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.
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Showing 1 to 20 of 59 for “"Computer vision algorithms"”.
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Computer Vision Algorithms for Mobile Camera Applications
… camera, it has become more feasible to develop algorithms for activity monitoring, guidance and navigation of unmanned vehicles, autonomous driving and driver assistance, by using data from one or more of these sensors. In this thesis, we focus on multiple mobile camera applications, and present …
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Computer Vision Algorithms for Yield Mapping in Specialty Farms
… challenging because it involves solving multiple computer vision (fruit detection, counting, recovering underlying 3D geometry for tracking fruit across different frames in continuously changing illumination) as well as planning problems (path planning for covering all fruit, picking fruit). The …
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An Analysis of Rigid Image Alignment Computer Vision Algorithms
Computer vision is a field of computer science that includes methods for acquiring, processing, and analyzing images. Image registration is one of the methods used in the computer vision field to transform different sets of data into one coordinate system to align images. Registration is important …
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Development of Resource-Constrained Computer Vision Algorithms: From Conventional Machine Learning to Deep Learning
… machine learning to deep learning approaches in computer vision applications. The work focuses on developing resource-constrained computer vision algorithms for automotive safety and consumer electronics applications between 2010 and 2020.<br/><br/>The first project develops novel feature …
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Field imaging framework for morphological characterization of aggregates with computer vision: Algorithms and applications
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-05-11 without embargo terms
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A Collection of Computer Vision Algorithms Capable of Detecting Linear Infrastructure for the Purpose of UAV Control
… the UAV to follow, one could take advantage of computer vision and machine learning techniques to detect and travel along them. With regards to roads and railroads, two separate algorithms were developed to detect the angle and distance offset of the UAV from these linear infrastructure …
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CloudCV: Deep Learning and Computer Vision on the Cloud
… respectively. Unfortunately, scaling existing computer vision algorithms to large datasets leaves researchers repeatedly solving the same algorithmic and infrastructural problems. Designing and implementing efficient and provably correct computer vision algorithms is extremely challenging. …
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Integrating bottom-up and top-down information
… framework for integrating bottom-up and top-down computer vision algorithms. I developed this framework, which I call the Map-Dictionary Pixel framework, because my intuition is that there is a need for tools that make it easier to build computer vision systems that mimic the way human visual …
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Behind the Scenes: Evaluating Computer Vision Embedding Techniques for Discovering Similar Photo Backgrounds
… time-consuming, and unsuccessful. AI-based computer vision algorithms could be used to automatically identify painted backdrops or photographers or cluster photos with similar backdrops in order to aid researchers. However, it is unknown which computer vision algorithms are feasible for …
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Towards autonomous lunar navigation for in-situ resource utilization
… explored much about integrating robotic systems, computer vision algorithms, and localization methods.
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Integrated vision framework for a robotics research and development platform
This thesis presents the design of a vision framework integrated into a robotics research and development platform. The vision system was implemented as part of the software platform developed by the Personal Robots Group at the MIT Media Lab. Featuring representations for images and camera …
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User Perceptions of Privacy and Comfort in Domestic Service Robots
… translucent camera cover that blurs the robot’s vision while preserving a limited degree of functionality for computer vision algorithms. Our findings indicate that participants perceived greater privacy protection when the robot is equipped with a translucent cover compared to a transparent one. …
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Deep CNN and MLP-based vision systems for algae detection in automatic inspection of underwater pipelines
… abstractions in data sets. This work describes a vision inspection system based on deep learning and computer vision algorithms for detection of algae in underwater pipelines. The proposed algorithm comprises a CNN or a MLP network, followed by a post-processing stage operating in spatial and …
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ENERGY-EFFICIENT LIGHTWEIGHT ALGORITHMS FOR EMBEDDED SMART CAMERAS: DESIGN, IMPLEMENTATION AND PERFORMANCE ANALYSIS
… resources becomes even more pronounced. Hence, computer vision algorithms running on these camera boards should be light-weight and efficient. This thesis is about designing and developing computer vision algorithms, which are aware and successfully overcome the limitations of embedded platforms …
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Computer vision-based structural assessment exploiting large volumes of images
… from visual information. Recent advances in computer vision to explore new sensors, sensing platforms and high-performance computing have shed light on the potential for vision-based visual assessment in civil engineering structures. The use of low-cost, high-resolution visual sensors in …
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Hardware Acceleration of a Neighborhood Dependent Component Feature Learning (NDCFL) Super-Resolution Algorithm
Image processing and computer vision algorithms allow computers to make sense of pictures and video seen through cameras. These have applications in a large variety of “real time” applications like surveillance, intelligence gathering, robotics, automobile driving, aviation, etc., where the picture …
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Generative Models for Computer Vision
In order to build robust computer vision algorithms, scene models are necessary that are capable of capturing various aspects of the data at the same time. These models should be fairly simple, but capable of adapting to the data. Flexible models, as defined in the machine learning community, are …
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Exploring real-time video interactivity with Scratch
… a technical crowd, likely with a background in computer science. But what if such video technology were made accessible to a much more diverse crowd? This thesis presents a set of computer vision tools for exploration of the real-time video interactivity space in the context of Scratch …
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Novel feature construction technique for detecting anomalous faces and evaluating style transfer methods
… still necessary like hand-crafted features for computer vision tasks. We demonstrate this in two different domain problems – Anomaly Detection and Style Transfer. We present feature aggregation techniques and also quantitative evaluation procedure for these tasks. For anomaly detection, we …
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