The mid-level vision toolbox for computing structural properties of real-world images
Mid-level vision is the intermediate visual processing stage for generating representations of
shapes and partial geometries of objects. Our mechanistic understanding of these …
shapes and partial geometries of objects. Our mechanistic understanding of these …
Neural dissociation between computational and subjective image complexity.
The complexity of images plays an important role in visual perception, including aesthetic
appreciation. We here propose the information-based model of visual complexity (IVC) …
appreciation. We here propose the information-based model of visual complexity (IVC) …
Shape-Based Measures Improve Scene Categorization
Converging evidence indicates that deep neural network models that are trained on large
datasets are biased toward color and texture information. Humans, on the other hand, can …
datasets are biased toward color and texture information. Humans, on the other hand, can …
Memorability of line drawings of scenes: the role of contour properties
Why are some images more likely to be remembered than others? Previous work focused on
the influence of global, low-level visual features as well as image content on memorability …
the influence of global, low-level visual features as well as image content on memorability …
Local contour features contribute to figure-ground segregation in monkey V4 neural populations and human perception
Figure-ground (FG) segregation is a crucial step towards the recognition of objects in natural
scenes. Gestalt psychologists have emphasized the importance of contour features in …
scenes. Gestalt psychologists have emphasized the importance of contour features in …