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Line segments are powerful features complementary to points. They offer structural cues, robust to drastic viewpoint and illumination changes, and can be present even in texture-less areas. However, describing and matching them is more challenging compared to points due to partial occlusions, lack of texture, or repetitiveness. This paper introduces a new matching paradigm, where points, lines, an
In this paper we introduce the Tangent Sampson error, which is a generalization of the classical Sampson error in two-view geometry that allows for arbitrary central camera models. It only requires local gradients of the distortion map at the original correspondences (allowing for pre-computation) resulting in a negligible increase in computational cost when used in RANSAC or local refinement. The
In contrast to sparse keypoints, a handful of line segments can concisely encode the high-level scene layout, as they often delineate the main structural elements. In addition to offering strong geometric cues, they are also omnipresent in urban landscapes and indoor scenes. Despite their apparent advantages, current line-based reconstruction methods are far behind their point-based counterparts.
Finding the optimal subset of individuals to observe in order to obtain the best estimate of the average opinion of a society is a crucial problem in a wide range of applications, including policy-making, strategic business decisions, and the analysis of sociological trends. We consider the opinion vector X to be updated according to a DeGroot opinion dynamical model with stubborn agents, subject
Software applications can be described using a computational model. These Models of Computation (MoCs) define rules governing application behaviour and properties that are enforced during execution. This thesis focuses on an actor-based MoC, known as dataflow-with-firing, where applications are modelled as actors connected by buffered channels. This model yields a concurrent application descriptio
Age of Information (AoI) is a widely used metric to quantify the freshness of updates in communication systems. Existing AoI analyses implicitly assume a shared or synchronized notion of time between transmitter and receiver, thereby neglecting distortions arising from relative motion and gravitational effects. In this paper, we investigate the impact of relativistic time dilation on information f
Rapid warming in the Arctic is transforming northern ecosystems and altering their role in the global carbon cycle. Rising temperatures are driving shifts in vegetation composition, phenology, and ecosystem functioning, including earlier growing seasons and the expansion of shrubs across tundra landscapes. These changes influence surface energy balance, carbon uptake, and climate feedbacks, yet su
Combinatorial optimization is a powerful way to solve complex problems, like planning, scheduling, or hardware verification, by expressing the problem in a mathematical form using discrete variables that can be solved by general solvers. Due to major advances in algorithms for solving combinatorial optimization problems, these solvers can tackle real-world challenges efficiently. However, as solve
The measurement and the investigation of the errors in a Couette rheometer have been a topic of considerable interest in many rheometric studies. In the present study, a more accurate predictor-corrector method based on CFD and the analytical solution of the problem is described. Comparing to the previous CFD-based method, in addition to considering the effect of the end parts, the presented corre
Students completing a Swedish Master’s degree in engineering should have knowledge and skills to independently solve engineering issues. This autonomy should be developed and demonstrated within the M.Sc. project course. But, how can supervisors encourage independence? We have explored this in a case study through semi-structured interviews with students, supervisors and examiners of two M.Sc. pro
Supervising a student can be compared to teaching someone to drive a car. The student is in the driver’s seat while the supervisor provides structure and guidance, and can intervene in risky and unsafe situations. It is a learning process in which the student gradually gains experience and sufficient skill to obtain a driving license, and to drive without an instructor. Similarly, a student attend
High motion performance, stiffness, and accuracy are crucial for industrial robot applications, but these requirements are in practice contradictory. Using a novel type of robot, the so called Gantry Tau, new combinations of stiffness and accuracy are in principle possible, except for the backlash in the drive-trains of each joint. Existing techniques for backlash reduction are either mechanicall
In this paper we present some experiments on the MySQL database server. The objective of the experiments was to investigate the high load dynamics for varying relation sizes and requests. We show that the dynamics for SELECT (read) requests can be modeled as a modified M/M/1 system, whereas, the dynamics for UPDATE (write) are completely different. Our results can be used for designing control and
Braided convolutional codes (BCCs) are a type of parallel-concatenated convolutional code in which the parity outputs of one component encoder are fed back and used as inputs to the other component encoder at the succeeding time unit. In this paper, we review the published results on BCCs that have appeared in the literature over the past ten years and present a unified view of BCCs in the context
In this paper, we study the block error rate (BLER) performance of spatially coupled low-density parity-check (SC- LDPC) codes using a sliding window decoder suited for streaming applications. Previous studies of SC-LDPC have focused on the bit error rate (BER) performance or the frame error rate (FER) performance over the entire length of the code. Here, we consider protograph-based constructions
This paper presents simulation and measurement results for two 2-stage E-band power amplifiers implemented in 0.18um SiGe technology with fT = 200 GHz. To increase the power gain by mitigating the effect of the base-collector capacitance, the first design uses a differential cascode topology with a 2.7 V supply voltage. The second design instead uses capacitive cross-coupling of a differential com
This work presents a digital calibration technique in continuous-time (CT) ΔΣ analog to digital (A/D) converters. The converter is clocked at 144MHz with a low oversampling ratio (OSR) of only 8. Dynamic element matching (DEM) is not efficient to linearize the digital to analog converter (DAC) when the OSR is very low. Therefore, non-idealities in the outermost multi-bit feedback DAC are measured
Objective: Long-term automatic detection of focal seizures remains one of the major challenges in epilepsy due to the unacceptably high number of false alarms from state-of-the-art methods. Our aim was to investigate to what extent a new patient-specific approach based on similarly occurring morphological electroencephalographic (EEG) signal patterns could be used to distinguish seizures from nons
