Abstract | ||
---|---|---|
The Semantic Robot Vision Competition provided an excellent opportunity for our research lab to integrate our many ideas under one umbrella, in- spiring both collaboration and new research. The task, visual search for an unknown object, is rel- evant to both the vision and robotics communities. Moreover, since the interplay of robotics and vision is sometimes ignored, the competition provides a venue to integrate two communities. In this paper, we outline a number of modifications to the com- petition to both improve the state-of-the-art and in- crease participation. |
Year | Venue | Keywords |
---|---|---|
2009 | Clinical Orthopaedics and Related Research | pattern recognition,visual search |
Field | DocType | Volume |
Visual search,Robot vision,Computer science,Human–computer interaction,Artificial intelligence,Machine learning,Robotics,Vision science | Journal | abs/0908.2 |
Citations | PageRank | References |
6 | 0.65 | 10 |
Authors | ||
12 |
Name | Order | Citations | PageRank |
---|---|---|---|
Scott Helmer | 1 | 176 | 11.49 |
David Meger | 2 | 403 | 32.90 |
Pooja Viswanathan | 3 | 72 | 6.34 |
Sancho McCann | 4 | 200 | 7.28 |
Matthew Dockrey | 5 | 9 | 1.26 |
Pooyan Fazli | 6 | 56 | 7.04 |
Tristram Southey | 7 | 154 | 7.61 |
Marius Muja | 8 | 133 | 5.85 |
Michael Joya | 9 | 6 | 0.98 |
James J. Little | 10 | 2430 | 269.59 |
D. G. Lowe | 11 | 15718 | 1413.60 |
Alan K. Mackworth | 12 | 2765 | 540.59 |