Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 13 of 13 for “"3D/2D"”.
-
Detection-based 3D-2D vertebra matching
The student, Hanchao Yu, submitted this Thesis for approval on 2019-10-09 at 15:07.
-
Automatic pre-treatment validation in radiotherapy by computer aided 3D-2D image alignment
… three-dimensional (31)) to two-dimensional (2D) image registration methods. The author has proposed two novel methods to register computerised tomography (CT) based volume image data acquired for treatment planning with orthogonal planar images acquired at treatment simulation, which are able …
-
Feature-based automatic registration of images with 2D and 3D models
… The first image registration problem is a 2D/2D one with a 2D similarity transformation and based on geometric primitives selected from models and extracted from images. Featured-based methods using geometric primitives like point, line segment and circle have been widely studied. This …
-
Rigid registration of MR and biplanar fluoroscopy
… could be established by proven methods for the 3D-3D CT-MR alignment. Furthermore, we propose a method of DRR production called voxel-projection which drastically reduces processing time relative even to optimized ray-casting methods. The computational efficiency of voxel-projection makes it a …
-
Surface Levels
… and abstract at a visible level. This abstract 3D/2D image collection is translated into material expressions using acrylic sheets, acrylic ink, and wood as the main media for construction of individual works. Collectively, they serve to make the invisible visible.</p>
-
Advancing integrability for strings in AdS3/CFT2
… after integrability was first applied to the 3d/2d dualities, it was an unanswered question how to incorporate the so-called \massless modes" of these theories into the integrability machinery. Here we tackle this problem in several contexts. We show that in the classical integrable …
-
Hierarchical Templates and Their Application to Multimodal Porous Materials Fabrication
… were fabricated in this work as representative 3D, 2D, and 0D hierarchical porous structures, respectively. Because the template was predefined as one whole body, the connectivity between the big pores and small pores is guaranteed. The way the templates are packed together on a surface also …
-
Approaching Novel Perovskites Photovoltaic Devices through Machine Learning and Interfacial Engineering
… algorithm is developed and tested based on the 3D/2D perovskite solar cell structure [10] with resulting in an average prediction regression loss below 5% and a best prediction accuracy above 99%. Multiple different machine learning algorithm is also carried out to analyze the prediction results …
-
Numerical Modeling Issues in Finite Element Simulation of Plasticity Induced Crack Closure With an Emphasis on Material Model Effects
… (Lubliner's generalized plasticity)---into a 3D small scale yielding boundary layer approximation of a mode I crack. With the traditional method of growing the crack by one element per load cycle, the results display strong sensitivity to the element size. This work and the PICC literature …
-
Developing Deep-Learning Methods for Diagnosis and Prognosis of Pediatric Progressive Diseases Using Modern Imaging Techniques
… Automated medical image analysis tools based on 3D/2D deep learning algorithms can help improve the quality and consistency of image diagnosis and interpretation for cognitive disorders in infants. We propose to automate neuroimaging analysis with artificial intelligence algorithms. This novel …
-
An empirical assessment of real-time progressive stereo reconstruction
3D reconstruction from images, the problem of reconstructing depth from images, is one of the most well-studied problems within computer vision. In part because it is academically interesting, but also because of the significant growth in the use of 3D models. This growth can be attributed to the …
-
Self-Supervised Learning for Geometry
… we allow robots to learn and infer the 3D structure of the scene and ego-motion by watching videos, instead of expensive ground-truth annotation in traditional supervised learning problems. Followed by showing the use of geometry for deep learning, we show the possibilities of …
-
Generative and Multimodal Learning for Vision and Language
L'abstract è presente nell'allegato / the abstract is in the attachment