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Träfflista för sökning "WFRF:(Olsson Carl) "

Sökning: WFRF:(Olsson Carl)

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1.
  • Hatti, Neelambar, et al. (författare)
  • Economists and Poverty : Introduction
  • 2005
  • Ingår i: Economists and Poverty : From Adam Smith to Amartya Sen - From Adam Smith to Amartya Sen. - 8179360164 ; , s. 1-18
  • Bokkapitel (refereegranskat)
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  • Ulén, Johannes, et al. (författare)
  • Simultaneous Fusion Moves for 3D-label Stereo
  • 2013
  • Ingår i: Lecture Notes in Computer Science Vol. 8081 (Energy Minimization Methods in Computer Vision and Pattern Recognition). - Berlin, Heidelberg : Springer Berlin Heidelberg. - 0302-9743 .- 1611-3349. - 9783642403941 - 9783642403958 ; 8081, s. 80-93
  • Konferensbidrag (refereegranskat)abstract
    • Second derivative regularization methods for dense stereo matching is a topic of intense research. Some of the most successful recent methods employ so called binary fusion moves where the combination of two proposal solutions is computed. In many cases the fusion move can be solved optimally, but the approach is limited to fusing pairs of proposals in each move. For multiple proposals iterative binary fusion may potentially lead to local minima. In this paper we demonstrate how to simultaneously fuse more than two proposals at the same time for a 2nd order stereo regularizer. The optimization is made possible by effectively computing a generalized distance transform. This allows for computation of messages in linear time in the number of proposals. In addition the approach provides a lower bound on the globally optimal solution of the multi-fusion problem. We verify experimentally that the lower bound is very close to the computed solution, thus providing a near optimal solution.
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  • Bylow, Erik, et al. (författare)
  • Robust online 3D reconstruction combining a depth sensor and sparse feature points
  • 2016
  • Ingår i: Proceedings - International Conference on Pattern Recognition. - 1051-4651. - 9781509048472 ; , s. 3709-3714
  • Konferensbidrag (refereegranskat)abstract
    • Online 3D reconstruction has been an active research area for a long time. Since the release of the Microsoft Kinect Camera and publication of KinectFusion [11] attention has been drawn how to acquire dense models in real-time. In this paper we present a method to make online 3D reconstruction which increases robustness for scenes with little structure information and little texture information. It is shown empirically that our proposed method also increases robustness when the distance between the camera positions becomes larger than what is commonly assumed. Quantitative and qualitative results suggest that this approach can handle situations where other well-known methods fail. This is important in, for example, robotics applications like when the camera position and the 3D model must be created online in real-time.
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  • Jakobsson, Joel, et al. (författare)
  • Monocyte and microglial activation in patients with mood-stabilized bipolar disorder.
  • 2015
  • Ingår i: Journal of psychiatry & neuroscience : JPN. - : CMA Joule Inc.. - 1488-2434 .- 1180-4882. ; 40:2
  • Tidskriftsartikel (refereegranskat)abstract
    • Bipolar disorder is associated with medical comorbidities that have been linked to systemic inflammatory mechanisms. There is, however, limited evidence supporting a role of neuroinflammation in bipolar disorder. Here we tested whether microglial activation and associated tissue remodelling processes are related to bipolar disorder by analyzing markers in cerebrospinal fluid (CSF) and serum from patients and healthy controls.
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  • Larsson, Viktor, et al. (författare)
  • A Simple Method for Subspace Estimation with Corrupted Columns
  • 2016
  • Ingår i: Proceedings of the IEEE International Conference on Computer Vision. - 1550-5499. - 9781467383905 ; 2016-February, s. 841-849
  • Konferensbidrag (refereegranskat)abstract
    • This paper presents a simple and effective way of solving the robust subspace estimation problem where the corruptions are column-wise. The method we present can handle a large class of robust loss functions and is simple to implement. It is based on Iteratively Reweighted Least Squares (IRLS) and works in an iterative manner by solving a weighted least-squares rank-constrained problem in every iteration. By considering the special case of column-wise loss functions, we show that each such surrogate problem admits a closed form solution. Unlike many other approaches to subspace estimation, we make no relaxation of the low-rank constraint and our method is guaranteed to produce a subspace estimate with the correct dimension. Subspace estimation is a core problem for several applications in computer vision. We empirically demonstrate the performance of our method and compare it to several other techniques for subspace estimation. Experimental results are given for both synthetic and real image data including the following applications: linear shape basis estimation, plane fitting and non-rigid structure from motion.
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  • Resultat 1-10 av 480
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Olsson, Carl, 1978 (20)
Olsson, Lisbeth, 196 ... (19)
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Lundström, Carl Pete ... (17)
Olsson, Samuel L I, ... (17)
Eckerström, Carl (17)
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Olsson, Carl-Johan, ... (16)
Olsson, Carl-Johan (16)
Wallin, Anders, 1950 (15)
Olsson, Erik, 1960 (15)
Olsson, Carl-Gustav (14)
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Kahl, Fredrik, 1972 (13)
Wingren, Christer (13)
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Malmgren, Helge, 194 ... (11)
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Olsson, Nils (10)
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Olsson, Tommy (9)
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Rolstad, Sindre, 197 ... (8)
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