Sensory Systems | Theoretical & Computational Neuroscience | Cognitive Neuroscience
Categorization of line drawings of natural scenes using non-accidental properties matches human behavior
Dandan Shen*, Dirk Bernhardt-Walther
*Corresponding author: Dandan Shen
Department of Electrical & Computer Engineering, The Ohio State University, Columbus, OH, USA
F1000Posters 2012, 3: 723 (poster) [English]
Poster [12.08 MB]
Presented at
Vision Sciences Society Annual Meeting 2012,
11 - 16 May 2012, Poster 33.558
This work aimed to answer two questions:
1. What information is used to distinguish categories of line drawings?
2. Do humans use similar information to discriminate scene categories?
The work came to these conclusions:
1. Counts of T, X, Y and arrow junctions as well as the intersection angles of these junctions seem to play an important role in human natural scene categorization.
2. Statistics of orientations as encoded in the spatial frequency spectrum (1) are less important for humans.
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No relevant competing interests disclosed.
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