Iterative context compilation for visual object recognition

This contribution describes an almost parameterless iterative context compilation method, which produces feature layers, that are especially suited for mixed bottom-up top-down association architectures. The context model is simple and enables fast calculation. Resulting structures are invariant to position, scale and rotation of input patterns.

• Type: Conference
• Year: 2006
• Where: ESANN
• Authors: Jens Teichert, Rainer Malaka
• Keywords: Bottom-up Top-down Association, Context Model, ESANN 2006, ESANN 2007, Iterative Context Compilation