Browsing OSU Theses by Author "Fan, Guoliang"
Now showing items 1-19 of 19
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3D modeling of point clouds
Patten, Thomas (Oklahoma State University, 2009-07-01)We present our research on modeling simple shapes in a point cloud using both Expectation Maximization (EM) and Markov Chain Monte Carlo (MCMC). The shapes to be modeled are Planes, Cylinders and Cones. Although most point ... -
Drowsiness Detection for Driver Assistance
Tadesse, Eyosiyas Fisseha (Oklahoma State University, 2013-12-01)This thesis presents a noninvasive approach to detect drowsiness of drivers using behavioral and vehicle based measuring techniques. The system accepts stream of driver's images from a camera and steering wheel movement ... -
Evaluation of a Zero-shot Cross-modal Image Retrieval Technique Using Ranking Support Vector Machines
Novotny, Evan Michael (2016-05-01)The aim of this thesis is to evaluate the potential of a technique for cross-modallabel based retrieval of images, from previously unseen classes, using a rankingsupport vector machine and investigate attributes of the ... -
Evolving Intelligent Multimodal Gameplay Agents and Decision Makers with Neuroevolution
Finley, Ian Patrick (2015-12-01)�Super Mario Bros� is a difficult platforming game that requires the use of multiple behavioral modes to complete different gameplay elements such as: collecting coins, dodging enemies and getting to the end of the level. ... -
Human Pose Recognition Using Neural Networks, Synthetic Models, And Modern Features
Kruis, Michael (Oklahoma State University, 2010-07-01)Our goal in this research is to compare modern image feature vectors with traditional image feature vectors in the task of human pose recognition. Recently newer image feature vectors such as Histograms of Oriented Gradient ... -
Implementation of an interactive volume visualization system using commodity hardware
Graham, Jason (Oklahoma State University, 2009-07-01)An implementation for a volume data visualization system is provided. User interaction occurs through a markerless planar surface onto which images from a dataset are projected. The surface is moved through an area of 3D ... -
Importance of Defining Roi: a Semi- Automated Algorithm for Predicting Importance Maps
Kadiyala, Vamsi Krishna (Oklahoma State University, 2007-12-01)The importance of defining ROI in gray scale images is clearly established. A new way of proportionating the distortion between ROI and non-ROI is found out. The various factors influencing the ROI have been studied and ... -
Indoor Scene Reconstruction Using the Manhattan Assumption
Guo, Lin (2015-07-01)Robots are being developed to be co-inhabitants to help the elderly people in an assisted environment. A semantic map can provide robots a lot of information in the environment they cohabit with people. So far, most mapping ... -
Multi-insect visual tracking and system identification techniques for inflight feedback interaction analysis
Ahmed, Ishriak (2021-07)Individual insects flying in crowded assemblies perform complex aerial maneuvers by small changes in their wing motions. To understand the individual feedback rules that permit these fast, adaptive behaviors in group flight, ... -
On the Use of Image Sharpness to Jpeg2000 No-reference Image Quality Assessment
Vu, Phong Van (Oklahoma State University, 2013-12-01)Digital images play an important role in social communities today. Many applications and devices have been developed to capture images, compress and store them, and transfer from/to servers to/from end-users over broadband ... -
Performance Analysis of Adaptive Modulation and Mimo Systems Applying Macroscopic Diversity Technologies
Zhang, Yuan (2004-07-01) -
Performance-analysis-based Acceleration of Image Quality Assessment
Phan, Thien D. (Oklahoma State University, 2014-12-01)Algorithms for image/video quality assessment (QA) aim to predict the qualitiesof images in a manner that agrees with subjective quality ratings. Over the lastseveral decades, the major impetus in QA research has focused ... -
Predicting the Perceived Interest Of Objects in Images
Pinneli, Srivani (Oklahoma State University, 2008-07-01)This thesis presents an algorithm designed to compute the perceived interest of objects in images based on results of a psychophysical experiment. We measured likelihood functions via a psychophysical experiment in which ... -
Sematic understanding of large-scale outdoor web images: From emotion recognition to scene classification
Li, Yanyao (2020-12)Facial expression recognition and scene-based image clustering are very popular topics in the fields of human-computer interaction and computer vision. Their relationship has been rarely investigated but is a very attractive ... -
Shape-based Insect Classification: a Hybrid Region-based and Contour-based Approach
Li, Bo (Oklahoma State University, 2014-07-01)The American Burying Beetle (ABB) (Nicrophorus americanus) is a critically endangered insect whose distribution is limited to several states at the periphery of its historical range in the eastern and central United States. ... -
Statistical Service Guarantees for Traffic Scheduling in High-Speed Data Networks
Quan, Zhi (2004-05-01) -
Strategy of Image Quality Assessment a New Fidelity Metric Based Upon Distortion Contrast Decoupling
Larson, Eric (Oklahoma State University, 2008-07-01)This thesis presents a new image fidelity metric, Most Apparent Distortion (MAD), that uses a visual masking model and a measure of appearance distortion strategically to define the fidelity of a distorted image. Subjective ... -
Support Vector Machines for Conservation Reserve Program (CRP) Mapping and Compliance Monitoring
Cherian, Ginto (Oklahoma State University, 2004-12-01)This research focuses on two specific remote sensing problems associated with the United States Department of Agriculture (USDA)'s Conservation Reserve Program (CRP). The CRP program seeks to convert highly erodible lands ... -
Trans-Rectal Optical Tomography Reconstruction Using 3-Dimensional Spatial Prior Extracted From Sparse 2-Dimensional Trans-Rectal Ultrasound Imagery
Palande, Dhanashree (Oklahoma State University, 2013-07-01)Accurate prostate segmentation in trans-rectal ultrasound (TRUS) imagery is an important step in different clinical applications, and it is particularly necessary for providing a 3-dimensional spatial prior to guide the ...