The construction of 3D models of real-world scenes using non-contact methods is an important problem in computer vision. Some of the more successful methods belong to a class of techniques called structured light illumination (SLI). While SLI methods are generally very successful, there are cases where their performance is poor. Examples include scenes with a high dynamic range in albedo or scenes with strong interreflections. These scenes are referred to as optically challenging environments. The work in this dissertation is aimed at improving SLI performance in optically challenging environments. A new method of high dynamic range imaging (HDRI) based on pixel-by-pixel Kalman filtering is developed. Using objective metrics, it is show to achieve as much as a 9.4 dB improvement in signal-to-noise ratio and as much as a 29% improvement in radiometric accuracy over a classic method. Quality checks are developed to detect and quantify multipath interference and other quality defects using phase measuring profilometry (PMP). Techniques are established to improve SLI performance in the presence of strong interreflections. Approaches in compressed sensing are applied to SLI, and interreflections in a scene are modeled using SLI. Several different applications of this research are also discussed.

Digital photography became widespread with the global use of smartphones. However, most of the captured images do not fully use the camera capabilities by storing the captured photos in a format with limited dynamic range. The subject of dynamic range expansion and reconstruction has been researched since early 2000s and recently gave rise to several new reconstruction methods using convolutional neural networks (CNNs), whose performance has not yet been comprehensively compared. By implementing and using our dynamic range reconstruction evaluation framework we compare the reconstruction quality of individual CNN-based approaches. We also implement a mobile HDR camera application and evaluate the feasibility of running the best-performing reconstruction method directly on a mobile device.

Un ensemble de disciplines tente de comprendre les causes de la distribution de la biodiversité à la surface de la terre. Cette thèse, à l'interface entre macro-écologie et phylogéographie, démêle le rôle relatif des différents facteurs environnementaux et des processus contrôlant la diversité des crustacés aquatiques souterrains en Europe. L'utilisation d'un modèle biologique souterrain permet d'écarter l'effet de la saisonnalité thermique, omniprésente dans les milieux de surface. L'action de multiples facteurs – plus particulièrement la disponibilité des ressources trophiques et l'hétérogénéité environnementale – et les variations régionales de leur importance relative fournissent l'explication la plus parcimonieuse des patrons de richesse. Ce résultat s'oppose au paradigme du rôle prépondérant du processus d'extinction causé par les fortes oscillations climatiques du Pléistocène en Europe du nord. Toutefois, ces oscillations ont très probablement sélectionné des organismes mobiles qui participent à l'augmentation de la taille moyenne des aires de répartition des espèces avec la latitude. La reconstruction de la dynamique des aires de distribution montre que la dispersion est un processus très hétérogène entre et au sein des espèces. Elle interviendrait lors de courtes fenêtres temporelles entre lesquelles l'adaptation locale tendrait au contraire, à contrecarrer les capacités de dispersion. Enfin, ce travail propose des pistes de réflexion afin d'expliquer plus précisément, à partir de données moléculaires supplémentaires et d'outils génomiques, les variations géographiques des taux de diversification et de substitution à l'échelle continentale / A set of disciplines attempt to understand causes of biodiversity patterns on the earth. This thesis, at the frontier between macroecology and phylogeography, disentangles the relative influence of environmental factors and processes shaping groundwater crustacean diversity in Europe. Groundwater habitats offer useful case studies for avoiding the effect of thermal seasonality, which is pervasive in surface ecosystems. The influence of multiple factors – especially productive energy and spatial heterogeneity – and regional variation in their relative importance provide the most parsimonious explanation of species richness patterns. This result undermines the prominent role attributed to the disproportionate extinction of species in northern European regions with high historical climate oscillations. However, these oscillations have probably selected vagile species which contribute to the increase in median range size of species with latitude. Reconstructing range dynamics shows that dispersal is a heterogeneous process within and among species. It may occur during short time windows between which local adaptation favors specialization. Finally, I suggest several research avenues using molecular data and genomic tools for understanding geographical variation in diversification and substitution rates at continental scale