Publication
Processing load, and not stimulus evidence, determines the duration of unconscious visual feature integration
Related publications (33)
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)2016A computational model for reference-frame synthesis with applications to motion perception
Michael Herzog, Aaron Michael Clarke
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 ...
Elsevier2016Spatial properties of non-retinotopic reference frames in human vision
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 ...
Elsevier2015The effective reference frame in perceptual judgments of motion direction
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 ...
Elsevier2015Field-like interactions between motion-based reference frames
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 ...
Springer2015Direct 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 ...
EUSIPCO2013Bridging the Gap between Detection and Tracking for 3D Human Motion Recovery
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 ...
EPFL2010Motion 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 ...
2010Learning 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 ...
2010Attention and non-retinotopic feature integration
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