Texture contrast attracts overt visual attention in natural scenes

被引:81
作者
Parkhurst, DJ [1 ]
Niebur, E [1 ]
机构
[1] Johns Hopkins Univ, Zanvyl Krieger Mind Brain Inst, Baltimore, MD 21218 USA
关键词
eye movements; image statistics; computational model; salience; second-order;
D O I
10.1111/j.0953-816X.2003.03183.x
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
In natural vision, the central nervous system actively selects information for detailed processing through mechanisms of visual attention. It is widely held that simple stimulus features such as color, orientation and intensity contribute to the determination of visual salience and thus can act to guide the selection process in a bottom-up fashion. Contrary to this view, Einhauser, W. & Konig, P [(2003) Eur. J. Neurosci., 17, 1089-1097] conclude from their study of human eye movements that luminance contrast does not contribute to the calculation of stimulus salience and that top-down, rather than bottom-up, factors therefore determine attentional allocation in natural scenes. In this article, we dispute their conclusion and argue that the Einhauser and Konig study has a number of methodological problems, the most prominent of which is the unintentional introduction of changes in texture contrast. We hypothesize that texture contrast, like luminance contrast, can contribute to the guidance of attention in a bottom-up fashion, and that an appeal to top-down factors is not necessary. To test this hypothesis, we implement a purely bottom-up model of visual selective attention where salience is derived from both luminance and texture contrast. We find that the model can quantitatively account for Einhauser and Konig's results and that texture contrast strongly influences attentional guidance in this particular paradigm. The significance of this result for attentional guidance in other paradigms is discussed.
引用
收藏
页码:783 / 789
页数:7
相关论文
共 54 条
[1]   Idiosyncratic characteristics of saccadic eye movements when viewing different visual environments [J].
Andrews, TJ ;
Coppola, DM .
VISION RESEARCH, 1999, 39 (17) :2947-2953
[2]   Inefficient visual search for second-order motion [J].
Ashida, H ;
Seiffert, AE ;
Osaka, N .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2001, 18 (09) :2255-2266
[3]   OVERRIDING STIMULUS-DRIVEN ATTENTIONAL CAPTURE [J].
BACON, WF ;
EGETH, HE .
PERCEPTION & PSYCHOPHYSICS, 1994, 55 (05) :485-496
[4]   THE LAPLACIAN PYRAMID AS A COMPACT IMAGE CODE [J].
BURT, PJ ;
ADELSON, EH .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1983, 31 (04) :532-540
[5]   SUMMATION AND DIVISION BY NEURONS IN PRIMATE VISUAL-CORTEX [J].
CARANDINI, M ;
HEEGER, DJ .
SCIENCE, 1994, 264 (5163) :1333-1336
[6]  
Carandini M, 1997, J NEUROSCI, V17, P8621
[7]  
CAVANAGH P, 1989, Spatial Vision, V4, P103, DOI 10.1163/156856889X00077
[8]   DRIFT-BALANCED RANDOM STIMULI - A GENERAL BASIS FOR STUDYING NON-FOURIER MOTION PERCEPTION [J].
CHUBB, C ;
SPERLING, G .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1988, 5 (11) :1986-2007
[9]   Contextual cueing of visual attention [J].
Chun, MM .
TRENDS IN COGNITIVE SCIENCES, 2000, 4 (05) :170-178
[10]   Neural Mechanisms of Selective Visual Attention [J].
Moore, Tirin ;
Zirnsak, Marc .
ANNUAL REVIEW OF PSYCHOLOGY, VOL 68, 2017, 68 :47-72