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Single view reconstruction and camera calibration using 2D room scene image
(University of Missouri--Columbia, 2013)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Single view reconstruction is a fundamental problem in computer vision. One aim is to automatically reconstruct 3D model from a single view 2D room ...
Exact physics-based modeling and animation of highly flexible 1D mechanical systems
(University of Missouri--Columbia, 2013)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] In this thesis, we present a geometrically exact beam theory and a corresponding displacement-based finite-element model for modeling, analysis and ...
Tongue image difference detection
(University of Missouri--Columbia, 2014)
Preconditioned conjugate gradient solver for structural problems
(University of Missouri--Columbia, 2013)
Matrix solvers play a crucial role in solving real world physics problem. In engineering practice, transition analysis is most often used, which requires a series of similar matrices to be solved. However, any specific ...
Automatic 3D face reconstruction and tracking using consumer RGB-D camera
(University of Missouri--Columbia, 2015)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] 3D face reconstruction and tracking has become an important research topic during the past few decades in both computer graphics and computer vision. ...
Tongue image change detection
(University of Missouri--Columbia, 2015)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] According to the theory of traditional Chinese medicine (TCM), the tongue has connections to different parts of the human body. The status of the ...
Three dimensional deformable image registration and registration verification
(University of Missouri--Columbia, 2015)
Deformable image registration (DIR) is a fundamental problem in medical image processing. Due to the lack of ground truth, such problem known as registration verification without 'golden standard' standard is still an ...
Machine learning methods for 3D object classification and segmentation
(University of Missouri--Columbia, 2018)
Object understanding is a fundamental problem in computer vision and it has been extensively researched in recent years thanks to the availability of powerful GPUs and labelled data, especially in the context of images. ...
Multi-modality fusion : registering photographs, videos, and LIDAR range scans
(University of Missouri--Columbia, 2016)
2D images and 3D LIDAR range scans provide very different but complementing information about a single subject and, when registered, can be used for a variety of exciting applications. Video sets can be fused with a 3D ...
Indoor scene 3D modeling with single image
(University of Missouri--Columbia, 2015)
3D modeling is a fundamental and very important research area in computer vision and computer graphics. One specific category of this research field is indoor scene 3D modeling. Many efforts have been devoted to its ...
Volumetric medical image segmentation with deep learning pipelines
(University of Missouri--Columbia, 2020)
Automated semantic segmentation in the domain of medical imaging can enable a faster, more reliable, and more affordable clinical workflow. Fully convolutional networks (FCNs) have been heavily used in this area due to the ...
Deep learning methods for 360 monocular depth estimation and point cloud semantic segmentation
(University of Missouri--Columbia, 2022)
Monocular depth estimation and point cloud segmentation are essential tasks for 3D scene understanding in computer vision. Depth estimation for omnidirectional images is challenging due to the spherical distortion issue ...
Extracting extremal features from 3D volume data
(University of Missouri--Columbia, 2014)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Extremal features are implicit curve, surface and points features defined on 3D data with a scalar field and a tensor field. The extremal curves, ...
Computer-aided tongue image diagnosis and analysis
(University of Missouri--Columbia, 2012)
This work focuses on computer-aided tongue image analysis, specifically, as it relates to Traditional Chinese Medicine (TCM). Computerized tongue diagnosis aid medical practitioners capture quantitative features to improve ...
Image matching and image super-resolution via deep learning
(University of Missouri--Columbia, 2018)
The advancement of 3D depth sensors, such as LIDAR (Light Detection And Ranging) scanners, has provided an effective alternative to traditional CAD-based and image-based approaches for 3D modeling. The output of the 3D ...
Data-driven 3D shape modeling
(University of Missouri--Columbia, 2010)
3D shape modeling is essential for computer to understand our real world. So far, 3D shaping modeling is still an open issue. There are too much raw data around, but there is no uniform or standard way to translate them ...
Confocal microscopy imaging analysis of plant morphodynamics
(University of Missouri--Columbia, 2010)
Pollen tubes are delivery mechanisms in a plant's reproductive cycle. Morphodynamic analysis of these microscopic structures provide biologists with insight into the inner workings of these structures. This thesis presents ...
Shape reconstruction from volumetric images
(University of Missouri--Columbia, 2008)
This thesis presents the research algorithms and techniques applied to three volumetric image problems(1) high quality mesh reconstruction from distance field volumetric data, (2) distance field surface approximation from ...