Output details
11 - Computer Science and Informatics
University of Essex
Article title
An Algorithm for the Contextual Adaption of SURF Octave Selection With Good Matching Performance: Best Octaves
Type
D - Journal article
Title of journal
IEEE Transactions on Image Processing
Article number
-
Volume number
21
Issue number
1
First page of article
297
ISSN of journal
1057-7149
Year of publication
2012
URL
-
Number of additional authors
3
Additional information
<23> This work proposes a method to significantly reduce the computational efficiency of the Speeded-Up Robust Features algorithm, that is ins widespread use in computer vision, while achieving better matching performance, thus enabling their use in practical mobile robots. This work is part of our ongoing collaboration with NASA Jet Propulsion Lab also linked to our EPSRC ROBOSAS global engagement grant. The contact is Adrian Stoica, Head Advanced Robotics Group, NASA JPL, Adrian.Stoica@jpl.nasa.gov.
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Artificial Intelligence
Citation count
2
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
