TY - GEN
T1 - Shape from specular flow
T2 - Is one flow enough?
AU - Vasilyev, Yuriy
AU - Zickler, Todd
AU - Gortler, Steven
AU - Ben-Shahar, Ohad
PY - 2011/1/1
Y1 - 2011/1/1
N2 - Specular flow is the motion field induced on the image plane by the movement of points reflected by a curved, mirror-like surface. This flow provides information about surface shape, and when the camera and surface move as a fixed pair, shape can be recovered by solving linear differential equations along integral curves of flow. Previous analysis has shown that two distinct motions (i.e., two flow fields) are generally sufficient to guarantee a unique solution without externally-provided initial conditions. In this work, we show that we can often succeed with only one flow. The key idea is to exploit the fact that smooth surfaces induce integrability constraints on the surface normal field. We show that this induces a new differential equation that facilitates the propagation of shape information between integral curves of flow, and that combining this equation with known methods often permits the recovery of unique shape from a single specular flow given only a single seed point.
AB - Specular flow is the motion field induced on the image plane by the movement of points reflected by a curved, mirror-like surface. This flow provides information about surface shape, and when the camera and surface move as a fixed pair, shape can be recovered by solving linear differential equations along integral curves of flow. Previous analysis has shown that two distinct motions (i.e., two flow fields) are generally sufficient to guarantee a unique solution without externally-provided initial conditions. In this work, we show that we can often succeed with only one flow. The key idea is to exploit the fact that smooth surfaces induce integrability constraints on the surface normal field. We show that this induces a new differential equation that facilitates the propagation of shape information between integral curves of flow, and that combining this equation with known methods often permits the recovery of unique shape from a single specular flow given only a single seed point.
UR - http://www.scopus.com/inward/record.url?scp=80052898515&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2011.5995662
DO - 10.1109/CVPR.2011.5995662
M3 - Conference contribution
AN - SCOPUS:80052898515
SN - 9781457703942
T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SP - 2561
EP - 2568
BT - 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011
PB - Institute of Electrical and Electronics Engineers
ER -