Optical see-through display (OSTD) is a transparent digital display which simultaneously gives access to the digital contents and the real world objects behind it. Additive optical see-though display is a hardware subtype of OSTD which has its own light source to create the digital contents. In Additive OSTD, light coming from background objects mixes with the light originating from the display causing what is known as the color blending problem. The work in this thesis provides a solution to the color blending problem. In order to understand the problem, this thesis first presents a new color blending model for additive OSTD based on two display induced distortions: the Render distortion and the Material distortion. A new method called Binned Profile (BP) method which accounts for the render distortion is developed to predict the blended color, when applied on the color blending model. BP method is validated with other known methods and is shown to be the most accurate in predicting the color blends with 9 just noticeable differences (JND) in worst case. Based on the BP method, a new color correction algorithm called BP color correction is created to solve the color blending problem. BP-color correction finds the alternative digital color to counter balance the blending. The correction capacity of various digital colors were analysed using the BP color correction approach. BP color correction is also compared and proven to be better than the existing solution. A quicker version of the correction called quick correction is also explored. The thesis concludes with an exploration of the material distortion, explains the limitations of BP-correction, provides design recommendations .

Optical see-through display (OSTD) is a transparent digital display which simultaneously gives access to the digital contents and the real world objects behind it. Additive optical see-though display is a hardware subtype of OSTD which has its own light source to create the digital contents. In Additive OSTD, light coming from background objects mixes with the light originating from the display causing what is known as the color blending problem. The work in this thesis provides a solution to the color blending problem. In order to understand the problem, this thesis first presents a new color blending model for additive OSTD based on two display induced distortions: the Render distortion and the Material distortion. A new method called Binned Profile (BP) method which accounts for the render distortion is developed to predict the blended color, when applied on the color blending model. BP method is validated with other known methods and is shown to be the most accurate in predicting the color blends with 9 just noticeable differences (JND) in worst case. Based on the BP method, a new color correction algorithm called BP color correction is created to solve the color blending problem. BP-color correction finds the alternative digital color to counter balance the blending. The correction capacity of various digital colors were analysed using the BP color correction approach. BP color correction is also compared and proven to be better than the existing solution. A quicker version of the correction called quick correction is also explored. The thesis concludes with an exploration of the material distortion, explains the limitations of BP-correction, provides design recommendations .

In the dynamic arena of display technology, augmented reality (AR) displays represent a pivotal advancement, seamlessly bridging the digital and physical worlds. This dissertation delves into the realm of AR display technologies, spotlighting the challenges and limitations of current systems, including transparent and near-eye displays, and proposes innovative solutions to enhance user experience and display performance. With a focus on overcoming issues such as diffraction-induced image blur, the trade-off between resolution and field of view (FoV) in near-eye displays, and FoV constraints in waveguide-based displays, this research introduces new evaluation methods, optimization techniques, and system designs. First, the dissertation presents a quantitative evaluation of diffraction effects on background objects, leading to the development of a pixel structure optimization method aimed at reducing diffraction in transparent displays with small aperture ratios. This advancement promises to enhance image clarity and visibility, addressing one of the key challenges in the deployment of AR technology for transparent displays. Next, we introduce a novel Maxwellian-type foveated AR system that leverages a single light engine. This system employs a temporal polarization-multiplexing method to encode both high-resolution foveal and low-resolution peripheral images through the same light engine. With the aid of polarization-selective lenses, this system effectively separates the two views, delivering a wide FoV and high angular resolution in the foveal region, effectively minimizing the resolution-FoV compromise in near-eye displays. Furthermore, the dissertation conducts a detailed analysis of FoV limitations in single-layer waveguides, proposing a strategic combination of a gradient-pitch polarization volume grating (PVG) with a butterfly exit-pupil expansion (EPE) scheme. This approach aims to extend the FoV in single-layer waveguides towards the theoretical full-color limit. This research addresses pivotal challenges in waveguide-based AR technology, marking a significant step towards realizing more immersive and user-friendly AR systems.

The characterization and fabrication of active matrix thin film transistors (TFTs) has been studied for an addressable microfluidic electrowetting channel device as application. A new transparent semiconductor material, Amorphous Indium Gallium Zinc Oxide (a-IGZO), is used for TFT, which shows high electrical performance rather than amorphous silicon based TFT; higher mobility and even higher transparency. The purpose of this dissertation is to optimize each TFT process including the optimization of a-IGZO properties to achieve robust device for application. To minimize hysteresis of TFT curves, the gate dielectric is discussed extensively in this dissertation. By optimizing gas ratio of NH3SiH4, it is found that the TFT with NH3 rich SiNx gate dielectric deposited with NH3/SiH4 =5.1 and stoichiometric SiO2 demonstrates best condition to reduce hysteresis. a-IGZO films is investigated as a function of power and substrate bias effect which affects to electrical performance; the higher power and substrate bias increase the carrier density in the film and mainly cause threshold voltage(VT) to shift in the negative gate voltage direction and mobility to increase, respectively. In addition, the powerful method to estimate the electrical properties of a-IGZO is proposed by calculating O2 and IGZO flux during sputtering in which the incorporation ratio with O2/IGZO ≈1 demonstrates the optimized a-IGZO film for TFT. It is confirmed that both physical and chemical adsorption affects the electrical property of a-IGZO channel by studying TFT-IV characteristics with different pressure and analyzing X-ray photoelectron spectroscopy (XPS), which mainly affects the VT instability. The sputtered SiO2 passivation shows better electrical performance. To achieve electrically compatible (lower back channel current) a-IGZO film to SiO2 sputter passivated device, a-IGZO TFTs require oxygen rich a-IGZO back channel by employing two step a-IGZO deposition process (2nd 10nm a-IGZO with PO2 = 1.5mTorr on 1st 40nm a-IGZO with PO2=1mTor). Electrowetting microfluidic channel device as application using a-IGZO TFTs is studied by doing preliminary test. The electrowetting channel test using polymer post device platform is candidate for addressable electrowetting microfluidic channel device driven by active matrix type a-IGZO TFT.

La réalité augmentée consiste en l'insertion d'éléments virtuels dans une scène réelle, observée à travers un écran. Les systèmes de réalité augmentée peuvent prendre des formes différentes pour obtenir l'équilibre désiré entre trois critères : précision, latence et robustesse. On identifie trois composants principaux : localisation, reconstruction et affichage. Nous nous concentrons sur l'affichage et la reconstruction. Pour certaines applications, l'utilisateur ne peut être isolé de la réalité. Nous proposons un système sous forme de "tablette augmentée" avec un écran semi transparent, au prix d'un étalonnage adapté. Pour assurer l'alignement entre augmentations et réalité, il faut connaître les poses relatives de l'utilisateur et de la scène observée par rapport à l'écran. Deux dispositifs de localisation sont nécessaires et l'étalonnage consiste à calculer la pose de ces dispositifs par rapport à l'écran. Le protocole d'étalonnage est le suivant : l'utilisateur renseigne les projections apparentes dans l'écran de points de référence d'un objet 3D connu ; les poses recherchées minimisent la distance 2D entre ces projections et celles calculées par le système. Ce problème est non convexe et difficile à optimiser. Pour obtenir une estimation initiale, nous développons une méthode directe par l'étalonnage intrinsèque et extrinsèque de caméras virtuelles. Ces dernières sont définies par leurs centres optiques, confondus avec les positions de l'utilisateur, ainsi que leur plan focal, constitué par l'écran. Les projections saisies par l'utilisateur constituent alors les observations 2D des points de référence dans ces caméras virtuelles. Un raisonnement symétrique permet de considérer des caméras virtuelles centrées sur les points de référence de l'objet, "observant" les positions de l'utilisateur. Ces estimations initiales sont ensuite raffinées par ajustement de faisceaux. La reconstruction 3D est basée sur la triangulation de correspondances entre images. Ces correspondances peuvent être éparses lorsqu'elles sont établies par détection, description et association de primitives géométriques ou denses lorsqu'elles sont établies par minimisation d'une fonction de coût sur toute l'image. Un champ dense de correspondance est préférable car il permet une reconstruction de surface, utile notamment pour une gestion réaliste des occultations en réalité augmentée. Les méthodes d'estimation d'un tel champ sont basées sur une optimisation variationnelle, précise mais sensible aux minimums locaux et limitée à des images peu différentes. A l'opposé, l'emploi de descripteurs discriminants peut rendre les correspondances éparses très robustes. Nous proposons de combiner les avantages des deux approches par l'intégration d'un coût basé sur des correspondances éparses de primitives à une méthode d'estimation variationnelle dense. Cela permet d'empêcher l'optimisation de tomber dans un minimum local sans dégrader la précision. Notre terme basé correspondances éparses est adapté aux primitives à coordonnées non entières, et peut exploiter des correspondances de points ou de segments tout en filtrant implicitement les correspondances erronées. Nous proposons aussi une détection et gestion complète des occultations pour pouvoir mettre en correspondance des images éloignées. Nous avons adapté et généralisé une méthode locale de détection des auto-occultations. Notre méthode produit des résultats compétitifs avec l'état de l'art, tout en étant plus simple et plus rapide, pour les applications de flot optique 2D et de stéréo à large parallaxe. Nos contributions permettent d'appliquer les méthodes variationnelles à de nouvelles applications sans dégrader leur performance. Le faible couplage des modules permet une grande flexibilité et généricité. Cela nous permet de transposer notre méthode pour le recalage de surfaces déformables avec des résultats surpassant l'état de l'art, ouvrant de nouvelles perspectives. / Augmented reality is the process of inserting virtual elements into a real scene, observed through a screen. Augmented Reality systems can take different forms to get the desired balance between three criteria: accuracy, latency and robustness. Three main components can be identified: localization, reconstruction and display. The contributions of this thesis are focused on display and reconstruction. Most augmented reality systems use non-transparent screens as they are widely available. However, for critical applications such as surgery or driving assistance, the user cannot be ever isolated from reality. We answer this problem by proposing a new “augmented tablet” system with a semi-transparent screen. Such a system needs a suitable calibration scheme:to correctly align the displayed augmentations and reality, one need to know at every moment the poses of the user and the observed scene with regard to the screen. Two tracking devices (user and scene) are thus necessary, and the system calibration aims to compute the pose of those devices with regard to the screen. The calibration process set up in this thesis is as follows: the user indicates the apparent projections in the screen of reference points from a known 3D object ; then the poses to estimate should minimize the 2D on-screen distance between those projections and the ones computed by the system. This is a non-convex problem difficult to solve without a sane initialization. We develop a direct estimation method by computing the extrinsic parameters of virtual cameras. Those are defined by their optical centers which coincide with user positions, and their common focal plane consisting of the screen plane. The user-entered projections are then the 2D observations of the reference points in those virtual cameras. A symmetrical thinking allows one to define virtual cameras centered on the reference points, and “looking at” the user positions. Those initial estimations can then be refined with a bundle adjustment. Meanwhile, 3D reconstruction is based on the triangulation of matches between images. Those matches can be sparse when computed by detection and description of image features or dense when computed through the minimization of a cost function of the whole image. A dense correspondence field is better because it makes it possible to reconstruct a 3D surface, useful especially for realistic handling of occlusions for augmented reality. However, such a field is usually estimated thanks to variational methods, minimizing a convex cost function using local information. Those methods are accurate but subject to local minima, thus limited to small deformations. In contrast, sparse matches can be made very robust by using adequately discriminative descriptors. We propose to combine the advantages of those two approaches by adding a feature-based term into a dense variational method. It helps prevent the optimization from falling into local minima without degrading the end accuracy. Our feature-based term is suited to feature with non-integer coordinates and can handle point or line segment matches while implicitly filtering false matches. We also introduce comprehensive handling of occlusions so as to support large deformations. In particular, we have adapted and generalized a local method for detecting selfocclusions. Results on 2D optical flow and wide-baseline stereo disparity estimation are competitive with the state of the art, with a simpler and most of the time faster method. This proves that our contributions enables new applications of variational methods without degrading their accuracy. Moreover, the weak coupling between the components allows great flexibility and genericness. This is the reason we were able to also transpose the proposed method to the problem of non-rigid surface registration and outperforms the state of the art methods.

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