Walther, Dirk B. and Itti, Laurent and Riesenhuber, Maximilian and Poggio, Tomaso and Koch, Christof (2002) Attentional Selection for Object Recognition — A Gentle Way. In: Biologically Motivated Computer Vision : Second International Workshop, BMCV 2002 Tübingen, Germany, November 22–24, 2002 Proceedings. Lecture Notes in Computer Science. No.2525. Springer , Berlin, pp. 472-479. ISBN 9783540001744 http://resolver.caltech.edu/CaltechAUTHORS:20130816-103235815
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Attentional selection of an object for recognition is often modeled using all-or-nothing switching of neuronal connection pathway from the attended region of the retinal input to the recognition units. However, there is little physiological evidence for such all-or-none modulation in early areas. We present a combined model for spatial attention and object recognition in which the recognition system monitors the entire visual field, but attentional modulation by as little as 20% at a high level is sufficient to recognize multiple objects. To determine the size and shape of the region to be modulated, a rough segmentation is performed, based on pre-attentive features already computed to guide attention. Testing with synthetic and natural stimuli demonstrates that our new approach to attentional selection for recognition yields encouraging results in addition to being biologically plausible.
|Item Type:||Book Section|
|Additional Information:||This work was supported by NSF (ITR, ERC and KDI), NEI, NIMA, DARPA, the Zumberge Faculty Research and Innovation Fund (L.I.), the Charles Lee Powell Foundation,a McDonnell-Pew Award in Cognitive Neuroscience (M.R.), Eastman Kodak Company, Honda R&D Co., Ltd., ITRI, Komatsu Ltd., Siemens Corporate Research, Inc., Toyota Motor Corporation and The Whitaker Foundation.|
|Group:||Koch Laboratory, KLAB|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||KLAB Import|
|Deposited On:||11 Jan 2008 23:38|
|Last Modified:||24 Oct 2013 16:45|
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