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Theses/Dissertations

Computer Engineering

University of Kentucky

3D Reconstruction

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Full-Text Articles in Engineering

Per-Pixel Calibration For Rgb-Depth Natural 3d Reconstruction On Gpu, Sen Li Jan 2016

Per-Pixel Calibration For Rgb-Depth Natural 3d Reconstruction On Gpu, Sen Li

Theses and Dissertations--Electrical and Computer Engineering

Ever since the Kinect brought low-cost depth cameras into consumer market, great interest has been invigorated into Red-Green-Blue-Depth (RGBD) sensors. Without calibration, a RGBD camera’s horizontal and vertical field of view (FoV) could help generate 3D reconstruction in camera space naturally on graphics processing unit (GPU), which however is badly deformed by the lens distortions and imperfect depth resolution (depth distortion). The camera’s calibration based on a pinhole-camera model and a high-order distortion removal model requires a lot of calculations in the fragment shader. In order to get rid of both the lens distortion and the depth distortion …


A Robust Rgb-D Slam System For 3d Environment With Planar Surfaces, Po-Chang Su Jan 2013

A Robust Rgb-D Slam System For 3d Environment With Planar Surfaces, Po-Chang Su

Theses and Dissertations--Electrical and Computer Engineering

Simultaneous localization and mapping is the technique to construct a 3D map of unknown environment. With the increasing popularity of RGB-depth (RGB-D) sensors such as the Microsoft Kinect, there have been much research on capturing and reconstructing 3D environments using a movable RGB-D sensor. The key process behind these kinds of simultaneous location and mapping (SLAM) systems is the iterative closest point or ICP algorithm, which is an iterative algorithm that can estimate the rigid movement of the camera based on the captured 3D point clouds. While ICP is a well-studied algorithm, it is problematic when it is used in …


Single View Modeling And View Synthesis, Miao Liao Jan 2011

Single View Modeling And View Synthesis, Miao Liao

University of Kentucky Doctoral Dissertations

This thesis develops new algorithms to produce 3D content from a single camera. Today, amateurs can use hand-held camcorders to capture and display the 3D world in 2D, using mature technologies. However, there is always a strong desire to record and re-explore the 3D world in 3D. To achieve this goal, current approaches usually make use of a camera array, which suffers from tedious setup and calibration processes, as well as lack of portability, limiting its application to lab experiments.

In this thesis, I try to produce the 3D contents using a single camera, making it as simple as shooting …