Skinning of a musculoskeletal model and a feasibility study to apply pixel loss refinement to optimize joint angles

In biomechanics, human movement studies are carried out to assess the subject’s kinematic and kinetic variables for a healthy gait. Currently, marker-based systems are the standardized method to extract the kinematic variables of subjects. The marker-based systems pose some serious challenges like cost and portability, and the calibration and...

Design and Realization of a Lensless CMOS Image Sensor for Light Source Tracking

Localization of a light source in the space requires capturing its light intensity and angle information. However, conventional CMOS image sensors can only capture light intensity and wavelength. These sensors need to be augmented with an optical extension such as an aperture or a lens in order to capture the angle information. The use of...

Adversarial Examples as a defense against Side-Channel Attacks: A novel approach for countermeasure design

Over the last decades, side-channel attacks (SCAs) have been proven as a substantial weakness of cryptographic devices, while the recent growth of deep learning (DL) dramatically improved the performance of SCA. More and more researches present ways to build lightweight deep neural network (DNN) models that can retrieve the secret encryption key...

User-Guided Vectorisation of Pixel Art through Spring Simulation

This research builds upon a previous method of vectorisation of pixel art by pixel neighbour connecting and boundary energy minimisation. The downside of the previous method is the lack of user input throughout the process and possible divergence between the results and the artist’s vision. The proposed method uses the first part of previous...

Visual Inertial 3D Modeling: Improving the performance of dense 3D point cloud reconstruction algorithms

Dense 3D modeling based on monocular visual data is a powerful process of gaining spatial 3D understanding from 2D observations. The use of visual data to reconstruct such 3D models is still a challenging topic. To obtain the accurate dimensions, additional metadata is required such as a GPS which is not always available. Besides this, dealing...

Oscillator based Analog-to-Digital Converter for Action Potential Readout in Microelectrode Arrays

The functioning of the brain depends on the interplay between a large number of neurons. To understand the information processing in neuronal networks, we need tools to record the electrical activity of cells at high resolution. Microelectrode arrays (MEAs) are predominantly used to measure neuronal activity<br/>at high spatial and temporal...

Single-Pixel Thermopile Sensors for people counting applications

People counting data in offices is used in many applications like HVAC system control and space management to increase comfort, decrease energy consumption and optimise space utilisation. In contrast to past approaches using imaging modalities that tend to be either expensive or intrusive, we consider single-pixel thermopile sensors for people...

Characterisation of multi-pixel superconducting nanowire single photon detectors

Single-photon detection is extremely important for a number of different applications such as quantum cryptography, CMOS testing and even biomedical research. Most of the applications of single-photon detector require high efficiency combined with high time resolution, high count rates and low dark counts. Superconducting nanowire single-photon...

An image-based method for the pairwise registration of mobile laser scanning point clouds

In this thesis, an image-based method is proposed for solving the relative translation errors of 3D point clouds collected by Mobile Laser Scanning (MLS) techniques. The process of matching 3D point clouds is known as registration. Due to environment-depending limitations of the positioning component of MLS systems, when recording a certain...

CryptoPIX: The Blockchain Based Daily Pixel Art Competition

During the project the team aimed to make a decentralized web based game on the blockchain, that is fun to play and is indistinguishable from traditional centralized games. To accomplish this it was chosen to create the game on the EOS blockchain platform. The EOS blockchain platform features great improvements upon older more popular platforms...

The design of a global shutter CMOS image sensor in 110nm technology

The goal of this work described in this thesis is to design a CMOS image sensor chip, implementing pixels with a 4.8?m pitch with a peripheral readout circuitry in a 110nm CMOS process. The architecture of the CMOS image sensor is presented, with a functional illustration for every block. The 8T global shutter pixel noise, circuit and layout are...

Time-of-Flight 3D Imaging based on a SPAD-TDC Pixel Array in Standard 65 nm CMOS Technology

The interest in high performance three-dimensional (3D) imaging has grown in recent years due to immense demand in engineering, science, medicine and entertainment domains. The driving goals of state-of-the-art 3D imagers are high sensitivity to light and fine depth resolution at long range. Furthermore, high level of integration is desirable to...

Pixel ADC Design for Hybrid CMOS Image Sensors

This thesis presents the design of a pixel level analog-to-digital converter (ADC) circuit for hybrid CMOS image sensors. There are several methods to increase the dynamic range of the sensor through the readout algorithm. The multiple sampling method can increase the dynamic range (DR) without a loss of signal-to-noise ratio (SNR). The idea is...

Probabilistische segmentatie en fuzzy classificatie van natuurlijke vegetatie in hyperspectrale beelden

The objective of the research was to test the applicability of an advanced classification method for hyper-spectral images of natural vegetation. The advanced method is an integration of image segmentation and classification, originally developed for multi-spectral images of agricultural areas. Here, this method provides improved classification,...