Ola Ramström

Learn More
The question “what is on the table?” is normally simple for a human, but difficult for a machine. The problem is that the machine does not know what to search for, as no visual properties of the targets are known. Machine-vision algorithms, in general, need explicit knowledge of visual properties to perform object detection. Moreover, several visual(More)
Detection of objects is in general a computationally demanding task. To simplify the problem it is of interest to focus the attention to a set of regions of interest. Indoor environments often have large homogeneous textured objects, such as walls and furniture. In this paper we present a model which detects large homogeneous regions and uses this(More)
  • 1