Design of a Miniature Camera System for Interior Vision Automotive Application

The purpose of this thesis is to describe the design process, goals, and analysis of the interior vision camera for a driver monitoring system. The design includes minimizing the overall footprint of the system by utilizing smaller more precise optics, as well as higher quantum efficiency (QE) image sensor technologies and packaging. As a result of this research, prototype cameras are constructed, and performance was analyzed. The analysis shows that Modulation Transfer Function (MTF) performance is stable at extreme hot and cold temperatures, while the cost is mitigated by using all plastic lens elements. New high QE image sensors are a potential improvement to this design. The mechanical part of the design has resulted in the filing of three different patents. The first patent was the athermalization spacer itself for automotive applications. The second patent was the way the lens barrel interacts with the athermalization piece. The third patent was the way the imager assembly accommodates the same Bill Of Material (BOM) components and different customer requirement angles

The speed of visual processing of complex objects in the human brain. Sensitivity to image properties, the influence of aging, optical factors and individual differences.

Visual processing of complex objects is a feat that the brain accomplishes with remarkable speed – generally in the order of a few hundred milliseconds. Our knowledge with regards to what visual information the brain uses to categorise objects, and how early the first object-sensitive responses occur in the brain, remains fragmented. It seems that neuronal processing speed slows down with age due to a variety of physiological changes occurring in the aging brain, including myelin degeneration, a decrease in the selectivity of neuronal responses and a reduced efficiency of cortical networks. There are also considerable individual differences in age-related alterations of processing speed, the origins of which remain unclear. Neural processing speed in humans can be studied using electroencephalogram (EEG), which records the activity of neurons contained in Event-Related-Potentials (ERPs) with millisecond precision. Research presented in this thesis had several goals. First, it aimed to measure the sensitivity of object-related ERPs to visual information contained in the Fourier phase and amplitude spectra of images. The second goal was to measure age-related changes in ERP visual processing speed and to find out if their individual variability is due to individual differences in optical factors, such as senile miosis (reduction in pupil size with age), which affects retinal illuminance. The final aim was to quantify the onsets of ERP sensitivity to objects (in particular faces) in the human brain. To answer these questions, parametric experimental designs, novel approaches to EEG data pre-processing and analyses on a single-subject and group basis, robust statistics and large samples of subjects were employed. The results show that object-related ERPs are highly sensitive to phase spectrum and minimally to amplitude spectrum. Furthermore, when age-related changes in the whole shape of ERP waveform between 0-500 ms were considered, a 1 ms/year delay in visual processing speed has been revealed. This delay could not be explained by individual variability in pupil size or retinal illuminance. In addition, a new benchmark for the onset of ERP sensitivity to faces has been found at ~90 ms post-stimulus in a sample of 120 subjects age 18-81. The onsets did not change with age and aging started to affect object-related ERP activity ~125-130 ms after stimulus presentation. Taken together, this thesis presents novel findings with regards to the speed of visual processing in the human brain and outlines a range of robust methods for application in ERP vision research

Beyond the Boundaries: Exploring Diversity within Contemporary Feminist Thought

At a time of heightened awareness and public interest, post-9/11, with increased concerns surrounding the ‘other’ and pronouncements of the ‘death of multiculturalism,’ this thesis stresses the renewed relevance of cross-cultural feminist discussions. I examine a broad range of sources to show how the rhetoric of feminism is being co-opted to support the promotion of an ‘us’ and ‘them’ perspective, particularly in the media. By returning to well established feminist debates on difference, and the importance of adopting an intersectional position in order to avoid suggesting a singular experience of oppression based solely on gender, I argue for an intergenerational approach to current issues affecting feminism as we move into the fourth wave. Providing an original contribution, both by applying existing theory to highly contemporary debates, and by exploring the possibilities (and pitfalls) offered by online media to fourth wave feminism, I claim that the co-opting of a feminist position in an attempt to shore up national identity and discredit multiculturalism, has, in fact, created a resurgence of interest in feminism, but without a foundational understanding. Taking the opportunity provided by this resurgence of interest to critically examine Western feminism through current debates surrounding FGC, ‘honour’-based violence and veiling, offers a lens through which to explore assumptions of the ‘post-feminist’ West, and emphasize the renewed importance of engaging with the ‘other’ in feminist discussions. Globalization and multiculturalism, as well as the global communities forged on the internet, increasingly offer ‘insider voices’ whilst simultaneously questioning the myth of a pure ‘other,’ or a universal feminism. By looking back on previous debates and ‘waves,’ this thesis advocates the need to think across the boundaries of generations, as well as cultures, suggesting that an intergenerational and cross-cultural approach is key to moving discussions forward with the arrival of feminism’s fourth wave

Image Enhancement via Deep Spatial and Temporal Networks

Image enhancement is a classic problem in computer vision and has been studied for decades. It includes various subtasks such as super-resolution, image deblurring, rain removal and denoise. Among these tasks, image deblurring and rain removal have become increasingly active, as they play an important role in many areas such as autonomous driving, video surveillance and mobile applications. In addition, there exists connection between them. For example, blur and rain often degrade images simultaneously, and the performance of their removal rely on the spatial and temporal learning. To help generate sharp images and videos, in this thesis, we propose efficient algorithms based on deep neural networks for solving the problems of image deblurring and rain removal. In the first part of this thesis, we study the problem of image deblurring. Four deep learning based image deblurring methods are proposed. First, for single image deblurring, a new framework is presented which firstly learns how to transfer sharp images to realistic blurry images via a learning-to-blur Generative Adversarial Network (GAN) module, and then trains a learning-to-deblur GAN module to learn how to generate sharp images from blurry versions. In contrast to prior work which solely focuses on learning to deblur, the proposed method learns to realistically synthesize blurring effects using unpaired sharp and blurry images. Second, for video deblurring, spatio-temporal learning and adversarial training methods are used to recover sharp and realistic video frames from input blurry versions. 3D convolutional kernels on the basis of deep residual neural networks are employed to capture better spatio-temporal features, and train the proposed network with both the content loss and adversarial loss to drive the model to generate realistic frames. Third, the problem of extracting sharp image sequences from a single motion-blurred image is tackled. A detail-aware network is presented, which is a cascaded generator to handle the problems of ambiguity, subtle motion and loss of details. Finally, this thesis proposes a level-attention deblurring network, and constructs a new large-scale dataset including images with blur caused by various factors. We use this dataset to evaluate current deep deblurring methods and our proposed method. In the second part of this thesis, we study the problem of image deraining. Three deep learning based image deraining methods are proposed. First, for single image deraining, the problem of joint removal of raindrops and rain streaks is tackled. In contrast to most of prior works which solely focus on the raindrops or rain streaks removal, a dual attention-in-attention model is presented, which removes raindrops and rain streaks simultaneously. Second, for video deraining, a novel end-to-end framework is proposed to obtain the spatial representation, and temporal correlations based on ResNet-based and LSTM-based architectures, respectively. The proposed method can generate multiple deraining frames at a time, which outperforms the state-of-the-art methods in terms of quality and speed. Finally, for stereo image deraining, a deep stereo semantic-aware deraining network is proposed for the first time in computer vision. Different from the previous methods which only learn from pixel-level loss function or monocular information, the proposed network advances image deraining by leveraging semantic information and visual deviation between two views

Actor & Avatar: A Scientific and Artistic Catalog

What kind of relationship do we have with artificial beings (avatars, puppets, robots, etc.)? What does it mean to mirror ourselves in them, to perform them or to play trial identity games with them? Actor & Avatar addresses these questions from artistic and scholarly angles. Contributions on the making of "technical others" and philosophical reflections on artificial alterity are flanked by neuroscientific studies on different ways of perceiving living persons and artificial counterparts. The contributors have achieved a successful artistic-scientific collaboration with extensive visual material

Beyond the Boundaries: Exploring Diversity within Contemporary Feminist Thought

At a time of heightened awareness and public interest, post-9/11, with increased concerns surrounding the ‘other’ and pronouncements of the ‘death of multiculturalism,’ this thesis stresses the renewed relevance of cross-cultural feminist discussions. I examine a broad range of sources to show how the rhetoric of feminism is being co-opted to support the promotion of an ‘us’ and ‘them’ perspective, particularly in the media. By returning to well established feminist debates on difference, and the importance of adopting an intersectional position in order to avoid suggesting a singular experience of oppression based solely on gender, I argue for an intergenerational approach to current issues affecting feminism as we move into the fourth wave. Providing an original contribution, both by applying existing theory to highly contemporary debates, and by exploring the possibilities (and pitfalls) offered by online media to fourth wave feminism, I claim that the co-opting of a feminist position in an attempt to shore up national identity and discredit multiculturalism, has, in fact, created a resurgence of interest in feminism, but without a foundational understanding.\ud Taking the opportunity provided by this resurgence of interest to critically examine Western feminism through current debates surrounding FGC, ‘honour’-based violence and veiling, offers a lens through which to explore assumptions of the ‘post-feminist’ West, and emphasize the renewed importance of engaging with the ‘other’ in feminist discussions. Globalization and multiculturalism, as well as the global communities forged on the internet, increasingly offer ‘insider voices’ whilst simultaneously questioning the myth of a pure ‘other,’ or a universal feminism. By looking back on previous debates and ‘waves,’ this thesis advocates the need to think across the boundaries of generations, as well as cultures, suggesting that an intergenerational and cross-cultural approach is key to moving discussions forward with the arrival of feminism’s fourth wave

Proceedings experiencing light 2009 : international conference on the effects of light on welbeing

no abstrac

Proceedings experiencing light 2009 : international conference on the effects of light on welbeing

no abstrac