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Microsoft Word - HILMA 2007-12-07.doc HILMA Historiska Institutionen i Lund Meddelar Att… Årgång 33, 2007/08, Nr 6, 2007-12-07 Underlagen till HILMA förvaras i pärmar som står i rum 209, på hyllan ovanför faxen. Där hittar du ytterligare information om seminarier, anställningsvillkor, stipendier och annat samt ansök- ningsblanketter i förekommande fall. De sistnämnda, som är samlade i en separat p

https://www.hist.lu.se/fileadmin/_migrated/content_uploads/hilma_ht07_6_03.pdf - 2026-05-14

RUCARR Roundtable with RWI Armenia Research Fellows: Armenia’s Human Rights agenda: efforts amidst social and security challenges - The Raoul Wallenberg Institute of Human Rights and Humanitarian Law Skip to content Search for: Search Button Home About Us Who We Are Our History About Raoul Wallenberg Our Theory of Change Staff Opportunities Annual Reports Whistleblower Our work What we do Multi-Di

https://rwi.lu.se/news/rucarr-roundtable-with-rwi-armenia-research-fellows/ - 2026-05-14

 KursansvarigHelena Hansonhelena [dot] hanson [at] cec [dot] lu [dot] se (helena[dot]hanson[at]cec[dot]lu[dot]se)KurslitteraturLitteraturlistan består av obligatorisk litteratur och referenslitteratur. Litteratur tillkommer i relation till Övningar och Uppgifter. En del av litteraturen är tillgänglig via LUBcat-katalog. LUBcat-katalogObligatorisk litteraturAyers, J.C. (2017). Sustainability: An En

https://www.cec.lu.se/sv/litteraturlista-grundkurs-miljovetenskap-mvea10-hostterminen-2024 - 2026-05-13

RWI starts cooperation with Lindahl - The Raoul Wallenberg Institute of Human Rights and Humanitarian Law Skip to content Search for: Search Button Home About Us Who We Are Our History About Raoul Wallenberg Our Theory of Change Staff Opportunities Annual Reports Whistleblower Our work What we do Multi-Disciplinary Research Higher Education Strategic Advice and Analysis Outreach Evaluation of Prog

https://rwi.lu.se/news/rwi-starts-cooperation-with-lindahl/ - 2026-05-14

Is the real problem in finding the relative orientation of two viewpoints the correspondence problem? We argue that this is only one difficulty. Even with known correspondences, popular methods like the eight point algorithm and minimal solvers may break down due to planar scenes or small relative motions. In this paper, we derive a simple, brute-force algorithm which is both robust to outliers an

Recent work on geometric vision problems has exploited convexity properties in order to obtain globally optimal solutions. In this paper we give an overview of these developments and show the tight connections between different types of convexity and optimality conditions for a large class of multiview geometry problems. We also show how the convexity properties are closely linked to different typ

Graph cuts methods are at the core of many state-of-the-art algorithms in computer vision due to their efficiency in computing globally optimal solutions. In this paper, we solve the maximum flow/minimum cut problem in parallel by splitting the graph into multiple parts and hence, further increase the computational efficacy of graph cuts. Optimality of the solution is guaranteed by dual decomposit

Energies with high-order non-submodular interactions have been shown to be very useful in vision due to their high modeling power. Optimization of such energies, however, is generally NP-hard. A naive approach that works for small problem instances is exhaustive search, that is, enumera- tion of all possible labelings of the underlying graph. We propose a general minimization approach for large gr

In this thesis some research questions regarding durability and quality of roads has been investigated. The questions are analyzed from an image analysis point of view and aims to be a complement to existing methods for analyzing asphalt. One important factor for the durability of the asphalt layer on roads is the affinity between the stones in the asphalt and the binder that holds the stones tog

We study and solve the previously unstudied problem of finding both transmitter and receiver positions using only time of arrival (TOA) measurements when there is a difference in dimensionality between the affine subspaces spanned by receivers and transmitters. Anchor-free TOA network calibration has uses both in radio, radio strength and sound applications, such as calibrating ad hoc microphone a

Stereo matching is an inherently difficult problem due to ambiguous and noisy texture. The non-convexity and non- differentiability makes local linear (or quadratic) approximations poor, thereby preventing the use of standard local descent methods. Therefore recent methods are predominantly based on discretization and/or random sampling of some class of approximating surfaces (e.g. planes). While

Boundary detection is a fundamental computer vision problem that is essential for a variety of tasks, such as contour and region segmentation, symmetry detection and object recognition and categorization. We propose a generalized formulation for boundary detection, with closed-form solution, applicable to the localization of different types of boundaries, such as object edges in natural images and

Patients waiting for heart transplantation due to a failing heart can get a left ventricular assist device (LVAD) implanted through open chest surgery. The device consists of a pump that pumps blood from the left ventricle into the aorta. To get the correct rotation speed of the pump, the physicians consider a number of measurements as well as a sequence of echocardiographic images. The important

This paper is concerned with model fitting in the presence of noise and outliers. Previously it has been shown that the number of outliers can be minimized with polynomial complexity in the number of measurements. This paper improves on these results in two ways. First, it is shown that for a large class of problems, the statistically more desirable truncated L-2-norm can be optimized with the sam

The problem of fitting models to measured data has been studied extensively, not least in the field of computer vision. A central problem in this field is the difficulty in reliably find corresponding structures and points in different images, resulting in outlier data. This thesis presents theoretical results improving the understanding of the connection between model parameter estimation and pos

This work presents a study of sensor network calibration from time-difference-of-arrival (TDOA) measurements for cases when the dimensions spanned by the receivers and the transmitters differ. This could for example be if receivers are restricted to a line or plane or if the transmitting objects are moving linearly in space. Such calibration arises in several applications such as calibration of (a

The ability to quickly acquire 3D models is an essential capability needed in many disciplines including robotics, computer vision, geodesy, and architecture. In this paper we present a novel method for real-time camera tracking and 3D reconstruction of static indoor environments using an RGB-D sensor. We show that by representing the geometry with a signed distance function (SDF), the camera pose

The estimation of three-dimensional position information from two-dimensional images in computer vision systems can be formulated as a state estimation problem for a nonlinear perspective dynamic system. The multi-output state estimation problem has been treated by several authors using methods for nonlinear observer design. This paper shows that a perspective system can be transformed to two obse

This thesis concerns ego-motion and pose estimation of a single camera under the assumptions of planar motion and constant internal camera parameters. Planar motion is common for cameras mounted onto mobile robots, particularly in indoor scenarios, as they remain at a constant height above the ground plane. In Paper A, a parametrisation of the camera motion and pose is presented, along with an ite

In this paper, we study machine learning techniques and features of electroencephalography activity bursts for predicting outcome in extremely preterm infants. It was previously shown that the distribution of interburst interval durations predicts clinical outcome, but in previous work the information within the bursts has been neglected. In this paper, we perform exploratory analysis of feature e