Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks with Learned Shape Features
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We introduce a novel framework for image-based 3D reconstruction of urban buildings based on symmetry priors. Starting from image-level edges, we generate a sparse and approximate set of consistent 3D lines. These lines are then used to simultaneously dete ...
Currently, the large majority of 3D display solutions rely on binocular perception phenomena. Furthermore, while 3D display technologies are already widely available for cinema and home or corporate use, only a few portable devices currently feature 3D dis ...
While 3D display technologies are already widely available for cinema and home or corporate use, only a few portable devices currently feature 3D display capabilities. Moreover, the large majority of 3D display solutions rely on binocular perception. In th ...
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Demand has emerged for next generation visual technologies that go beyond conventional 2D imaging. Such technologies should capture and communicate all perceptually relevant three-dimensional information about an environment to a distant observer, providin ...
In this thesis, we focus on the problem of recovering 3D shapes of deformable surfaces from a single camera. This problem is known to be ill-posed as for a given 2D input image there exist many 3D shapes that give visually identical projections. We present ...
Today, the use of computer assistance to guide surgeon's gestures becomes increasingly common for interventions on rigid organs such as the hips and vertebrae. Guidance information is provided through the representation of the position of surgical instrume ...
Immense amounts of high resolution data are now routinely produced thanks to recent advances in EM imaging. While a strong demand for automated analysis now exists, it is stifled by the lack of robust automatic 3D segmentation techniques. State-of-the-art ...
To cope with a variety of clinical applications, research in medical image processing has led to a large spectrum of segmentation techniques that extract anatomical structures from volumetric data acquired with 3D imaging modalities. Despite continuing adv ...
Despite more than a century of research, we still lack a concise description of the different types of neurons in the brain. This is a result of their large variance in morphology and the time consuming reconstruction process. In this thesis we design nove ...
We address the problem of determining where a photo was taken by estimating a full 6-DOF-plus-intrincs camera pose with respect to a large geo-registered 3D point cloud, bringing together research on image localization, landmark recognition, and 3D pose es ...