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Towards estimation of dense disparities from stereo images containing large textureless regions

Towards estimation of dense disparities from stereo images c...

引用

International Conference on Pattern Recognition

作者： M.V. Rohith Gowri Somanath Chandra Kambhamettu Cathleen Geiger Dept. of Computer and Information Sciences Video/Image Modeling and Synthesis(VIMS) Lab Department. of Geography University of Delaware USA

Stereo algorithms for structure reconstruction demand accurate disparities with low mismatch errors and false positives. Mismatch errors in large textureless regions force most accurate algorithms to be sparse, with disparities known only in textured regions. We propose a novel method which uses characteristics of the multi-valued disparity to segregate image regions into unambiguous, occluded but textured and regions with low color variation. The disparity in the unambiguous region is calculated using stable matching with local disparity filtering. The disparity is interpolated into other regions by diffusion using unstructured triangulation and method of finite elements for rapid convergence. The boundary conditions for each of the region are appropriately modified so that accurate discontinuities in the disparity are preserved. A comparison of our method with some existing methods through experiments reveal that this algorithm indeed performs significantly better in producing dense accurate disparities.

关键词： image reconstruction Stereo image processing Interpolation image matching computer errors Matched filters Filtering Geography Finite element methods Convergence

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Vector field resampling using local streamline approximation

Vector field resampling using local streamline approximation

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International Conference on Pattern Recognition

作者： M. Thomas C. Kambhamettu C. A. Geiger Video/Image Modeling and Synthesis Lab Department of Computer and Info. Sciences University of Delaware Center for Climatic Research Department of Geography University of Delaware

ISBN: (纸本)9781424421749

In this paper, we propose an algorithm to resample coarse vector fields in order to obtain vector fields of a higher density. Unlike the typical linear interpolation scheme, our algorithm attempts to identify streamline characteristics in the flow field, and uses local polynomial parameterization of the flow to perform interpolation. Quantitative validation of the streamline oriented algorithm indicate that the Mean Square Error of the flow field obtained is more accurate than those obtained by bilinear interpolation schemes.

关键词： Interpolation Motion estimation Streaming media Polynomials Vectors Mean square error methods Grid computing Geography computer vision Motion measurement

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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

2006 Conference on computer Vision and Pattern Recognition Workshops

作者： Qi, Li Kambhamettu, Chandra Jieping, Ye Video/Image Modeling and Synthesis Lab. Computer Information and Sciences University of Delaware Computer Science and Engineering Arizona State University

ISBN: (纸本)0769526462

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 under-sampled 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. © 2006 IEEE.

关键词： Feature extraction

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Estimation of the size and location of multiple area light sources

Estimation of the size and location of multiple area light s...

引用

International Conference on Pattern Recognition

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

ISBN: (纸本)0769521282

Most illuminant estimation algorithms worked on point light sources or directional light sources. Little attempt has been made, however, to estimate area light sources. In this paper, we present a novel scheme that estimates the size and location of multiple area light sources using a set of stereo images of a sphere with a shiny surface. The parameters of the area light source are estimated by a novel algorithm which minimizes the matching error between the corresponding specular patches. Experiments on real images show that our method is accurate and robust in estimating the parameters of the area light source.

关键词： Light sources Layout Stereo vision Robustness Parameter estimation Shape Object detection Application software computer graphics Rendering (computer graphics)

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A novel method for 3D surface mesh segmentation

A novel method for 3D surface mesh segmentation

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Sixth IASTED International Conference on computer Graphics and Imaging

作者： Srinark, Thitiwan Kambhamettu, Chandra Video/Image Modeling/Synthesis Lab. Department of Computer Sciences University of Delaware Newark DE 19716 United States

ISBN: (纸本)0889863768

We propose a novel method for the problem of 3D surface mesh segmentation. This mesh segmentation method is based on differential geometry and geodesic distance information. In our algorithm, vertices of the same group of surface types are allowed to join a segment. The geodesic distance is estimated using shortest path between connected vertices, which can be computed from well known algorithms such as the Dijkstra algorithm. However, this is inefficient for large meshes. Therefore, in our algorithm, instead of applying the shortest path algorithm to the entire mesh, we locally apply it to mesh partitions so that we can avoid large computational costs. We tested our method with 3D surface meshes of synthetic objects and molecular structures.

关键词： Three dimensional computer graphics

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Snake for band edge extraction and its applications

Snake for band edge extraction and its applications

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Sixth IASTED International Conference on computer Graphics and Imaging

作者： Li, Min Kambhamettu, Chandra Stone, Maureen Video/Image Modeling/Synthesis Lab Department of Computer Sciences University of Delaware Newark DE 19716 United States Vocal Tract Visualization Lab Department of Oral Sciences University of Maryland Dental School Baltimore MD 21201 United States

ISBN: (纸本)0889863768

A novel snake model suitable for edge extraction of bandshape objects is presented in this paper. Based on the proposed model, an edge tracking system, EdgeTrak, has been developed which is being used by speech scientists in speech research and other related applications. Unlike the classical active contour models which only use gradient of the image as the image force, the proposed snake model incorporates the edge gradient and intensity information in specific regions around each snake element. It can be used to extract edges that are open or closed contours, which makes it different from other active contour models that use homogeneity of intensity in a region as the constraint and thus are only applied to closed contours. The proposed snake model also takes into account the contour orientation so that any unrelated edges in the image will be discarded even if these edges have high gradient, or enclose a homogeneous region. Dynamic programming is used as the optimization method in our implementation and the image information update is naturally incorporated in the optimization process. Experiment results on face edge and human tongue tracking are also presented in this paper and the robustness and accuracy of the proposed model is verified by quantitative and qualitative analysis.

关键词： Edge detection

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Representing and recognizing complete set of geons using extended superquadrics

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

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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

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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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Integrated 3D scene flow and structure recovery from multiview image sequences

Integrated 3D scene flow and structure recovery from multivi...

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Conference on computer Vision and Pattern Recognition (CVPR)

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

Scene flow is the 3D motion field of points in the world. Given N (N>1) image sequences gathered with a N-eye stereo camera or N calibrated cameras, we present a novel system which integrates 3D scene flow and structure recovery in order to complement each other's performance. We do not assume rigidity of the scene motion, thus allowing for non-rigid motion in the scene. In our work, images are segmented into small regions. We assume that each small region is undergoing similar motion, represented by a 3D affine model. Nonlinear motion model fitting based on both optical flow constraints and stereo constraints is then carried over each image region in order to simultaneously estimate 3D motion correspondences and structure. To ensure the robustness, several regularization constraints are also introduced. A recursive algorithm is designed to incorporate the local and regularization constraints. Experimental results on both synthetic and real data demonstrate the effectiveness of our integrated 3D motion and structure analysis scheme.

关键词： Layout Cameras image sequences image segmentation Nonlinear optics image motion analysis Motion estimation Robustness Algorithm design and analysis Motion analysis

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Hierarchical structure and nonrigid motion recovery from 2D monocular views

Hierarchical structure and nonrigid motion recovery from 2D ...

引用

Conference on computer Vision and Pattern Recognition (CVPR)

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

Inferring both 3D structure and motion of nonrigid objects from monocular images is an important problem in computer vision. The challenges stem not only from the absence of point correspondences but also from the structure ambiguity. In this paper, a hierarchical method which integrates both local patch analysis and global shape descriptions is devised to solve the dual problem of structure and nonrigid motion recovery by using an elastic geometric model-extended superquadrics (ESQ). The nonrigid object of interest is segmented into many small areas and local analysis is performed to recover small details for each small area, assuming that each small area is undergoing similar nonrigid motion. Then, a recursive algorithm is proposed to guide and regularize local analysis with global information by using an appropriate global ESQ model. This local-global hierarchy enables us to capture both local and global deformations accurately and robustly. Experimental results on both simulation and real data are presented to validate and evaluate the effectiveness and robustness of the proposed approach.

关键词： Motion analysis Motion estimation Deformable models computer vision Robustness Active shape model Biological system modeling Humans image motion analysis Solid modeling

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