contour integration;
closure;
curvature;
orientation;
circularity;
number of contour elements;
LATERAL OCCIPITAL COMPLEX;
HUMAN VISUAL-CORTEX;
PERIPHERAL-VISION;
GLOBAL SHAPES;
LONG-RANGE;
FEATURES;
SALIENCY;
SEARCH;
FIELD;
FMRI;
D O I:
10.1016/j.visres.2006.11.014
中图分类号:
Q189 [神经科学];
学科分类号:
071006 ;
摘要:
Closed contours are often better perceived than those not fully enclosing an area, i.e., open contours. This facilitation of contour integration by closure, however, has been questioned arguing that in earlier studies closed contours were often "smoother" than open ones, because open contours usually had turning points. To solve this controversy, we compared detection performance for closed circles or ellipses of a higher curvature with open contours of a lower curvature neither having any turning points. Performance for circles and ellipses declined with increasing gap size and recovered only for contours with very low curvatures. Furthermore, performance increased with increasing number of contour elements and was better for smooth compared to S-shaped contours that change direction of curvature. Our results clearly demonstrate that closure improves contour detection, even though this advantage might be minor. The advantage of closed contours is maximal compared to open contours of similar curvature. (c) 2006 Elsevier Ltd. All rights reserved.
机构:
Tohoku Univ, Elect Commun Res Inst, Aoba Ku, Sendai, Miyagi 9808577, JapanTohoku Univ, Elect Commun Res Inst, Aoba Ku, Sendai, Miyagi 9808577, Japan
Sakamoto, Kazuhiro
Nakajima, Hidekazu
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机构:
Tohoku Univ, Elect Commun Res Inst, Aoba Ku, Sendai, Miyagi 9808577, JapanTohoku Univ, Elect Commun Res Inst, Aoba Ku, Sendai, Miyagi 9808577, Japan
Nakajima, Hidekazu
Suzuki, Takeshi
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机构:
Tohoku Univ, Elect Commun Res Inst, Aoba Ku, Sendai, Miyagi 9808577, JapanTohoku Univ, Elect Commun Res Inst, Aoba Ku, Sendai, Miyagi 9808577, Japan
Suzuki, Takeshi
Yano, Masafumi
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h-index: 0
机构:
Tohoku Univ, Elect Commun Res Inst, Aoba Ku, Sendai, Miyagi 9808577, JapanTohoku Univ, Elect Commun Res Inst, Aoba Ku, Sendai, Miyagi 9808577, Japan
Yano, Masafumi
ADVANCES IN NEURO-INFORMATION PROCESSING, PT I,
2009,
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