TY - GEN
T1 - Using global consistency to recognise euclidean objects with an uncalibrated camera
AU - Forsyth, D. A.
AU - Mundy, J. L.
AU - Zisserman, A.
AU - Rothwell, C. A.
PY - 1994
Y1 - 1994
N2 - A recognition strategy consisting of a mixture of indexing on invariants and search, allows objects to be recognised up to a Euclidean ambiguity with an uncalibrated camera. The approach works by using projective invariants to determine all the possible projectively equivalent models for a particular imaged object; then a system of global consistency constraints is used to determine which of these projectively equivalent, but Euclidean distinct, models corresponds to the objects viewed. These constraints follow from properties of the imaging geometry. In particular, a recognition hypothesis is equivalent to an assertion about, among other things, viewing conditions and geometric relationships between objects, and these assertions must be consistent for hypotheses to be correct. The approach is demonstrated to work on images of real scenes consisting of polygonal objects and polyhedra.
AB - A recognition strategy consisting of a mixture of indexing on invariants and search, allows objects to be recognised up to a Euclidean ambiguity with an uncalibrated camera. The approach works by using projective invariants to determine all the possible projectively equivalent models for a particular imaged object; then a system of global consistency constraints is used to determine which of these projectively equivalent, but Euclidean distinct, models corresponds to the objects viewed. These constraints follow from properties of the imaging geometry. In particular, a recognition hypothesis is equivalent to an assertion about, among other things, viewing conditions and geometric relationships between objects, and these assertions must be consistent for hypotheses to be correct. The approach is demonstrated to work on images of real scenes consisting of polygonal objects and polyhedra.
UR - http://www.scopus.com/inward/record.url?scp=0028132373&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0028132373&partnerID=8YFLogxK
U2 - 10.1109/cvpr.1994.323873
DO - 10.1109/cvpr.1994.323873
M3 - Conference contribution
AN - SCOPUS:0028132373
SN - 0818658274
SN - 9780818658273
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 502
EP - 507
BT - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PB - Publ by IEEE
T2 - Proceedings of the 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Y2 - 21 June 1994 through 23 June 1994
ER -