Talks: Human Computer Vision Series

How do animals process the tremendous amount of information coming from their senses in time to take appropriate actions with their muscles? This type of robust sensorimotor processing is still

Video game design has experienced a renaissance over the past decade.Parallel to the multi-million dollar games industry independent gamedevelopers have been a constant and growing source of innovation:instead of taking

Few experiences make us as acutely aware of the limitations of our visual system as searching for our keys on a cluttered desk. We?re interested in characterizing the factors that

We found that complex movements with apparent behavioral meaning can be evoked by electrically stimulating the motor cortex of monkeys. These movements unfold during a stimulation train that is applied

While supervised learning methods for classification and structuredprediction are very effective in many domains they require detailedand precise labeling of large amounts of data. Weakly or ambiguouslylabeled data present

Human color vision is mediated by three classes of cones each characterized by its own spectral sensitivity. It is this biological fact that underlies behavioral trichromacy so that essentially any

2009 Cognitive Festival Presentations 11:30 to 2:30 Room 101 Psychology Building Chia-Chien Wu: Latency/accuracy trade-offs during sequences of saccades Peter Pantelis: The interpretation of intentionality from

Edinah Gnang Spectral theory and framework for higher order matrices with applications to vision IGERT & Department of Computer Science Many problems in computer vision quite naturally reduced to

Dr. Sunnia Chai Rutgers University Binocular rivalry between a sharp image and a low-pass filtered version of itself: Low-pass dominance increases with eccentricity New corrective techniques ("monovision") for presbyopia

Conventional video-based 3D reconstruction is performed either by assuming that the scene remains static or by reconstructing the scene at each time frame from multiple video inputs. When the scene

For your thoughts to be useful they must be enacted. This is true even for very mundane thoughts corresponding to getting up from your desk walking out of your office

We perceive many objects and their qualities. Many objects and qualities that we do not perceive are involved in enabling us to perceive the objects that we do. The sun

The Wing-Kristofferson (1973) model has provided a widely accepted and remarkably long-lived account of isochronous time production (such as regular finger tapping). Each action by an effector is generated by

A majority of deaf 18-year-olds in the United States have an English reading level below that of a typical 10-year-old student and so machine translation (MT) software that could translate

In this talk we explore a theory of concept acquisition that aims to appease tensions in the debate between Concept Empiricism and Concept Nativism. The debate focuses on lexical concepts

I will present a new theory of sensitivity in a visual system constrained by Gabor's uncertainty principle of measurement. According to the principle the precision of estimating signal location and

A fundamental question in psychology and neuroscience is how skills are acquired and what happens in the brain when a new motor memory is formed. To understand the neural basis

We serendipitously found an unusual effect of contrast adaptation in human pattern vision. As the observer adapts to different levels of contrast the visibility of some contrast-defined (

Curve-skeletons are thinned 1D representations of 3D objects useful for many visualization tasks including animation virtual navigation reduced-model formulation visualization improvement medical imaging and perceptual tasks. There are many

Manifold learning provides a principled way of extracting low-dimensional nonlinear structure from high-dimensional data. Even though most of the manifold learning techniques need large amount of data to faithfully capture

Perception and motor control are often regarded as two separate branches of neuroscience. Like most species however humans are not passively exposed to the incoming flow of sensory data but

Symmetry is an important cue for many applications in computer graphics geometric modeling and computer vision. Yet it is only recent that symmetry has received much attention in computer graphics.

In this talk we present a method for grouping relevant object contours in edge maps by taking advantage of contour-skeleton duality. Regularizing contours and skeletons simultaneously allows us to combine

Shape is the geometric attribute of an object that is invariant to location rotation and scale effects. In order to test if visual perception of shape is invariant

Recently there has been great interest among vision researchers in devising computational models that predict the distribution ofsaccadic endpoints in naturalistic scenes. In these studies subjects are instructed to

Tekkotsu is an application development framework for mobile robots thatincludes extensive facilities for visual perception. One of Tekkotsu'skey ideas is the use of s "dual-coding" strategy inspired by AlanPaivio's

Classical machine learning techniques provide effective methods for analyzing data when the parameters of the underlying process lie in a Euclidean space. However various parameter spaces commonly occurring in computer

Symmetry is an essential mathematical concept as well as a ubiquitous observable phenomenon in nature science and art. Symmetry implies a potential structural efficiency gain that makes it universally appealing

Human skin texture has complex geometry and local optical properties due to multiple layers and spatially varying structures such as pores wrinkles hairs and other variations. Surface detail� is a

When we draw sketch or sculpt a three-dimensional object what aspects of its geometric structure do we usually choose to depict and how are these depictions executed? More importantly what

� We use a developmental strategy to study the neural mechanisms underlying perception. Infants see poorly. Given normal visual experience vision develops to adult levels over months or years after

Many low-level and mid-level vision tasks involve the estimation of parameters in the presence of noise and outliers. The use of parametric models at this stage may lead to incorrect

This talk addresses the problem of learning efficiently to make sequential decisions with a particular focus on generalizing experience without forfeiting formal learning-time guarantees. I'll summarize the theoretically motivated algorithms

Classical methods for measuring image motion by computer have concentrated on the cases of optical flow in which the motion field is continuous or layered motion in which the motion

Natural visual scenes are cluttered and contain many different objects that cannot all be processed simultaneously. Therefore attentional mechanisms are needed to select relevant and to filter out irrelevant information.

Research on the neural substrates of attention has traditionally concentrated on the way in which attention affects sensory representations in particular visual representations in extrastriate cortex. Much less is known

The Rutgers HAVEN (Haptic Auditory and Visual Environment) is a facility designed from the ground up to support multisensory interactive applications. The facility is a primarily single-user environment intended to

Andrei GoreaLaboratoire de Psychologie de la PerceptionCNRS & Paris Descartes UniversityBiom�dicale des Saints P�res45 rue des Saints P�res 75006 Paris France Starting with Goodale & Milner's (1992) neuropsychological observations a

Recently Kitagawa and Ichihara [2002] demonstrated that visual adaptation to an expanding or contracting disk produces a cross-modal visually induced auditory loudness aftereffect (VALAE) which they attributed to cross correlations

Shape categorization by both human and machine requires the ability to discern qualitatively critical information from a shape for internal representation and future comparative tasks where both the part structure

I will introduce our ongoing work on a computational approach for a part-bases shape representation that is being conducted in the VILLAGE lab. We apply the causality theory about shape

When a flat gray surface is rotated in space relative to the light source it gets brighter and darker but continues to appear approximately the same shade of gray an

As inherently social animals humans must accurately perceive andinterpret the movements of other people. What processes underlie thisperceptual ability? Psychophysical evidence indicates that the visualanalysis of human motion can occur

Modeling of human skin texture is an important and a challenging task. The appearance of fine-scale structures on the skin surface depends greatly on imaging parameters. Our approach is to

Objects and events in the environment typically produce correlated input to several sensory modalities at once. It is important to understand the conditions under which the different sensory streams are

Human body is an articulated object with high degrees of freedom.Despite the high dimensionality of the configuration space many human motion activities lie intrinsically on low dimensional manifolds. Although the

A common approach to the problem of shape completion is based on the calculus of variations: The optimal interpolating shape is taken to be one that minimizes a given smoothness

Many perceptual scientists work under the assumption that the perceptual system is relatively independent from the motor system. I will present four lines of empirical research challenging this assumption: First

Listeners� ability to detect a fixed-frequency tone added to randomly drawn multitone maskers is poor even when the maskers have little energy in the frequency region of the signal. One