Information processing of geometrical features of a surface based on binocular disparity cues: an fMRI study

Naganuma, Tomoka; Nose, Izuru; Inoue, Kentaro; Takemoto, Atsushi; Katsuyama, Narumi; Taira, Masato

doi:10.1016/j.neures.2004.10.009

Cited by 28 publications

(21 citation statements)

References 26 publications

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“…A similar responsiveness to stereopsis defined stimuli has been registered in other studies [153,14]. Always using fMRI, activation in the posterior part of the human IPS has been found during orientation discrimination tasks, using both monocular and binocular stimuli [152,119]. Although a clear correspondence is yet to be achieved, the data collected by [152,153] and other studies clearly indicate that, similarly to its role in macaques, the function of human CIP is that of coding 3D features of target objects for providing AIP with the information necessary for visually-guided hand movements.…”

Section: Human Cipsupporting

confidence: 72%

“…This suggests that disparity gradients are used in CIP to detect also the curvature of objects [97,119,149]. Shape-selective AOS neurons in CIP are thus likely to maintain a prototype of 3D shape representation, that might be based on shape and curvature indexes [40].…”

Section: Surface Orientation Selective and Axis Orientation Selectivementioning

confidence: 99%

“…Area LIP aids in the execution of saccadic eye movements and transformation between retinotopic and head-centered coordinates [75,151]. Neurons in LIP have been found to be modulated by both proprioceptive and retinal stimuli, suggesting that LIP contributes to distance estimation combining vergence and disparity through a gain modulation effect [119,62].…”

Section: Other Dorsal Stream Areasmentioning

confidence: 99%

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The Neuroscience of Vision-Based Grasping: A Functional Review for Computational Modeling and Bio-Inspired Robotics

Chinellato¹,

Pobil²

2009

J. Integr. Neurosci.

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The topic of vision-based grasping is being widely studied using various techniques and with different goals in humans and in other primates. The fundamental related findings are reviewed in this paper, with the aim of providing researchers from different fields, including intelligent robotics and neural computation, a comprehensive but accessible view on the subject. A detailed description of the principal sensorimotor processes and the brain areas involved in them is provided following a functional perspective, in order to make this survey especially useful for computational modeling and bio-inspired robotic applications.

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Section: Human Cipsupporting

confidence: 72%

Section: Surface Orientation Selective and Axis Orientation Selectivementioning

confidence: 99%

Section: Other Dorsal Stream Areasmentioning

confidence: 99%

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The Neuroscience of Vision-Based Grasping: A Functional Review for Computational Modeling and Bio-Inspired Robotics

Chinellato¹,

Pobil²

2009

J. Integr. Neurosci.

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“…This has brought to the front issues such as monitoring 3D video quality and acquiring 3D content that is comfortable to view [2]- [4], [7], [8]. Unlike 2D video, the ocular adjustment to 3D depth can induce neurological symptoms such as visual fatigue and headache, as well as 3D distortions that cause quality degradation [1], [2], [9]. Understanding these problems involves a number of intricate visual factors which can only be probed using a sophisticated subjective testing methodology for measuring the quality of the 3D visual experience [10].…”

Section: Introductionmentioning

confidence: 99%

“…Conflicts between vergence and accommodation that can occur on stereoscopic video appear to rarely affect our experience when watching the real world of natural disparity fields. Understanding how 3D visual comfort is affected by 3D video is a topic of intense study in engineering [4], [5], [11], ophthalmology [7], [12] and neurology [9], [13].…”

Section: Introductionmentioning

confidence: 99%

Multimodal Interactive Continuous Scoring of Subjective 3D Video Quality of Experience

Kim

Kang

Lee

et al. 2014

IEEE Trans. Multimedia

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Abstract-People experience a variety of 3D visual programs, such as 3D cinema, 3D TV and 3D games, making it necessary to deploy reliable methodologies for predicting each viewer's subjective experience. We propose a new methodology that we call multimodal interactive continuous scoring of quality (MICSQ). MICSQ is composed of a device interaction process between the 3D display and a separate device (PC, tablet, etc.) used as an assessment tool, and a human interaction process between the subject(s) and the separate device. The scoring process is multimodal, using aural and tactile cues to help engage and focus the subject(s) on their tasks by enhancing neuroplasticity. Recorded human responses to 3D visualizations obtained via MICSQ correlate highly with measurements of spatial and temporal activity in the 3D video content. We have also found that 3D quality of experience (QoE) assessment results obtained using MICSQ are more reliable over a wide dynamic range of content than obtained by the conventional single stimulus continuous quality evaluation (SSCQE) protocol. Moreover, the wireless device interaction process makes it possible for multiple subjects to assess 3D QoE simultaneously in a large space such as a movie theater, at different viewing angles and distances. We conducted a series of interesting 3D experiments showing the accuracy and versatility of the new system, while yielding new findings on visual comfort in terms of disparity, motion and an interesting relation between the naturalness and depth of field (DOF) of a stereo camera.Index Terms-Multimodal interactive continuous scoring of quality (MICSQ), 3D quality of experience (QoE), subjective assessment, visual comfort evaluation, interactive continuous subjective quality assessment, empirical 3D distortion.

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Seeing biological actions in 3 D : An f MRI study

et al. 2015

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Precise kinematics or body configuration cannot be recovered from visual input without disparity information. Yet, no imaging study has investigated the role of disparity on action observation. Here, we investigated the interaction between disparity and the main cues of biological motion, kinematics and configuration, in two fMRI experiments. Stimuli were presented as point‐light figures, depicting complex action sequences lasting 21 s. We hypothesized that interactions could occur at any of the three levels of the action observation network, comprising occipitotemporal, parietal and premotor cortex, with premotor cortex being the most likely location. The main effects of kinematics and configuration confirmed that the biological motion sequences activated all three levels of the action observation network, validating our approach. The interaction between configuration and disparity activated only premotor cortex, whereas interactions between kinematics and disparity occurred at all levels of the action observation network but were strongest at the premotor level. Control experiments demonstrated that these interactions could not be accounted for by low level motion in depth, task effects, spatial attention, or eye movements, including vergence. These results underscore the role of premotor cortex in action observation, and in imitating others or responding to their actions. Hum Brain Mapp 37:203–219, 2016. © 2015 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.

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Information processing of geometrical features of a surface based on binocular disparity cues: an fMRI study

Cited by 28 publications

References 26 publications

The Neuroscience of Vision-Based Grasping: A Functional Review for Computational Modeling and Bio-Inspired Robotics

The Neuroscience of Vision-Based Grasping: A Functional Review for Computational Modeling and Bio-Inspired Robotics

Multimodal Interactive Continuous Scoring of Subjective 3D Video Quality of Experience

Seeing biological actions in 3 D : An f MRI study

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