Title
Semantic Robot Vision Challenge: Current State and Future Directions
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 Helmer117611.49
David Meger240332.90
Pooja Viswanathan3726.34
Sancho McCann42007.28
Matthew Dockrey591.26
Pooyan Fazli6567.04
Tristram Southey71547.61
Marius Muja81335.85
Michael Joya960.98
James J. Little102430269.59
D. G. Lowe11157181413.60
Alan K. Mackworth122765540.59