Active Fixation for Scene Exploration

Kjell Brunnström, Jan-Olof Eklundh and Tomas Uhlin

To appear in International Journal of Computer Vision (Original version March 1993; Revised version February 1994)


It is well-known that active selection of fixation points in humans is highly context and task dependent. It is therefore likely that successful computational processes for fixation in active vision should be so too. We are considering active fixation in the context of recognition of man-made objects characterized by their shapes. In this situation the qualitative shape and type of observed junctions play an important role. The fixatnada are driCVAP/ven by a grouping strategy, which forms sets of connected junctions separated from the surrounding at depth discontinuities. We have, furthermore, developed a methodology for rapid active detection and classification of junctions by selection of fixation points. The approach is based on direct computations from image data and allows integration of stereo and accommodation cues with luminance information. This work form a part of an effort to perform active recognition of generic objects, in the spirit of Malik and Biederman, but on real imagery rather than on line-drawings.

Full paper: PostScript 3.4M

Kjell Brunnström <>
Jan-Olof Eklundh <>
Tomas Uhlin <>