Johan Wagemans

Identification of Everyday Objects on the Basis of Silhouette and Outline Versions

Line drawings of everyday objects were modified into silhouettes by filling-in the complete area enclosed by boundary contours, and outline versions were created by extracting the contours from the silhouettes. A large number of participants was asked to try to identify these silhouette and outline versions in experiment 1. Identifiability ranged from 0% to 100% correct responses with a large range in-between. Several kinds of errors and several reasons for difficulties with identification emerged in our data set. In experiment 2, we compared the original identification rates to those of inverted silhouettes (white figures on a black background), and in experiment 3 we compared the original identification rates of objects with filled-in holes or background parts to those of versions without filling-in. These stimuli and identification norms are useful for additional research on priming and context effects of object identification, neuropsychological deficits of object identification, and all kinds of studies with silhouettes where the role of top down knowledge could be of interest.

A generic model architecture for perceptual grouping

Does not work on real images Largely due to undersampling 1. Multiscale edge detection 2. Initial location sampling: 1% maximally responding locations (3 iterations) 3. Similarity (grouping strength) computation (rules: proximity, good continuation, orientation and contrast similarity; 3 iterations) 4. Final location sampling: 1000 maximally responding locations 5. Clustering into objects using max threshold