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JOINT 4-D variational STEREO RECONSTRUCTION AND CAMERA CALIBRATION REFINEMENT FOR OCEANIC SEA STATE MEASUREMENTS 33

JOINT 4-D VARIATIONAL STEREO RECONSTRUCTION AND CAMERA CALIB...

引用

33rd ASME international conference on Ocean, Offshore and Arctic Engineering

作者： Shih, Ping-Chang Gallego, Guillermo Yezzi, Anthony Fedele, Francesco Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA Univ Politecn Madrid Grp Tratamiento Imagenes Madrid Spain Georgia Inst Technol Sch Civil & Environm Engn Atlanta GA 30332 USA

ISBN: (纸本)9780791845370

Validating modern oceanographic theories using models produced through stereo computer vision principles has recently emerged. space-time (4-D) models of the ocean surface may be generated by stacking a series of 3-D reconstructions independently generated for each time instant or;in a more robust manner;by simultaneously processing several snapshots coherently in a true "4-D reconstruction." However, the accuracy of these computer-vision-generated models is subject to the estimations of camera parameters, which may be corrupted under the influence of natural factors such as wind and vibrations. Therefore, removing the unpredictable errors of the camera parameters is necessary for an accurate reconstruction. In this paper;we propose a novel algorithm that can jointly perform a 4-D reconstruction as well as correct the camera parameter errors introduced by external factors. The technique is founded upon variational optimization methods to benefit from their numerous advantages: continuity of the estimated surface in space and time, robustness, and accuracy. The performance of the proposed algorithm is tested using synthetic data produced through computer graphics techniques, based on which the errors of the camera parameters arising from natural factors can be simulated.

关键词： Calibration Seas computers Errors spacetime Algorithms Optimization Vibration Oceans Robustness Wind

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Image matching using generalized scale-space interest points 1

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4th international conference on scale space and variational methods in computer vision, SSVM 2013

作者： Lindeberg, Tony School of Computer Science and Communication KTH Royal Institute of Technology Stockholm Sweden

ISBN: (数字)9783642382673

ISBN: (纸本)9783642382666

The performance of matching and object recognition methods based on interest points depends on both the properties of the underlying interest points and the associated image descriptors. This paper demonstrates the advantages of using generalized scale-space interest point detectors when computing image descriptors for image-based matching. These generalized scale-space interest points are based on linking of image features over scale and scale selection by weighted averaging along feature trajectories over scale and allow for a higher ratio of correct matches and a lower ratio of false matches compared to previously known interest point detectors within the same class. Specifically, it is shown how a significant increase in matching performance can be obtained in relation to the underlying interest point detectors in the SIFT and the SURF operators. We propose that these generalized scale-space interest points when accompanied by associated scale-invariant image descriptors should allow for better performance of interest point based methods for image-based matching, object recognition and related vision tasks. © 2013 Springer-Verlag.

关键词： Object recognition

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Minimizing TGV-based variational models with non-convex data terms 1

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4th international conference on scale space and variational methods in computer vision, SSVM 2013

作者： Ranftl, Rene Pock, Thomas Bischof, Horst Institute for Computer Graphics and Vision Graz University of Technology Austria

ISBN: (数字)9783642382673

ISBN: (纸本)9783642382666

We introduce a method to approximately minimize variational models with Total Generalized Variation regularization (TGV) and non-convex data terms. Our approach is based on a decomposition of the functional into two subproblems, which can be both solved globally optimal. Based on this decomposition we derive an iterative algorithm for the approximate minimization of the original non-convex problem. We apply the proposed algorithm to a state-of-the-art stereo model that was previously solved using coarse-to-fine warping, where we are able to show significant improvements in terms of accuracy. © 2013 Springer-Verlag.

关键词： Iterative methods

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variational methods for motion deblurring with still background 1

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4th international conference on scale space and variational methods in computer vision, SSVM 2013

作者： Laue, Eileen Lorenz, Dirk A. Institute for Analysis and Algebra TU Braunschweig 38092 Braunschweig Germany

ISBN: (数字)9783642382673

ISBN: (纸本)9783642382666

Motion deblurring problems are considered, however, as additional difficulty we consider that the motion occurs in front of a still background. First we propose a model for the formation of this kind of partly blurred images which involve four unknown quantities: The object, the background, the blur kernel and a mask that encodes the shape of the object. Then we propose variational methods to solve the deblurring problem. We show that the method performs well if three of the sought-after quantities are known. Finally we show that the method even works for real world examples as soon as the user makes a crude selection of the blurred region in the image. © 2013 Springer-Verlag.

关键词： computers

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scale space operators on hierarchies of segmentations 1

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4th international conference on scale space and variational methods in computer vision, SSVM 2013

作者： Kiran, B. Ravi Serra, Jean Université Paris-Est Laboratoire d'Informatique Gaspard-Monge ESIEE France

ISBN: (数字)9783642382673

ISBN: (纸本)9783642382666

A hierarchy of segmentations(partitions) is a multiscale set representation of the image. This paper introduces a new set of scale space operators or transformations on the space of hierarchies of partitions. An ordering of hierarchies is proposed which is endowed by an ω-ordering based on a global energy over the classes of the hierarchy. A class of Matheron semigroups are shown to exists in this ordering of hierarchies. A second contribution is the saliency transformation which fuses a saliency function corresponding to a hierarchy, with an external function, rendering a new or transformed saliency function. The results are demonstrated on the Berkeley dataset. © 2013 Springer-Verlag.

关键词： Image segmentation

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Targeted iterative filtering 1

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4th international conference on scale space and variational methods in computer vision, SSVM 2013

作者： Åström, Freddie Felsberg, Michael Baravdish, George Lundström, Claes Computer Vision Laboratory Linköping University Sweden Center for Medical Image Science and Visualization Linköping University Sweden Department of Science and Technology Linköping University Sweden Sectra AB Sweden

ISBN: (数字)9783642382673

ISBN: (纸本)9783642382666

The assessment of image denoising results depends on the respective application area, i.e. image compression, still-image acquisition, and medical images require entirely different behavior of the applied denoising method. In this paper we propose a novel, nonlinear diffusion scheme that is derived from a linear diffusion process in a value space determined by the application. We show that application-driven linear diffusion in the transformed space compares favorably with existing nonlinear diffusion techniques. © 2013 Springer-Verlag.

关键词： Image denoising

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Multi scale shape index for 3D object recognition 1

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4th international conference on scale space and variational methods in computer vision, SSVM 2013

作者： Bonde, Ujwal Badrinarayanan, Vijay Cipolla, Roberto Deparment of Engineering University of Cambridge Cambridge United Kingdom

ISBN: (数字)9783642382673

ISBN: (纸本)9783642382666

We present Multi scale Shape Index (MSSI), a novel feature for 3D object recognition. Inspired by the scale space filtering theory and Shape Index measure proposed by Koenderink & Van Doorn [6], this feature associates different forms of shape, such as umbilics, saddle regions, parabolic regions to a real valued index. This association is useful for representing an object based on its constituent shape forms. We derive closed form scale space equations which computes a characteristic scale at each 3D point in a point cloud without an explicit mesh structure. This characteristic scale is then used to estimate the Shape Index. We quantitatively evaluate the robustness and repeatability of the MSSI feature for varying object scales and changing point cloud density. We also quantify the performance of MSSI for object category recognition on a publicly available dataset. © 2013 Springer-Verlag.

关键词： Object recognition

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Constrained sparse texture synthesis 1

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4th international conference on scale space and variational methods in computer vision, SSVM 2013

作者： Tartavel, Guillaume Gousseau, Yann Peyré, Gabriel LTCI CNRS Telecom ParisTech France Ceremade Université Paris-Dauphine France

ISBN: (数字)9783642382673

ISBN: (纸本)9783642382666

This paper presents a novel texture synthesis algorithm that performs a sparse expansion of the patches of the image in a dictionary learned from an input exemplar. The synthesized texture is computed through the minimization of a non-convex energy that takes into account several constraints. Our first contribution is the computation of a sparse expansion of the patches imposing that the dictionary atoms are used in the same proportions as in the exemplar. This is crucial to enable a fair representation of the features of the input image during the synthesis process. Our second contribution is the use of additional penalty terms in the variational formulation to maintain the histogram and the low frequency content of the input. Lastly we introduce a non-linear reconstruction process that stitches together patches without introducing blur. Numerical results illustrate the importance of each of these contributions to achieve state of the art texture synthesis. © 2013 Springer-Verlag.

关键词： computer vision

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variational method for computing average images of biological organs 1

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4th international conference on scale space and variational methods in computer vision, SSVM 2013

作者： Inagaki, Shun Imiya, Atsushi Hontani, Hidekata Hanaoka, Shouhei Masutani, Yoshitaka Graduate School of Advanced Integration Science Chiba University 1-33 Yayoi-cho Inage-ku Chiba 263-8522 Japan Institute of Media and Information Technology Chiba University 1-33 Yayoi-cho Inage-ku Chiba 263-8522 Japan Department of Computer Science Nagoya Institute of Technology Gokiso Showa-ku Nagoya Aichi 466-8555 Japan Department of Radiology University of Tokyo Hospital University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8655 Japan

ISBN: (数字)9783642382673

ISBN: (纸本)9783642382666

In this paper, we develop a variational method for the computation of average images of biological organs in three-dimensional Euclidean space. The average of three-dimensional biological organs is an essential feature to discriminate abnormal organs from normal organs. We combine the diffusion registration technique and optical flow computation for the computation of spatial deformation field between the averages and each input organ. We define the average as the shape which minimises the total deformation. © 2013 Springer-Verlag.

关键词： Biological organs

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Wimmelbild analysis with approximate curvature coding distance images 1

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4th international conference on scale space and variational methods in computer vision, SSVM 2013

作者： Bergbauer, Julia Tari, Sibel TU Munich Garching bei Muenchen DE-85747 Germany Middle East Technical University Ankara TR-06800 Turkey

ISBN: (数字)9783642382673

ISBN: (纸本)9783642382666

We consider a task of tracing out target figures hidden in teeming figure pictures come to known as Wimmelbild(er). Wimmelbild is a popular genre of visual puzzles;a timeless classic for children, artists and cognitive scientists. Particularly suited to the considered task, we propose a diffuse representation which serves as a heuristic approximation mimicking curvature coding distance images. Curvature coding distance images received increased attention in recent years. Typically, they are computed as solutions to variants of Poisson PDE. The proposed approximation is based on erosion of the white space (background) followed by isotropic averaging, hence, does not require solving a PDE. © 2013 Springer-Verlag.

关键词： Numerical methods

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