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 15 of 15 for “"human visual perception"”.
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Human visual perception of structure.
Thesis: M.S., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1976
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Human visual perception under real-world illumination
How does the visual system achieve stable estimates of surface properties - such as reflectance and 3D shape - across changes in the illumination? Under arbitrary patterns of illumination this problem is ill-posed. However, in the real world, illumination is not arbitrary. Here I argue that the …
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Adapting deep neural networks as models of human visual perception
… (CNN) have been extremely successful for visual perception. In addition to performing well on the trained object recognition task, these CNNs also model brain data throughout the visual hierarchy better than previous models. However, these DNNs are still far from completely explaining …
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Detection of video frame insertion based on constraint of human visual perception
… video frame insertion based on the constraint of human visual perception. The main idea is based on the so-called differential sensitivity. That is, that the variation of brightness of neighboring video frames has some constraint. First, the video sequence is partitioned into short and overlapping …
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High-resolution spatio-temporal quantification of fish predator-prey interactions over ecosystem scales with multispectral underwater sensing and optimality of human visual perception with natural daylight
… ecosystems face simultaneous pressures from human activities, ocean industrialization, potential global warming and changing habitats. Continuous monitoring of marine biodiversity and ecosystem processes is needed to assess the individual fish species survivability in such conditions. The …
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Data driven learning for feature binding and perceptual grouping with the Competitive Layer Model
… grouping principles which can be observed in human visual perception, like the Gestalt laws of proximity, similarity and closture. These principles are implemented by pairwise interactions between elementary data structures in a recurrent neural network architecture, the so called Competitive …
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Learning visual object categories from few training examples
During visual perception of complex objects, humans fixate on salient regions of a particular object, moving their gaze from one region to another in order to gain information about that object. The Bayesian Integrate and Shift (BIAS) model is a recently proposed model for learning visual object …
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Understanding Human Perception Through MooneyFaces
Human vision is remarkably tolerant to image distortions: even when every pixel in an image has been destructively altered, as in classic Mooney displays, humans can still extract information about identity, pose, and more. Most current deep learning computer vision models perform well with …
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Automated image sharpening via supervised learning with human preferences
… through a training set of examples for which human preferences are obtained in psychophysical experiments. The human judgments are also used to learn the function that maps the (sub)space to the best sharpening parameter values. This function thus facilitates adaptive enhancement across an …
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Computational Methods for Natural Walking in Virtual Reality
… robot motion planning, and statistical models of human visual perception. Through a series of user studies and simulations, we show that our algorithms enable users to explore large VEs with fewer collisions, allow us to predict the navigability of a pair of environments without collecting any …
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An optimization-based approach to image fusion using structural similarity
… be utilized for various applications, including human visual perception, object detection, and target recognition. A general framework is introduced for the formulation of image fusion, which incorporates the SSIM, one of the most effective measures of visual proximity that is consistent with the …
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NETWORKING KNOWLEDGE AND EXPERIENCE: An Instrumental System for the Personal Development of Individual Designers
… as well as constructive systems of visual calculating that prioritize human visual perception for ambiguous and unrestricted imagination. Based on the integrated theory, I develop a software prototype that augments designers to acquire and take control of their knowledge and …
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Learning coupled conditional random field for image decomposition : theory and application in object categorization
… of information dissociation and integration in human visual perception. At the lowest level, contour and texture processes are defined and measured. In the mid-level, a novel coupled Conditional Random Field model is proposed to model and decompose the contour and texture processes in natural …
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Noise-Enhanced and Human Visual System-Driven Image Processing: Algorithms and Performance Limits
… based on stochastic resonance (SR) noise and human visual system (HVS) properties, where several novel frameworks and algorithms for object detection in images, image enhancement and image segmentation as well as the method to estimate the performance limit of image segmentation algorithms are …
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Shape Matching, Relevance Feedback, and Indexing with Application to Spine X-Ray Image Retrieval
… features fall short when imitating high-level human visual perception. Relevance Feedback (RF) attempts to bridge the gap between the two by analyzing and employing user feedback. The need for overcoming this gap is more evident in medical image retrieval. Existing RF approaches are analyzed …