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Yearbook2 2018

1 M al m ö A rt A ca de m y 20 17 – 20 18 Masters of Fine Arts – Year 1 Masters of Fine Arts – Critical & Pedagogical Studies – Year 1 Bachelor of Fine Arts – Year 2 Bachelor of Fine Arts – Year 1 2M al m ö A rt A ca de m y M al m ö A rt A ca de m y 20 17  –  2 01 8 20 17  –  2 01 8 20 17  –  2 01 8 3 Andreas Bentdal Amble Rannveig Jónsdóttir Carl-Oskar Jonsson Cecilia Kanthi Jonsson Gabriel Karls

https://www.khm.lu.se/en/sites/khm.lu.se.en/files/yearbook2_2018.pdf - 2026-05-30

Pres wosg open science

PowerPoint Presentation Web of Science Group and Open Science Bob Green Lale Yurtsever October 2019 Lund Online The Web of Science Group believes that open science/open research initiatives will help science be more efficient, improve research outcomes, and establish public confidence in science. As a producer of publisher neutral resources, we are uniquely positioned to provide data and services

https://www.lub.lu.se/en/sites/lub.lu.se.en/files/pres_wosg_open_science.pdf - 2026-05-30

Policy-brief-2019-final-draft barry ness

Solid Waste Management RECOMMENDATIONS FOR KISUMU, KENYA Mistra Urban Futures Policy Brief 2019:1 Kisumu City generates approximately 400 tonnes of solid waste per day, 20%- 25% of which is collected to the open dump site. Of the total municipal solid waste that is collected, 65% is organic and another 27% is recyclable (County of Kisumu, 2015). The collection and handling of municipal solid waste

https://www.lucsus.lu.se/sites/lucsus.lu.se/files/policy-brief-2019-final-draft_barry_ness.pdf - 2026-05-30

Relative pose estimation in binocular vision for a planar scene using inter-image homographies

In this paper we consider a mobile platform with two cameras directed towards the floor mounted the same distance from the ground, assuming planar motion and constant internal parameters. Earlier work related to this specific problem geometry has been carried out for monocular systems, and the main contribution of this paper is the generalization to a binocular system and the recovery of the relat

Online Learning and Placement Algorithms for Efficient Delivery of User Generated Contents in Telco-CDNs

User generated content (UGC) makes up a significant portion of Internet traffic. As opposed to other content, UGC has so far been left outside over-the-top providing network operators content distribution networks (telco-CDN) due to the difficulty in determining optimised placement of such content. The side effect of this is that UGC content is not placed close to end users and therefore occupy un

Strategic communication management in the non-profit adult literacy sector

In 2007 more than a quarter (26%) of the South African adult population was functionally illiterate. As a result many non-profit organisations (NPOs) in South Africa strive to raise adult literacy levels. Adult illiteracy leads to problems such as, amongst others, high levels of unemployment, poverty and crime.Most NPOs do not practice strategic communication management to build strong, lasting an

Robust time-of-arrival self calibration and indoor localization using Wi-Fi round-trip time measurements

The problem of estimating receiver-sender node positions from measured receiver-sender distances is a key issue in different applications such as microphone array calibration, radio antenna array calibration, mapping and positioning using UWB and mapping and positioning using round-trip-time measurements between mobile phones and Wi-Fi-units. Thanks to recent research in this area we have an incre

The Stockholm Festival, 1966

The article is an introduction to the festival 'Visioner av Nuet' Stockholm, 1966. The article focuses on the historical event, and contextualizes it to both the discussions on art and technology at the time, and to the planned collaborations with the prominent artists from the American group E.A.T. such as Billy Klüver, John Cage, Robert Rauchenberg and Öyvind Fahlström, - collaborations that nev

Transferring and compressing convolutional neural networks for face representations

In this work we have investigated face verification based on deep representations from Convolutional Neural Networks (CNNs) to find an accurate and compact face descriptor trained only on a restricted amount of face image data. Transfer learning by fine-tuning CNNs pre-trained on large-scale object recognition has been shown to be a suitable approach to counter a limited amount of target domain da

Recovering Planar Motion from Homographies Obtained using a 2.5-Point Solver for a Polynomial System

We present a minimal solver for a special kind of homography arising in applications with planar camera motion (e.g. mobile robotics applications). Since the camera motion we consider only has five degrees of freedom, an explicit parametrisation allows us to reduce the required number of point correspondences to 2.5. Using fewer point correspondences is beneficial when used together with RANSAC, b

From Apocalyptic Demonization to Theological Responsibility

As the effects of climate change, political upheaval and ravaging war are palpable, apocalyptic images as well as the concept ‘apocalyptic’ are today regularly invoked in politics, popular culture and mass media. This essay ponders the potential dangers of the apocalyptic imaginary, especially its tendency to encourage idealization of one’s own community and demonization of the other. As carriers

Beyond Gröbner Bases : Basis Selection for Minimal Solvers

Many computer vision applications require robust estimation of the underlying geometry, in terms of camera motion and 3D structure of the scene. These robust methods often rely on running minimal solvers in a RANSAC framework. In this paper we show how we can make polynomial solvers based on the action matrix method faster, by careful selection of the monomial bases. These monomial bases have trad

Camera Pose Estimation with Unknown Principal Point

To estimate the 6-DoF extrinsic pose of a pinhole camera with partially unknown intrinsic parameters is a critical sub-problem in structure-from-motion and camera localization. In most of existing camera pose estimation solvers, the principal point is assumed to be in the image center. Unfortunately, this assumption is not always true, especially for asymmetrically cropped images. In this paper, w

Radially-Distorted Conjugate Translations

This paper introduces the first minimal solvers that jointly solve for affine-rectification and radial lens distortion from coplanar repeated patterns. Even with imagery from moderately distorted lenses, plane rectification using the pinhole camera model is inaccurate or invalid. The proposed solvers incorporate lens distortion into the camera model and extend accurate rectification to wide-angle

3D Human Sensing, Action and Emotion Recognition in Robot Assisted Therapy of Children with Autism

We introduce new, fine-grained action and emotion recognition tasks defined on non-staged videos, recorded during robot-assisted therapy sessions of children with autism. The tasks present several challenges: a large dataset with long videos, a large number of highly variable actions, children that are only partially visible, have different ages and may show unpredictable behaviour, as well as non

Rotation Averaging and Strong Duality

In this paper we explore the role of duality principles within the problem of rotation averaging, a fundamental task in a wide range of computer vision applications. In its conventional form, rotation averaging is stated as a minimization over multiple rotation constraints. As these constraints are non-convex, this problem is generally considered challenging to solve globally. We show how to circu