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 123 for “"vision systems"”.
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Towards Interpretable Vision Systems
Artificial intelligent (AI) systems today are booming and they are used to solve new tasks or improve the performance on existing ones. However, most AI systems work in a black-box fashion, which prevents the users from accessing the inner modules. This leads to two major problems: (i) users have …
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Modeling of phototransduction in vision systems
… It also provides insights into dynamics of the vision system.
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Towards efficient and scalable computer vision systems
There is a large growth in hardware and software systems capable of producing vast amounts of image and video data. These systems are rich sources of continuous and possibly infinite image and video streams. This motivates researchers to build scalable computer vision systems that utilize …
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Design methodology for embedded computer vision systems
Computer vision has emerged as one of the most popular domains of embedded appli¬cations. Though various new powerful embedded platforms to support such applica¬tions have emerged in recent years, there is a distinct lack of efficient domain-specific synthesis techniques for optimized …
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Information selection and fusion in vision systems
… of data produced by data-intensive imaging systems, such as multi-camera surveillance systems and microscopes, is technically challenging. While image and video compression help to manage the data volumes, they do not address the basic problem of information overflow. In this PhD we tackle …
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Ultra-Low-Power Vision Systems for Wireless Applications
Custom CMOS vision sensors could offer large opportunities for ultra-low power applications, introducing novel visual computation paradigms, aimed at closing the large gap between vision technology and energy-autonomous sensory systems. Energy-aware vision could offer new opportunities to all those …
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An FPGA platform for demonstrating embedded vision systems
… that can be used to enable real-time embedded vision systems, specifically object detection. Interfaces are built between the FPGA and a high definition (1980 x 1080) HDMI camera, an off-chip DRAM, an FMC connector, an SD Card, and an HDMI display. The interface processing includes debayering …
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Parallel architectures and parallel algorithms for integrated vision systems
Computer vision has been regarded as one of the most complex and computationally intensive problems. An integrated vision system (IVS) is a system that uses vision algorithms from all levels of processing to perform for a high level application (e.g, object recognition). This thesis addresses …
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Vision systems in agriculture – Lagrangian particle tracking and field robotics
This dissertation presents a study about two systems that utilize techniques in computer vision -- a Lagrangian particle tracking (LPT) system and a high-throughput phenotyping system. Both systems have important application in in agricultural engineering. Lagrangian particle tracking (LPT) enables …
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Large-scale Trends in Vision Systems: Novel Methods for Identifiability
… of more performant and human-like AI systems. However, despite ANNs having been proposed as models of primate visual systems, the success in predicting both neural and behavioral responses of primates by ANNs has not been without contention. Increasing architectural and dataset sizes …
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3-D Point Cloud Generation from Rigid and Flexible Stereo Vision Systems
… environment the system is in. A stereo vision system utilizes two or more cameras, which capture images of a scene from two or more viewpoints, to create 3-D point clouds. A point cloud is a set of un-gridded 3-D points corresponding to a 2-D image, and is used to build gridded surface …
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Evaluating interactions and decision-making by annotators and users in computer vision systems
… interact with and are influenced by intelligent systems is essential for improving their design and effectiveness. Although computer vision research has largely centered on algorithmic advances, these increasingly complex systems are ultimately used by people whose decisions and interpretations …
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Machine Vision Systems for Real-Time Plant Variability Sensing and in-Field Application
… related to the planter performance, a machine vision-based emerged corn plant sensing system (ECS) was developed for the performance evaluation for prototype planters. With the real-time image sequencing capability, the system also achieved an average spacing measurement error of less than 10 …
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Towards efficient and powerful machine learning vision systems for mobile: unifying interactive segmentation and matting
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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A hybrid neural network and genetic programming approach to the automatic construction of computer vision systems
… a wide range of success in the world of computer vision. Recently, neural networks have been able to achieve excellent results on problems that even just ten years ago would have been considered intractable, especially in the area of image classification. Additionally, genetic programming has been …
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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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Towards the Utilization of Machine Vision Systems as an Integral Component of Industrial Quality Monitoring Systems
Recent research discussed the development of image processing tools as a part of the quality control framework in manufacturing environments. This research could be divided into two image-based fault detection approaches: 1) MVS; and 2) MVS and control charts. Despite the intensive research in both …
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Vision systems for a mobile robot based on line detection using the Hough Transform and artificial neural networks.
… based on visual data. It proposes a number of vision systems based on detection of straight lines in images captured by a robot using the Hough transform and artificial neural networks as core algorithms. The Hough transform is a robust method for detection of basic features (Boyce et al 1987). …
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A human performance evaluation of enhanced vision systems for aircraft approach and landing using computer simulated sensor imagery
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1994.
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