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In this paper we present a unified formulation for a large class of relative pose problems with radial distortion and varying calibration. For minimal cases, we show that one can eliminate the number of parameters down to one to three. The relative pose can then be expressed using varying calibration constraints on the fundamental matrix, with entries that are polynomial in the parameters. We can
Antibiotic resistance threatens global public health. Clinical methods that simplify and accelerate resistance diagnosis are urgently needed. Here we describe a function-based antibiotic resistance detection and classification strategy to improve diagnosis. The method identifies resistance enzymes by directly measuring the thermal signal generated when an antibiotic i enzymatically degraded. A sub
Summary form only given. The windmill technique is an attractive alternative to the Lempel-Eastman technique for fast m-sequence generation. The author has generalized the class of linear recurrence relations for which the windmill technique results in an m-sequence generator. A converse to a set of known necessary conditions has been obtained.
We present a new SAH guided approach to subdividing triangles as the scene is coarsely partitioned into smaller sets of spatiallycoherent triangles. Our triangle split approach is integrated into the partitioning stage of a fast BVH construction algorithm, butmay as well be used as a stand alone pre-split pass. Our algorithm significantly reduces the number of split triangles comparedto previous m
Multi-atlas segmentation has become a frequently used tool for medical image segmentation due to its outstanding performance. A computational bottleneck is that all atlas images need to be registered to a new target image. In this paper, we propose an intermediate representation of the whole atlas set – an überatlas – that can be used to speed up the registration process. The representation consis
Statistical shape models based on point distribution models are powerful tools for image segmentation or shape analysis. The most challenging part in the generation of point distribution models is the identification of corresponding landmarks among all training shapes. Since in general the true correspondences are unknown, correspondences are frequently established under the hypothesis that correc
A deep understanding of double-directional wireless channels is imperative for wireless system design. This necessitates the development of precise channel models through channel sounding. Given the dynamic nature of wireless channels, a short measurement time is highly desirable. In this paper, we present and validate a dual-polarized millimeter-wave channel sounder that uses a rotating mirror me
This paper presents computationally efficient implementations for Iterative Adaptive Approach (IAA) spectral estimation techniques for uniformly sampled data sets. By exploiting the methods inherent low displacement rank, together with the development of suitable Gohberg-Semencul representations, and the use of data dependent trigonometric polynomials, the proposed implementations are shown to off
The onset of formulating strategies and policies regarding the bioeconomy can be, at least partly, attributed to the publication of the bioeconomy policy agenda by the OECD in 2009. The aim of this study is to analyse selected national strategies and policies regarding the development of a bioeconomy and to clarify similarities and differences between them. The article presents a comparative overv
American consumption based lifestyles have a grave impact on the environment and personal wellbeing of Americans, creating unhealthy consumption patterns, unforeseen negative effects on individuals, and ultimately unsustainable lifestyles overall. Voluntary simplicity (VS), or individuals who resist consumerist tendencies seeking a higher quality of life through simplicity, is an answer to these c
This thesis compares Auto Regressive Moving Average (ARMA) and Generalized Auto Regressive Conditional Heteroscedacity (GARCH) models for three metal commodities. ARMA models have an unconditionally non-random and constant variance, which typically serves well in effectively representing homoscedastic data. The GARCH models feature variable variance that is non-random when conditioning on the past
Diagnostik av cancer avseende typ och ursprung är tillsammans med hur avancerad cancern är och om vissa särskilda tumöregenskaper föreligger de viktigaste faktorerna för val av behandling. Cancer diagnostiseras i de flesta fall med hjälp av mikroskop. Cancer i lunga kan vara svårdiagnostiserad då man ofta har tillgång till begränsad mängd vävnad från provtagning från tumören, och immunhistokemiskaDiagnostics of cancer concerning type and origin is, together with cancer stage and some specific tumor characteristics, the most important factors for treatment selection. Most cancers are diagnosed using a microscope. Pulmonary cancers may be tricky to diagnose as there is often limited tissue to examine from the tumor sampling, and immunohistochemical analyses are often necessary for subtyping
This project is a collaboration between Lund University Historical Museum, Lund University Library and various departments of the university. The team members represent the fields of history, archaeology, Latin language studies, anthropology, museology, geology, botany and zoology. This combined expertise is necessary to tackle the diverse material and questions posed in the project. Per Karsten,
https://www.historiskamuseet.lu.se/stobaeus-project/stobaeus-project/research-team - 2026-07-07
Our mission is to establish a major trans-faculty bio-imaging center at Lund University (Lund University Bioimaging Center), combining knowledge in the fields of medical physics, preclinical and clinical medicine, chemistry, technology and applied mathematics in order to develop imaging methods for the advanced study of human morphology, cellular metabolism and physiological function in health and
