Abstract. This paper proposes a new texture classification system, which is distinguished by: (1) a new rotation-invariant image descriptor based on Steerable Pyramid Decompositio...
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
The testing and formal verification of black box software components is a challenging domain. The problem is even harder when specifications of these components are not available...
There have been important recent advances in object recognition through the matching of invariant local image features. However, the existing approaches are based on matching to i...
In this paper we propose a new system for real-time feature acquisition and integration based on high-resolution stereo images that is suitable for mobile robot platforms with limi...