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Multiple Mechanisms Of Visual Localization


Multiple Mechanisms Of Visual Localization
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Multiple Mechanisms Of Visual Localization


Multiple Mechanisms Of Visual Localization
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Author : John Clinton Palmer
language : en
Publisher:
Release Date : 1984

Multiple Mechanisms Of Visual Localization written by John Clinton Palmer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Visual perception categories.




Multiple Mechanisms Of Visual Localization Evidence From Movement And Memory Phenomena Spatial Vision Position


Multiple Mechanisms Of Visual Localization Evidence From Movement And Memory Phenomena Spatial Vision Position
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Author : JOHN CLINTON PALMER
language : en
Publisher:
Release Date : 1984

Multiple Mechanisms Of Visual Localization Evidence From Movement And Memory Phenomena Spatial Vision Position written by JOHN CLINTON PALMER and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with categories.


equivalent tradeoff of the position variables should be undisturbed by substituting a different delay.



Neural Mechanisms Of Position Perception


Neural Mechanisms Of Position Perception
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Author : Jessica Wright
language : en
Publisher:
Release Date : 2014

Neural Mechanisms Of Position Perception written by Jessica Wright and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Visual perception categories.


Visual perception is a reconstruction of the physical visual aspects of the world and subject to various biases, assumptions and noise. One aspect of visual perception is visuospatial localization. Although visual localization is typically accurate, there are various situations where healthy human subjects mislocalize objects, as well as, neurological disorders that alter visual localization behavior. These situations result in differences between the perceived and actual position of an object. These perceptual errors are useful to explore the limitations of visuospatial object localization and provide information on the underlying neural mechanisms of position perception. In particular, the following studies investigated how the brain integrates visual information across a spatially extended stimulus and ultimately results in a final percept of position. This project utilized behavioral and fMRI studies combined with transcranial direct current stimulation (tDCS) in healthy human subjects. These methods allowed us to quantify behavioral errors in localization and examine changes in the BOLD signal (as an indirect measure of changes in neural activity) in potential neural correlates of position perception. In Aim 1 we show that factors such as retinal eccentricity and attentional cues bias localization behavior via alterations of the contribution of specific object components in the integration process. Aim 2 shows that tDCS over posterior parietal cortex (PPC) yields mislocalizations that are consistent with predictions from the interhemispheric competition theory (ICT) of attention. This supports the causal role of PPC in visual spatial localization. Aim 3 extends the results from Aim 2 to show that the BOLD signal changes in PPC predict localization behavior. In addition to novel insights related to position perception, these experiments provide insight into the effects of tDCS on behavior and the interaction of tDCS with the BOLD signal. This work begins to answer how different factors influence position perception and the role of different cortical regions in position perception. This research also has implications for rehabilitation programs for patients with various visual neurological disorders that alter spatial perception.



Experiments In Visual Localization


Experiments In Visual Localization
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Author : Leonard Matin
language : en
Publisher:
Release Date : 1982

Experiments In Visual Localization written by Leonard Matin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with categories.


For an observer viewing in a normally-illuminated and structured visual field EEPI-driven cancellation mechanisms are not normally involved in the determination of visual localization of objects in the visual field either relative to each other or relative to visual norms such as the perceived eye-level horizontal or perceived median plane. In darkness EEPI-driven cancellation mechanisms play a central role in determining visual localization of objects relative to visual norms. EEPI-driven cancellation mechanisms play a central role in intersensory localization (e.g. matching locations of sound and light) in either darkness or light if visual capture of the sensory information regarding location via the other modality is prevented. In normally-illuminated visual fields EEPI is not suppressed. Nor is the output of the cancellation mechanism. However, what is suppressed in the normally-illuminated field is the involvement of EEPI in visual localization. Thus under some conditions the EEPI-driven cancellation mechanism may remain involved in other aspects of perception such as a comparison of localization of auditory and visual targets although it has no influence on visual localization.



Mechanisms Of Spatial Localization In The Human Visual System


Mechanisms Of Spatial Localization In The Human Visual System
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Author : Özgür Yilmaz
language : en
Publisher:
Release Date : 2007

Mechanisms Of Spatial Localization In The Human Visual System written by Özgür Yilmaz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Space perception categories.




Mechanisms Subserving Visual Stimulus Localization And Vernier Acuity


Mechanisms Subserving Visual Stimulus Localization And Vernier Acuity
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Author : Michael George Fendick
language : en
Publisher:
Release Date : 1984

Mechanisms Subserving Visual Stimulus Localization And Vernier Acuity written by Michael George Fendick and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with categories.




Neural Mechanisms Of Visual Perception Using Address Event Representation


Neural Mechanisms Of Visual Perception Using Address Event Representation
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Author : Luma Issa Abdul-Kreem Al-Helli
language : en
Publisher:
Release Date : 2016

Neural Mechanisms Of Visual Perception Using Address Event Representation written by Luma Issa Abdul-Kreem Al-Helli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.




Localization Of Figure Background Segregation Mechanisms In Primate Visual Cortex


Localization Of Figure Background Segregation Mechanisms In Primate Visual Cortex
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Author : Victor A. F. Lamme
language : en
Publisher:
Release Date : 1992

Localization Of Figure Background Segregation Mechanisms In Primate Visual Cortex written by Victor A. F. Lamme and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Животни categories.




Mental Mechanisms


Mental Mechanisms
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Author : William Bechtel
language : en
Publisher: Psychology Press
Release Date : 2008

Mental Mechanisms written by William Bechtel and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Philosophy categories.


First Published in 2007. Routledge is an imprint of Taylor & Francis, an informa company.



Visual Perception For Humanoid Robots


Visual Perception For Humanoid Robots
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Author : David Israel González Aguirre
language : en
Publisher: Springer
Release Date : 2018-09-01

Visual Perception For Humanoid Robots written by David Israel González Aguirre and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-01 with Technology & Engineering categories.


This book provides an overview of model-based environmental visual perception for humanoid robots. The visual perception of a humanoid robot creates a bidirectional bridge connecting sensor signals with internal representations of environmental objects. The objective of such perception systems is to answer two fundamental questions: What & where is it? To answer these questions using a sensor-to-representation bridge, coordinated processes are conducted to extract and exploit cues matching robot’s mental representations to physical entities. These include sensor & actuator modeling, calibration, filtering, and feature extraction for state estimation. This book discusses the following topics in depth: • Active Sensing: Robust probabilistic methods for optimal, high dynamic range image acquisition are suitable for use with inexpensive cameras. This enables ideal sensing in arbitrary environmental conditions encountered in human-centric spaces. The book quantitatively shows the importance of equipping robots with dependable visual sensing. • Feature Extraction & Recognition: Parameter-free, edge extraction methods based on structural graphs enable the representation of geometric primitives effectively and efficiently. This is done by eccentricity segmentation providing excellent recognition even on noisy & low-resolution images. Stereoscopic vision, Euclidean metric and graph-shape descriptors are shown to be powerful mechanisms for difficult recognition tasks. • Global Self-Localization & Depth Uncertainty Learning: Simultaneous feature matching for global localization and 6D self-pose estimation are addressed by a novel geometric and probabilistic concept using intersection of Gaussian spheres. The path from intuition to the closed-form optimal solution determining the robot location is described, including a supervised learning method for uncertainty depth modeling based on extensive ground-truth training data from a motion capture system. The methods and experiments are presented in self-contained chapters with comparisons and the state of the art. The algorithms were implemented and empirically evaluated on two humanoid robots: ARMAR III-A & B. The excellent robustness, performance and derived results received an award at the IEEE conference on humanoid robots and the contributions have been utilized for numerous visual manipulation tasks with demonstration at distinguished venues such as ICRA, CeBIT, IAS, and Automatica.