TY - GEN
T1 - Directions of egomotion from antipodal points
AU - Lim, John
AU - Barnes, Nick
PY - 2008
Y1 - 2008
N2 - We present a novel geometrical constraint on the egomotion of a single, moving camera. Using a camera with a large field-of-view (FOV), the optical flow measured at a single pair of antipodal points on the image sphere constrains the set of all possible camera motion directions to a subset region. By considering the flow at many such antipodal point pairs, it is shown that the intersection of all subset regions arising from each pair yields an estimate on the directions of motion. These antipodal point constraints rely on the geometrical properties of using a spherical representation of the image as well as the larger information content available from a large FOV. An algorithm using these constraints was implemented and tested on both simulated and real images. Results show comparable performance to the state of the art in the presence of noise and outliers whilst processing in constant time.
AB - We present a novel geometrical constraint on the egomotion of a single, moving camera. Using a camera with a large field-of-view (FOV), the optical flow measured at a single pair of antipodal points on the image sphere constrains the set of all possible camera motion directions to a subset region. By considering the flow at many such antipodal point pairs, it is shown that the intersection of all subset regions arising from each pair yields an estimate on the directions of motion. These antipodal point constraints rely on the geometrical properties of using a spherical representation of the image as well as the larger information content available from a large FOV. An algorithm using these constraints was implemented and tested on both simulated and real images. Results show comparable performance to the state of the art in the presence of noise and outliers whilst processing in constant time.
UR - http://www.scopus.com/inward/record.url?scp=51949103540&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2008.4587497
DO - 10.1109/CVPR.2008.4587497
M3 - Conference contribution
SN - 9781424422432
T3 - 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR
BT - 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR
T2 - 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR
Y2 - 23 June 2008 through 28 June 2008
ER -