Testing the “Boundaries” of boundary extension: Anticipatory scene representation across development and disorder

Hippocampus ◽  
2017 ◽  
Vol 27 (6) ◽  
pp. 726-739 ◽  
Author(s):  
G. Spanò ◽  
H. Intraub ◽  
J. O. Edgin
2013 ◽  
Vol 66 (11) ◽  
pp. 2161-2186 ◽  
Author(s):  
Kristin Michod Gagnier ◽  
Christopher A. Dickinson ◽  
Helene Intraub

1992 ◽  
Author(s):  
Helene Intraub ◽  
Jennifer L. Bodamer ◽  
Edward Willey

2005 ◽  
Vol 10 (2) ◽  
pp. 43-48
Author(s):  
Gale M. Lucas ◽  
Bennett Rainville ◽  
Priya Bhan ◽  
Jenna Rosenberg ◽  
Kari Proud ◽  
...  
Keyword(s):  

2019 ◽  
Author(s):  
Jiri Lukavsky ◽  
Vojtěch Klinger

In boundary extension (BE), people confidently remember seeing a surrounding region of a scene that was not visible in the studied view. However, the content near image boundaries might be uninteresting, serving only as a background for a central figure.In our experiments, we presented participants with 24 photographs with a defect (cut-out hole or black ink blot). Participants were instructed to memorize the photograph and then either reproduce the size of the hole/blot (BE task) or identify a change (distractor task). In Exp. 1, we showed participants printed photographs (18×13 cm) with cut-out holes. Participants systematically drew smaller holes (87.5% diameter, N=32). When we replaced the holes with black ink blots (Exp. 2), the bias was still present (91.4%, N=30). The computer-based version with size-adjustment of black blots (Exp. 3) yielded similar effects (92.8%, N=30), which disappeared (Exp. 4, 100.7%, N=30) if the probe blot sizes were randomized.We argue that BE occurs in the internal parts of photographs. We explored the effect in different media (paper/screen) and using different response tasks (free recall/adjustment). People show uncertainty in the adjustment tasks and reproduce remembered holes/blots as smaller (consistent with BE) if they are presented with the occluded content in the response phase.


Author(s):  
Marcin Kwietniewski ◽  
Stephanie Wilson ◽  
Anna Topol ◽  
Sunbir Gill ◽  
Jarek Gryz ◽  
...  

Proceedings ◽  
2018 ◽  
Vol 2 (18) ◽  
pp. 1193
Author(s):  
Roi Santos ◽  
Xose Pardo ◽  
Xose Fdez-Vidal

The increasing use of autonomous UAVs inside buildings and around human-made structures demands new accurate and comprehensive representation of their operation environments. Most of the 3D scene abstraction methods use invariant feature point matching, nevertheless some sparse 3D point clouds do not concisely represent the structure of the environment. Likewise, line clouds constructed by short and redundant segments with inaccurate directions limit the understanding of scenes as those that include environments with poor texture, or whose texture resembles a repetitive pattern. The presented approach is based on observation and representation models using the straight line segments, whose resemble the limits of an urban indoor or outdoor environment. The goal of the work is to get a full method based on the matching of lines that provides a complementary approach to state-of-the-art methods when facing 3D scene representation of poor texture environments for future autonomous UAV.


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