Learning the Gestalt Rule of Collinearity from Object Motion | Citedby Results | Neural Computation | MIT Press

Skip to Main Content

Skip Nav Destination

Learning the Gestalt Rule of Collinearity from Object Motion

Neural Computation (2003) 15 (8): 1865–1896.

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

Extension and the Ground in Motion’s Gestalt: Literal and metaphoric

Stefano Mastandrea
John M. Kennedy

Gestalt Theory (2024) 46 (1): 1.

AI, visual imagery, and a case study on the challenges posed by human intelligence tests

Maithilee Kunda

Proceedings of the National Academy of Sciences (2020) 117 (47): 29390.

Unsupervised construction of human body models

Thomas Walther
Rolf P. Würtz

Cognitive Systems Research (2018) 47: 68.

The development of contour processing: evidence from physiology and psychophysics

Gemma Taylor
Daniel Hipp
Alecia Moser
Kelly Dickerson
Peter Gerhardstein

Frontiers in Psychology (2014) 5

Facial experience during the first year

Jennifer L. Rennels
Rachel E. Davis

Infant Behavior and Development (2008) 31 (4): 665.

Neurons in monkey visual cortex detect lines defined by coherent motion of dots

E. Peterhans
B. Heider
R. Baumann

European Journal of Neuroscience (2005) 21 (4): 1091.

Computational modeling and exploration of contour integration for visual saliency

T Nathan Mundhenk
Laurent Itti

Biological Cybernetics (2005) 93 (3): 188.

Hierarchical self-organization of minicolumnar receptive fields

Jörg Lücke

Neural Networks (2004) 17 (8-9): 1377.

Early Cognitive Vision: Using Gestalt-Laws for Task-Dependent, Active Image-Processing

Florentin Wörgötter
Norbert Krüger
Nicolas Pugeault
Dirk Calow
Markus Lappe
Karl Pauwels
Marc Van Hulle
Sovira Tan
Alan Johnston

Natural Computing (2004) 3 (3): 293.

Collinear contextual suppression

Michael H Herzog
Ulrike Schmonsees
Manfred Fahle

Vision Research (2003) 43 (27): 2915.