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Depth-dependent contrast gain-control Richard N. Aslin *, Peter W. Battaglia, Robert A. Jacobs
 

Summary: Depth-dependent contrast gain-control
Richard N. Aslin *, Peter W. Battaglia, Robert A. Jacobs
Department of Brain and Cognitive Sciences, Center for Visual Science, University of Rochester, 274 Meliora Hall, Rochester, NY 14627-0270, USA
Received 23 June 2003; received in revised form 20 October 2003
Abstract
Contrast adaptation that was limited to a small region of the peripheral retina was induced as observers viewed a multiple depth-
plane textured surface. The small region undergoing contrast adaptation was present only in one depth-plane to determine whether
contrast gain-control is depth-dependent. After adaptation, observers performed a contrast-matching task in both the adapted and a
non-adapted depth-plane to measure the magnitude and spatial specificity of contrast adaptation. Results indicated that contrast
adaptation was depth-dependent under full-cue (disparity, linear perspective, texture gradient) conditions; there was a highly sig-
nificant change in contrast gain in the depth-plane of adaptation and no significant gain change in the unadapted depth-plane. A
second experiment showed that under some monocular viewing conditions a similar change in contrast gain was present in the
adapted depth-plane despite the absence of disparity information for depth. Two control experiments with no-depth displays
showed that contrast adaptation can also be texture- and location-dependent, but the magnitude of these effects was significantly
smaller than the depth-dependent effect. These results demonstrate that mechanisms of contrast adaptation are conditioned by 3-D
and 2-D viewing contexts.
2003 Elsevier Ltd. All rights reserved.
1. Introduction
The human visual system has evolved a variety of
mechanisms that render a unique interpretation from

  

Source: Aslin, Richard N. - Department of Brain and Cognitive Sciences, University of Rochester
Jacobs, Robert A. - Departments of Brain and Cognitive Sciences & Computer Science, University of Rochester

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences