Browsing OSU Dissertations by Author "Fan, Guoliang"
Now showing items 1-20 of 32
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Advanced machine learning approaches for target detection, tracking and recognition
Venkataraman, Vijay (2010-12)This dissertation addresses the key technical components of an Automatic Target Recognition (ATR) system namely: target detection, tracking, learning and recognition. Novel solutions are proposed for each component of the ... -
Advanced retinal imaging: Feature extraction, 2-D registration, and 3-D reconstruction
Chanwimaluang, Thitiporn (2006-12)In this dissertation, we have studied feature extraction and multiple view geometry in the context of retinal imaging. Specifically, this research involves three components, i.e., feature extraction, 2-D registration, and ... -
Algorithm for distributed heterogeneous robot-human teams
Mahi, S. M. Al (2020-05)This dissertation presents a set of three closely related studies conducted by me during my Doctoral studies. The studies focus on two immensely important aspects of Robotics; control of the cooperative multi-robot system ... -
Biomedical signal processing and inference in wearable sensing applications
Gutta, Sandeep (2016-12)With the increase in health care costs, there is a great need to develop a low-cost and efficient health care system with better accessibility. Recent advances in the fields of embedded sensing, mobile computing, and ... -
Deep Autoencoders for Cross-Modal Retrieval
Siddiqua, Ayesha (2019-05-01)Increased accuracy and affordability of depth sensors such as Kinect has created a great depth-data source for 3D processing. Specifically, 3D model retrieval is attracting attention in the field of computer vision and ... -
Development of a new local adaptive thresholding method and classification algorithms for x-ray machine vision inspection of pecans
Mathanker, Sunil Kumar (2010-12)Scope and Method of Study: -
Development of a predictive musculoskeletal hybrid model based on maximum weight lifting task
Zaman, Rahid (2022-05)Manual material handling (MMH), particularly lifting, is one of the main reasons for work-related joint and back injuries. Injuries associated with MMH play a significant role in the economy. Therefore, it is necessary to ... -
Framework for transfer learning: Maximization of quadratic mutual information to create discriminative subspaces
Khan, Mohammad Nazmul Alam (2016-07)In the area of pattern recognition and computer vision, Transfer learning has become an emerging topic in recent years. It is motivated by the mechanism of human vision system that is capable of accumulating previous ... -
Fully automatic 3D object reconstruction from multi-view range scan data
Yim, Jungjae (2017-12)3D surface registration of two or more range scans is an important step in building a complete 3D model of an object. When the overlaps between multi-view scans are insufficient, it is highly compulsory to involve good ... -
Holistic indoor scene understanding by context supported instance segmentation
Guo, Lin (2020-12)Intelligent robots require advanced vision capabilities to perceive and interact with the real physical world. While computer vision has made great strides in recent years, its predominant paradigm still focuses on building ... -
Human detection, tracking and segmentation from low-level to high-level vision
Chen, Cheng (2008-12)The goal of this research is to detect, segment and track a human body as well as estimate its limb configuration from cluttered background. These are fundamental research issues that have attracted intensive attention in ... -
Human Motion Analysis: From Gait Modeling to Shape Representation and Pose Estimation
Ding, Meng (Oklahoma State University, 2015-07-01)This dissertation presents a series of fundamental approaches to the human motion analysis from three perspectives, i.e., manifold learning-based gait motion modeling, articulated shape representation and efficient pose ... -
Hybrid machine learning approaches for scene understanding: From segmentation and recognition to image parsing
Yu, Liangjiang (2017-05)We alleviate the problem of semantic scene understanding by studies on object segmentation/recognition and scene labeling methods respectively. We propose new techniques for joint recognition, segmentation and pose estimation ... -
Influence of scaffold properties on cellular colonization for tissue engineering
Huang, Yan (2005-05)Scope and Method of Study: Scaffolds properties play crucial roles in regulating the cell-matrix interaction. To understand how the scaffolds architecture (i.e. pore structures), the presence of cell-binding domain and ... -
Inter-query learning in content-based image retrieval
Gondra, Iker (2005-07) -
Interpreting natural language processing (NLP) models and lifting their limitations
Marzban, Reza (2021-07)There have been many advances in the artificial intelligence field due to the emergence of deep learning and big data. In almost all sub-fields, artificial neural networks have reached or exceeded human-level performance. ... -
Measurement and analysis of natural video masked dynamic discrete cosine transform noise detectability
Evert, Jeremy Paul (2015-05)Lossy video compression lowers fidelity and can leave visual artifacts. Current video compression algorithms are guided by quality assessment tools designed around subjective data based on aggressive video compression. ... -
Modeling, analysis and design of reliable digital imaging system
Jin, Byoungjae (2007-07)Scope and Method of Study: Charge Coupled Device (CCD) is one of the most popular imaging sensors such as digital camera, digital camcorders, and digital x-ray diagnosis systems to mention a few. As the need for high ... -
Multiobjective particle swarm optimization: Integration of dynamic population and multiple-swarm concepts and constraint handling
Leong, Wen Fung (2008-12)Scope and Method of Study: Over the years, most multiobjective particle swarm optimization (MOPSO) algorithms are developed to effectively and efficiently solve unconstrained multiobjective optimization problems (MOPs). ... -
New approaches and a subjective database for video quality assessment
Vu, Phong Van (2014-07)Video quality assessment plays an important role in multimedia systems that process digital images/videos such as video codec, video streaming server. The use of video quality assessment algorithm helps optimize system ...