We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
If an image should be retrieved by its subregions from a large image database, an immense number of possible queries will appear. Therefore, the index which encodes the spatial in...
The use of speech and auditory interaction on wearable computers can provide an awareness of events and personal messages, without requiring one's full attention or disruptin...
Abstract. In this paper, we propose a novel method for generic object recognition by using higher-order local auto-correlations on probability images. The proposed method is an ext...
This paper explores the use of alternating sequential patterns of local features and saccading actions to learn robust and compact object representations. The temporal encoding rep...