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As technologies and interfaces for the instrumental control of musical sound get ever better at tracking aspects of human position and motion in space, a fundamental problem emerges: Unintended or even counter-intentional control may result…

Human-Computer Interaction · Computer Science 2025-02-14 Staas de Jong

In a recent paper on Cortical Dynamics, Francis and Grossberg raise the question how visual forms and motion information are integrated to generate a coherent percept of moving forms? In their investigation of illusory contours (which are,…

Neurons and Cognition · Quantitative Biology 2007-05-23 R. Englman , A. Yahalom

In simple perceptual decisions the brain has to identify a stimulus based on noisy sensory samples from the stimulus. Basic statistical considerations state that the reliability of the stimulus information, i.e., the amount of noise in the…

Neurons and Cognition · Quantitative Biology 2015-09-08 Sebastian Bitzer , Stefan J. Kiebel

Understanding the neural mechanism underlying subjective representation has become a central endeavor in cognitive-neuroscience. In theories of conscious perception, stimulus gaining conscious access is usually considered as a discrete…

Neurons and Cognition · Quantitative Biology 2018-03-28 Moti Salti , Asaf Harel , Sebastien Marti

Robots are used by humans not only as tools but also to interactively assist and cooperate with humans, thereby forming physical human-robot interactions. In these interactions, there is a risk that a feedback loop causes unstable force…

Robotics · Computer Science 2022-07-05 Hisayoshi Muramatsu , Yoshihiro Itaguchi , Seiichiro Katsura

Video stabilization is a longstanding computer vision problem, particularly pixel-level synthesis solutions for video stabilization which synthesize full frames add to the complexity of this task. These techniques aim to stabilize videos by…

Computer Vision and Pattern Recognition · Computer Science 2024-04-10 Muhammad Kashif Ali , Eun Woo Im , Dongjin Kim , Tae Hyun Kim

This paper revisits recognition of natural image pleasantness by employing deep convolutional neural networks and affordable eye trackers. There exist several approaches to recognize image pleasantness: (1) computer vision, and (2)…

Computer Vision and Pattern Recognition · Computer Science 2017-04-10 Hamed R. Tavakoli , Jorma Laaksonen , Esa Rahtu

Humans possess an intricate and powerful visual system in order to perceive and understand the environing world. Human perception can effortlessly detect and correctly group features in visual data and can even interpret random-dot videos…

Computer Vision and Pattern Recognition · Computer Science 2020-01-30 Thomas Dagès , Michael Lindenbaum , Alfred M. Bruckstein

The movement of the eyes has been the subject of intensive research as a way to elucidate inner mechanisms of cognitive processes. A cognitive task that is rather frequent in our daily life is the visual search for hidden objects. Here we…

Neurons and Cognition · Quantitative Biology 2012-12-24 H. F. Credidio , E. N. Teixeira , S. D. S. Reis , A. A. Moreira , J. S. Andrade

{G}{ustav} Fechner's 1860 delineation of psychophysics, the measurement of sensation in relation to its stimulus, is widely considered to be the advent of modern psychological science. In psychophysics, a researcher parametrically varies…

Computer Vision and Pattern Recognition · Computer Science 2022-07-07 Justin Dulay , Sonia Poltoratski , Till S. Hartmann , Samuel E. Anthony , Walter J. Scheirer

Understanding the semantics of visual scenes is a fundamental challenge in Computer Vision. A key aspect of this challenge is that objects sharing similar semantic meanings or functions can exhibit striking visual differences, making…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Rushikesh Zawar , Shaurya Dewan , Andrew F. Luo , Margaret M. Henderson , Michael J. Tarr , Leila Wehbe

Visual repetition is ubiquitous in our world. It appears in human activity (sports, cooking), animal behavior (a bee's waggle dance), natural phenomena (leaves in the wind) and in urban environments (flashing lights). Estimating visual…

Computer Vision and Pattern Recognition · Computer Science 2018-06-20 Tom F. H. Runia , Cees G. M. Snoek , Arnold W. M. Smeulders

The Expanding Hole Illusion is a compelling visual phenomenon in which a static, concentric pattern evokes a strong perception of continuous forward motion. Despite its simplicity, this illusion challenges our understanding of how the brain…

Neurons and Cognition · Quantitative Biology 2025-01-16 Nasim Nematzadeh , David M. W. Powers

Human figures have been animated using a variety of geometric models including stick figures, polygonal models, and NURBS-based models with muscles, flexible skin, or clothing. This paper reports on experimental results indicating that a…

Graphics · Computer Science 2023-02-22 Jessica K. Hodgins , James F. O'Brien , Jack Tumblin

In this paper, we report the first stable results on gender prediction via eye movements. We use a dataset with images of faces as stimuli and with a large number of 370 participants. Stability has two meanings for us: first that we are…

Machine Learning · Computer Science 2022-06-16 Rishabh Vallabh Varsha Haria , Sahar Mahdie Klim Al Zaidawi , Sebastian Maneth

By predicting where humans look in natural scenes, we can understand how they perceive complex natural scenes and prioritize information for further high-level visual processing. Several models have been proposed for this purpose, yet there…

Computer Vision and Pattern Recognition · Computer Science 2015-12-08 Mengyang Feng , Ali Borji , Huchuan Lu

The eye fixation patterns of human observers are a fundamental indicator of the aspects of an image to which humans attend. Thus, manipulating fixation patterns to guide human attention is an exciting challenge in digital image processing.…

Computer Vision and Pattern Recognition · Computer Science 2017-12-19 Leon A. Gatys , Matthias Kümmerer , Thomas S. A. Wallis , Matthias Bethge

Scientific fields that are interested in faces have developed their own sets of concepts and procedures for understanding how a target model system (be it a person or algorithm) perceives a face under varying conditions. In computer vision,…

Computer Vision and Pattern Recognition · Computer Science 2018-07-23 Brandon RichardWebster , So Yon Kwon , Christopher Clarizio , Samuel E. Anthony , Walter J. Scheirer

Neurons in the visual cortex respond best to rod-like stimuli of given orientation. While the preferred orientation varies continuously across most of the cortex, there are prominent pinwheel centers around which all orientations a re…

Statistical Mechanics · Physics 2009-11-10 Ha Youn Lee , Mehdi Yahyanejad , Mehran Kardar

Why do moving objects appear rigid when projected retinal images are deformed nonrigidly? We used rotating rigid objects that can appear rigid or non-rigid to test whether shape features contribute to rigidity perception. When two circular…

Neurons and Cognition · Quantitative Biology 2023-04-12 Akihito Maruya , Qasim Zaidi