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ICCV 2005 Computer Vision Contest: Where Am I?

Honorable Mention for Team UCF

                [click on image to enlarge]

 

http://research.microsoft.com/research/china/ICCV2005/Contest/

Goals

"The goal of this contest was to provide a fun framework for vision students to try their hand at solving a challenging vision-related task and to improve their knowledge and understanding by competing against other teams from around the world. The contest results were announced in October 2005 at ICCV 2005 in Beijing, but people are welcome to continue refining their algorithms on the provided data or use this data as the basis of class projects.


The Task

For the first Computer Vision Contest, we selected the following location recognition task, which we called "Where Am I?" for short.

Contestants are given a collection of color images taken by a calibrated digital camera. The photographs have been taken at various locations and often share overlapping fields of view or certain objects in common. The GPS locations for a subset of the images are provided. The goal of the contest is to guess, as accurately as possible, the GPS locations of the un-labeled images."
 

Given a set of images taken at known GPS locations,

    

we had to find the GPS locations of un-labeled pictures.

 
 

Results

Some of our results from the contest are shown here. The satellite picture at the bottom is overlaid with our localization results. Blue marks our localization and red circles are ground truth. Yellow links show error in localization.

Final Results Announced

 

Team Avg. Score Histogram of Errors (score) Elapsed Time Date
< 2 m (5 pts) < 4 m (4 pts) < 8 m (3 pts) < 16 m (2 pts) < 32 m (1 pts) > 32 m (0 pts)
GMU1 3.50 7 2 8 5 0 0 00:15:10 2005-10-10T10:42:53
CMP 3.00 4 5 3 7 3 0 ? 13-Oct-2005 08:51:14
SHALOM 2.86 3 2 8 7 2 0 03:41:12 2005-10-14T16:00:48-02:00
UCF 2.82 3 4 6 4 5 0 03:32:16 2005-10-13T21:53:07
INRIA0 2.27 4 0 7 4 1 6 00:05:50 2005-10-12T16:36:27

 

 

              [click on image to enlarge]

 

 

Other Team Members

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