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 24 for “"visual feature"”.
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Visual feature learning with application to medical image classification
Various hand-crafted features have been explored for medical image classification, which include SIFT and Local Binary Patterns (LBP). However, hand-crafted features may not be optimally discriminative for classifying images from particular domains (e.g. colonoscopy), as not necessarily tuned to …
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Spatial mechanisms in the recovery of visual feature conjunctions
… behavioural evidence suggests that in both early visual processing and memory many of the component features of an object are independently represented in the visual system. The unity of visual experience appears to be dependent upon the recovery of feature conjunctions. The mechanism(s) …
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WAVELENGTH AND VISUAL FEATURE SELECTION FOR NON-DESTRUCTIVE EVALUATION OF FUSARIUM HEAD BLIGHT IN WHEAT USING HYPERSPECTRAL IMAGING
… models trained on spatial–spectral features. The scanner captured hyperspectral scans of over 1,500 healthy and Fusarium-damaged kernels, from which statistical features were extracted at each wavelength. Classification models were trained to assess the contribution of individual …
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Action Intention Modulates the Temporal Dynamics of Object Feature Representation: An Electrophysiological Approach
… has been shown to influence the computation of visual features in a task-relevant manner. Ideomotor theories would suggest that the intention to act on an object is sufficient to integrate its task-relevant visual features, however, support for these theories draw from paradigms that arbitrarily …
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Learning Deep Visual Features from Limited Labeled Data
… in order to obtain better performance in visual feature learning for computer vision applications. To reduce the extensive cost of collecting and annotating large-scale labeled datasets, various machine learning methods are proposed to learn general visual features including …
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Locomotion Traces Data Mining for Supporting Frail People with Cognitive Impairment
… and activity execution, we introduced novel visual feature extraction methods for locomotion data. Our solutions rely on locomotion traces segmentation, image-based extraction of salient features from locomotion segments, and vision-based DL. Furthermore, we proposed a data augmentation …
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Deep learning of visual features with limited supervision.
… dissertation explores methods for learning deep visual features with limited human supervision, expanding deep learning’s applicability to diverse real-world tasks. We propose solutions in three key areas. First, we introduce a selective pretraining approach that enhances transfer learning by …
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CurveSLAM: utilizing higher level structure in stereo vision-based navigation
Existing approaches to visual Simultaneous Localization and Mapping (SLAM) typically utilize points as visual feature primitives to represent landmarks in the environment. Since these techniques mostly use image points from a standard feature point detector, they do not explicitly map objects or …
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Investigating priming, inhibition, and individual differences in visual attention
… is modulated, and how different types of visual search paradigms can elucidate the underlying mechanisms involved in successful visual search. Throughout this dissertation, I will focus on the multifaceted aspects that come with the study of visual attention. After discussing visual …
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Segmentation Based Tracking for Aerial Robot Global Localization in Unstructured Environments with Oblique Monocular Camera Orientation
… angles, traditional methods fail to match visual features and thus fail to localize. The technical gap that this thesis addresses is when autonomous vehicles within a team are mapping the same environment from different viewpoints, specifically nadir and an oblique camera orientations in an …
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Towards situation-aware driving style adaptation
… and statistical approaches. By employing visual feature encoders pretrained on fleet data, the proposed method captures a structured representation of the driving environment and learns a mapping from situational context to driving behavior, enabling adaptation to individual driving style …
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Collision Avoidance and Navigation of UAS Using Vision-Based Proportional Navigation
… during flight occurred due to a lack of visual feature points to contribute to the avoidance law calculation.</p>
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Learning deformable shape models for object tracking
… models of objects. In many cases, the strongest visual feature of an object is its shape. Also, many objects of interest are non-rigid, or have a non-rigid appearance with respect to a particular viewpoint. For these reasons, there is much interest in the construction of, and tracking with, …
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The Representation Of Numerosity In The Human Brain And Machines
… numerosity is inherently linked with other visual characteristics of sets (such as larger sets often occupy more space or are more densely spaced), making it challenging to determine the extent to which the observed response to numerosity is distinct from the response to other visual …
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Probabilistic visual relational data extraction
Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-12-09T14:11:23Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Bui_Ngoc.pdf: 1994663 bytes, checksum: a969f6579139dd6ec1f1bdd59f45e8a2 (MD5)
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Role of Mouse Visual Cortex in Perception of Stimulus Features
<p>Information about diverse visual features is encoded in distributed visual cortical areas. Which area/areas are required for perception for a given visual feature and how the encoded visual information is computed to guide visual perception are the main questions of this dissertation. Here I …
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Vision-Based automatic translation for South African Sign Language (SASL)
… comprehensive experiments using various visual feature extraction architectures as well as translation architectures. We found that recurrent translation models outperform transformer models. We also investigated the impact of pretraining our feature extractor on a Continuous Sign …
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Vision-Based automatic translation for South African Sign Language (SASL)
… comprehensive experiments using various visual feature extraction architectures as well as translation architectures. We found that recurrent translation models outperform transformer models. We also investigated the impact of pretraining our feature extractor on a Continuous Sign …
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Naturally Generated Decision Trees for Image Classification
… a technique able to automatically create a visual feature based knowledge hierarchy for class relations, applicable broadly to any data set or combination thereof. We maintain these goals in an effort to move away from specific systems and instead toward artificial general intelligence …
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Evaluating UAV Visual-Inertial Odometry Trajectory Error and Feature-Level Metrics over Repetitive Floor Patterns
<p>Visual-Inertial Odometry (VIO) is a widely used state estimation technique for Uncrewed Aerial Vehicle (UAV) navigation in environments where Global Navigation Satellite System (GNSS) signals are unavailable. VIO systems that rely on visual feature tracking are susceptible to performance …
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