3. The method of claim 1 , comprising: computing a geometric score for each region of said plurality of regions on the lowest resolution version, said geometric score computing a probability of a region matching stored reference data for a reference object corresponding to the detected object with respect to angles and distances among the plurality of regions.
3. The method of claim 1 , comprising: computing a geometric score for each region of said plurality of regions on the lowest resolution version, said geometric score computing a probability of a region matching stored reference data for a reference object corresponding to the detected object with respect to angles and distances among the plurality of regions. 4. The method of claim 3 , wherein the resolution context score for the lower resolution version of said image is computed as a weighted average score computed from a plurality of scores for a next higher resolution version of said higher resolution versions of said image.