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Processing load, and not stimulus evidence, determines the duration of unconscious visual feature integration

Publications associées (33)

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Motion-based nearest vector metric for reference frame selection in the perception of motion

Michael Herzog, Aaron Michael Clarke

We investigated how the visual system selects a reference frame for the perception of motion. Two concentric arcs underwent circular motion around the center of the display, where observers fixated. The outer (target) arc's angular velocity profile was mod ...

Association for Research in Vision and Ophthalmology (ARVO)2016

As discovered by the Gestaltists, in particular by Duncker, we often perceive motion to be within a non-retinotopic reference frame. For example, the motion of a reflector on a bicycle appears to be circular, whereas, it traces out a cycloidal path with re ...

Elsevier2016

Spatial properties of non-retinotopic reference frames in human vision

Michael Herzog

Many visual attributes of a target stimulus are computed according to dynamic, non-retinotopic reference frames. For example, the motion trajectory of a reflector on a bicycle wheel is perceived as orbital, even though it is in fact cycloidal in retinal, a ...

Elsevier2015

The effective reference frame in perceptual judgments of motion direction

Michael Herzog

The retinotopic projection of stimulus motion depends both on the motion of the stimulus and the movements of the observer. In this study, we aimed to quantify the contributions of endogenous (retinotopic) and exogenous (spatiotopic and motion-based) refer ...

Elsevier2015

Field-like interactions between motion-based reference frames

Michael Herzog

A reference frame is required to specify how motion is perceived. For example, the motion of part of an object is usually perceived relative to the motion of the object itself. Johansson (Psychological Research, 38, 379-393, 1976) proposed that the percept ...

Springer2015

Direct Detection of Small Motion from Computed Tomography Images

Jean-Philippe Thiran, Shima Sepehri

In this paper we present a new methodology to extract the small error-prone motion recorded during a Computed Tomography (CT) imaging directly from the sinogram. In comparison to the use of the usual reconstructed images, this approach has the advantage to ...

EUSIPCO2013

Bridging the Gap between Detection and Tracking for 3D Human Motion Recovery

Andrea Fossati

The aim of this thesis is to build a system able to automatically and robustly track human motion in 3–D starting from monocular input. To this end two approaches are introduced, which tackle two different types of motion: The first is useful to analyze ac ...

EPFL2010

Motion Estimation from Compressed Linear Measurements

Pascal Frossard, Vijayaraghavan Thirumalai

This paper presents a novel algorithm for computing the relative motion between images from compressed linear measurements. We propose a geometry based correlation model that describes the relative motion between images by translational motion of visual f ...

2010

Learning Motion Dynamics to Catch a Moving Object

Aude Billard, Elena Gribovskaya, Seungsu Kim

In this paper, we consider a novel approach to control the timing of motions when these are encoded with autonomous dynamical systems (DS). Accurate timing of motion is crucial if a robot must synchronize its movement with that of a fast moving object. In ...

2010

Attention and non-retinotopic feature integration

Michael Herzog, Thomas Otto

Features of moving objects are non-retinotopically integrated along their motion trajectories as demonstrated by a variety of recent studies. The mechanisms of non-retinotopic feature integration are largely unknown. Here, we investigated the role of atten ...

Association for Research in Vision and Ophthalmology2010