient. Tracking is achieved by using the recovered surface as an initial position for the next time frame. Although the system can effectively utilize initial surface positions and disparity data, they are not needed for a successful operation, which makes this system applicable to a wide range of areas. We present the results of a number of experiments on stereo human face and cloud images, which proves that our new method is very effective.

关键词： Surface reconstruction Data mining Stereo image processing image reconstruction Optimization methods Robustness Deformable models Humans Face Clouds

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