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 16 of 16 for “"visual object recognition"”.
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Network Dynamics of Visual Object Recognition
<p>Visual object recognition is the principal mechanism by which humans and many animals interpret their surroundings. Despite the complexity of neural computation required, object recognition is achieved with such rapidity and accuracy that it appears to us almost effortless. Extensive human and …
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Geometric aspects of visual object recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 1992.
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Graphical models for visual object recognition and tracking
… statistical methods which allow effective visual detection, categorization, and tracking of objects in complex scenes. Such computer vision systems must be robust to wide variations in object appearance, the often small size of training databases, and ambiguities induced by articulated or …
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The effects of shadow presence on visual object-recognition
Shadows provide valuable cues for many aspects of visual perception. This thesis discusses the definitions of cast and attached shadows, and the different types of shadow borders that exist. Eight experiments investigated whether the presence of shadows affects the speed or accuracy of human object …
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Designing a resource-allocating codebook for patch-based visual object recognition
The state-of-the-art approach in visual object recognition is the use of local information extracted at several points or image patches from an image. Local information at specific points can deal with object shape variability and partial occlusions. The underlying idea is that, in different …
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The role of saliencey and error propagation in visual object recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1995.
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Evaluative Mind: Extraneous Influences on Morality, Aesthetics, and Perception
… conclude with some exploratory work on valenced visual object recognition. This relates to the work on moral cognition by showing that emotions can influence perceptual judgment and also extends the general theme of this research by showing another domain where the response to a stimulus may go …
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A Model Of Visual Recognition Implemented Using Neural Networks
The ability to recognise and classify objects in the environment is an important property of biological vision. It is highly desirable that artificial vision systems also have this ability. This thesis documents research into the use of artificial neural networks to implement a prototype model of …
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Deep learning and structured data
… applications in many different domains such as visual object recognition, detection and segmentation, automatic speech recognition, natural language processing, and reinforcement learning. In this thesis, we will investigate deep learning from a spectrum of different perspectives. First of all, …
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An fMRI study of object recognition and cerebral laterality
The ventral visual cortex houses a hierarchical system for object processing and exhibits category-specific processing, especially for fine-grained discrimination of words and faces. The degree to which different regions in ventral visual cortex, within and between the two cerebral hemispheres, are …
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The role of the magnocellular system in implicit cognition
… in information processing, such as reading or visual object recognition. The question this research addressed concerns visual perceptual processes which are not easily controllable and which occur without conscious effort. The role of the M system was investigated in word recognition, object …
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Unsupervised learning of invariant object representation in primate visual cortex
Visual object recognition (categorization and identification) is one of the most fundamental cognitive functions for our survival. Our visual system has the remarkable ability to convey to us visual object and category information in a manner that is largely tolerant ("invariant") to the exact …
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Vision task driven image super-resolution and image enhancement
In visual object recognition problems, low-light exposure, and low-quality images present great challenges in a variety of navigation and surveillance use cases. Recent advancements in deep learning-based methods may contribute towards the enhancement of low-light images to high-quality images with …
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Learning to Generate and Refine Object Proposals
Visual object recognition is a fundamental and challenging problem in computer vision. To build a practical recognition system, one is first confronted with high computation complexity due to an enormous search space from an image, which is caused by large variations in object appearance, pose and …
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Learning to Generate and Refine Object Proposals
Visual object recognition is a fundamental and challenging problem in computer vision. To build a practical recognition system, one is first confronted with high computation complexity due to an enormous search space from an image, which is caused by large variations in object appearance, pose and …
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Mapping the time-course and content of visual predictions with a novel object-scene associative memory paradigm
… and nature of contextual facilitation effects in visual object processing. In all three experiments, participants studied novel object-scene pairs in a paired associate memory paradigm. At test, we presented the scene first, followed after a delay by the test object, which either matched or …