This paper proposes the kernel orthogonal mutual subspace method (KOMSM) for 3D object recognition. KOMSM is a kernel-based method for classifying sets of patterns such as video fr...
We have implemented a neurobiologically plausible system on a robot that integrates visual attention, object recognition, language and action processing using a coherent cortex-lik...
Rebecca Fay, Ulrich Kaufmann, Andreas Knoblauch, H...
We describe a method to detect instances of a walking person carrying an object seen from a stationary camera. We take a correspondence-free motion-based recognition approach, tha...
This chapter presents an approach for texture and object recognition that uses scale- or affine-invariant local image features in combination with a discriminative classifier. Text...
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...