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description= Personal webpage of Jan Kautz.;
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ve been proposed e g anisotropic diffusion neighborhood filtering and specialized wavelet bases while these methods have demonstrated successful results they come at the price of additional complexity often accompanied by higher computational cost or the need to post process the generated results in this paper we show state of the art edge aware processing using standard laplacian pyramids we characterize edges with a simple threshold on pixel values that allows us to differentiate large scale edges from small scale details building upon this result we propose a set of image filters to achieve edge preserving smoothing detail enhancement tone mapping and inverse tone mapping the advantage of our approach is its simplicity and flexibility relying only on simple point wise nonlinearities and small gaussian convolutions no optimization or post processing is required as we demonstrate our method produces consistently high quality results without degrading edges or introducing halos acm mm speaker following video subtitles y hu j kautz y yu and w wang acm transactions on multimedia computing communications and applications 11 2 january 2015 pages 32 1 32 17 acm dl arxiv we propose a new method for improving the presentation of subtitles in video e g tv and movies with conventional subtitles the viewer has to constantly look away from the main viewing area to read the subtitles at the bottom of the screen which disrupts the viewing experience and causes unnecessary eyestrain our method places on screen subtitles next to the respective speakers to allow the viewer to follow the visual content while simultaneously reading the subtitles we use novel identification algorithms to detect the speakers based on audio and visual information then the placement of the subtitles is determined using global optimization a comprehensive usability study indicated that our subtitle placement method outperformed both conventional fixed position subtitling and another previous dynamic subtitling method in terms of enhancing the overall viewing experience and reducing eyestrain 2014 siggraph asia flexisp a flexible camera image processing framework f heide m steinberger y t tsai n rouf d pajak d reddy o gallo j liu w heidrich k egiazarian j kautz k pulli acm transactions on graphics proceedings siggraph asia 2014 33 6 december 2014 pages 231 1 231 13 pdf supplemental pdf supplemental webpage conventional pipelines for capturing displaying and storing images are usually defined as a series of cascaded modules each responsible for addressing a particular problem while this divide and conquer approach offers many benefits it also introduces a cumulative error as each step in the pipeline only considers the output of the previous step not the original sensor data we propose an end to end system that is aware of the camera and image model enforces natural image priors while jointly accounting for common image processing steps like demosaicking denoising deconvolution and so forth all directly in a given output representation e g yuv dct our system is flexible and we demonstrate it on regular bayer images as well as images from custom sensors in all cases we achieve large improvements in image quality and signal reconstruction compared to state of the art techniques finally we show that our approach is capable of very efficiently handling high resolution images making even mobile implementations feasible cvmp device effect on panoramic video context tasks f pece j tompkin h pfister j kautz c theobalt conference on visual media production cvmp 2014 november 2014 pdf panoramic imagery is viewed daily by thousands of people and panoramic video imagery is becoming more common this imagery is viewed on many different devices with different properties and the effect of these differences on spatio temporal task performance is yet untested on these imagery we adapt a novel panoramic video interface and conduct a user study to discover whether display type affects spatio temporal reasoning task performance across desktop monitor tablet and head mounted displays we discover that in our complex reasoning task hmds are as effective as desktop displays even if participants felt less capable but tablets were less effective than desktop displays even though participants felt just as capable our results impact virtual tourism telepresence and surveillance applications and so we state the design implications of our results for panoramic imagery systems accvw user directed multi view stereo y doron n campbell j starck j kautz workshop on user centred computer vision at accv november 2014 pdf talk depth reconstruction from video footage and image collections is a fundamental part of many modelling and image based rendering applications however real world scenes often contain limited texture information repeated elements and other ambiguities which remain challenging for fully automatic algorithms this paper presents a technique that combines intuitive user constraints with dense multi view stereo reconstruction by providing annotations in the form of simple paint strokes a user can guide a multi view stereo algorithm and avoid common failure cases we show how smoothness discontinuity and depth ordering constraints can be incorporated directly into a variational optimization framework for multi view stereo our method avoids the need for heuristic approaches that edit a depth map in a sequential process and avoids requiring the user to accurately segment object boundaries or to directly model geometry we show how with a small amount of intuitive input a user may create improved depth maps in challenging cases for multi view stereo ijcv pmbp patchmatch belief propagation for correspondence field estimation f besse a w fitzgibbon c rother j kautz international journal of computer vision 110 1 october 2014 pages 2 13 doi patchmatch pm is a simple yet very powerful and successful method for optimizing continuous labelling problems the algorithm has two main ingredients the update of the solution space by sampling and the use of the spatial neighbourhood to propagate samples we show how these ingredients are related to steps in a specific form of belief propagation bp in the continuous space called max product particle bp mp pbp however mp pbp has thus far been too slow to allow complex state spaces in the case where all nodes share a common state space and the smoothness prior favours equal values we show that unifying the two approaches yields a new algorithm pmbp which is more accurate than pm and orders of magnitude faster than mp pbp to illustrate the benefits of our pmbp method we have built a new stereo matching algorithm with unary terms which are borrowed from the recent pm stereo work and novel realistic pairwise terms that provide smoothness we have experimentally verified that our method is an improvement over state of the art techniques at sub pixel accuracy level eccv highly overparameterized optical flow using patchmatch belief propagation m hornacek f besse j kautz a fitzgibbon c rother european conference on computer vision eccv 2014 september 2014 pages 220 234 pdf motion in the image plane is ultimately a function of 3d motion in space we propose to compute optical flow using what is ostensibly an extreme overparameterization depth surface normal and frame to frame 3d rigid body motion at every pixel giving a total of 9 dof the advantages of such an overparameterization are twofold first geometrically meaningful reasoning can be called upon in the optimization reflecting possible 3d motion in the underlying scene second the fronto parallel assumption implicit in the use of traditional matching pixel windows is ameliorated because the parameterization determines a plane induced homography at every pixel we show that optimization over this high dimensional continuous state space can be carried out using an adaptation of the recently introduced patchmatch belief propagation pmbp energy minimization algorithm and that the resulting flow fields compare favorably to the state of the art on a number of small and large displacement datasets siggraph fast local laplacian filters theory and applications m aubry s paris s hasinoff j kautz f durand acm transactions on graphics presented at siggraph 2014 33 5 august 2014 pages 167 1 167 15 pdf www multi scale manipulations are central to image editing but they are also prone to halos achieving artifact free results requires sophisticated edge aware techniques and careful parameter tuning these shortcomings were recently addressed by the local laplacian filters which can achieve a broad range of effects using standard laplacian pyramids however these filters are slow to evaluate and their relationship to other approaches is unclear in this paper we show that they are closely related to anisotropic diffusion and to bilateral filtering our study also leads to a variant of the bilateral filter that produces cleaner edges while retaining its speed building upon this result we describe an acceleration scheme for local laplacian filters on gray scale images that yields speed ups on the order of 50x finally we demonstrate how to use local laplacian filters to alter the distribution of gradients in an image we illustrate this property with a robust algorithm for photographic style transfer siggraph learning a manifold of fonts n campbell j kautz acm transactions on graphics proceedings siggraph 2014 33 4 august 2014 pages 91 1 91 11 pdf supplemental www the design and manipulation of typefaces and fonts is an area requiring substantial expertise it can take many years of study to become a proficient typographer at the same time the use of typefaces is ubiquitous there are many users who while not experts would like to be more involved in tweaking or changing existing fonts without suffering the learning curve of professional typography packages given the wealth of fonts that are available today we would like to exploit the expertise used to produce these fonts and to enable everyday users to create explore and edit fonts to this end we build a generative manifold of standard fonts every location on the manifold corresponds to a unique and novel typeface and is obtained by learning a non linear mapping that intelligently interpolates and extrapolates existing fonts using the manifold we can smoothly interpolate and move between existing fonts we can also use the manifold as a constraint that makes a variety of new applications possible for instance when editing a single character we can update all the other glyphs in a font simultaneously to keep them compatible with our changes siggraph cascaded displays spatiotemporal superresolution using offset pixel layers f heide d lanman d reddy j kautz k pulli d luebke acm transactions on graphics proceedings siggraph 2014 33 4 august 2014 pages 60 1 60 11 pdf www we demonstrate that layered spatial light modulators slms subject to fixed lateral displacements and refreshed at staggered intervals can synthesize images with greater spatiotemporal resolution than that afforded by any single slm used in their construction dubbed cascaded displays such architectures enable superresolution flat panel displays e g using thin stacks of liquid crystal displays lcds and digital projectors e g relaying the image of one slm onto another we introduce a comprehensive optimization framework leveraging non negative matrix and tensor factorization that decomposes target images and videos into multi layered time multiplexed attenuation patternsâ offering a flexible trade off between apparent image brightness spatial resolution and refresh rate through this analysis we develop a real time dual layer factorization method that quadruples spatial resolution and doubles refresh rate compared to prior superresolution displays cascaded displays place fewer restrictions on the hardware offering thin designs without moving parts or the necessity of temporal multiplexing furthermore cascaded displays are the first use of multi layer displays to increase apparent temporal resolution we validate these concepts using two custom built prototypes a dual layer lcd and a dual modulation liquid crystal on silicon lcos projector with the former emphasizing head mounted display hmd applications egsr error analysis of estimators that use combinations of stochastic sampling strategies for direct illumination k subr d nowrouzezahrai w jarosz j kautz k mitchell computer graphics forum proceedings egsr 2014 33 4 july 2014 pages 93 102 pdf we present a theoretical analysis of error of combinations of monte carlo estimators used in image synthesis importance sampling and multiple importance sampling are popular variance reduction strategies unfortunately neither strategy improves the rate of convergence of monte carlo integration jittered sampling a type of stratified sampling on the other hand is known to improve the convergence rate most rendering software optimistically combine importance sampling with jittered sampling hoping to achieve both we derive the exact error of the combination of multiple importance sampling with jittered sampling in addition we demonstrate a further benefit of introducing negative correlations antithetic sampling between estimates to the convergence rate as with importance sampling antithetic sampling is known to reduce error for certain classes of integrands without affecting the convergence rate in this paper our analysis and experiments reveal that importance and antithetic sampling if used judiciously and in conjunction with jittered sampling may improve convergence rates we show the impact of such combinations of strategies on the convergence rate of estimators for direct illumination cvpr hierarchical subquery evaluation for active learning on a graph o mac aodha n campbell j kautz g brostow ieee conference on computer vision and pattern recognition cvpr june 2014 oral pdf webpage to train good supervised and semi supervised object classifiers it is critical that we not waste the time of the human experts who are providing the training labels existing active learning strategies can have uneven performance being efficient on some datasets but wasteful on others or inconsistent just between runs on the same dataset we propose perplexity based graph construction and a new hierarchical subquery evaluation algorithm to combat this variability and to release the potential of expected error reduction under some specific circumstances expected error reduction has been one of the strongest performing informativeness criteria for active learning until now it has also been prohibitively costly to compute for sizeable datasets we demonstrate our highly practical algorithm comparing it to other active learning measures on classification datasets that vary in sparsity dimensionality and size our algorithm is consistent over multiple runs and achieves high accuracy while querying the human expert for la...
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