DocumentCode :
2287860
Title :
A linear formulation of shape from specular flow
Author :
Canas, Guillermo D. ; Vasilyev, Yuriy ; Adato, Yair ; Zickler, Todd ; Gortler, Steven ; Ben-Shahar, Ohad
Author_Institution :
Sch. of Eng. & Appl. Sci., Harvard Univ., Cambridge, MA, USA
fYear :
2009
fDate :
Sept. 29 2009-Oct. 2 2009
Firstpage :
191
Lastpage :
198
Abstract :
When a curved mirror-like surface moves relative to its environment, it induces a motion field-or specular flow- on the image plane that observes it. This specular flow is related to the mirror´s shape through a non-linear partial differential equation, and there is interest in understanding when and how this equation can be solved for surface shape. Existing analyses of this `shape from specular flow equation´ have focused on closed-form solutions, and while they have yielded insight, their critical reliance on externally-provided initial conditions and/or specific motions makes them difficult to apply in practice. This paper resolves these issues. We show that a suitable reparameterization leads to a linear formulation of the shape from specular flow equation. This formulation radically simplifies the reconstruction process and allows, for example, both motion and shape to be recovered from as few as two specular flows even when no externally-provided initial conditions are available. Our analysis moves us closer to a practical method for recovering shape from specular flow that operates under arbitrary, unknown motions in unknown illumination environments and does not require additional shape information from other sources.
Keywords :
image reconstruction; nonlinear differential equations; partial differential equations; shapes (structures); linear shape formulation; nonlinear partial differential equation; reconstruction process; specular flow equation; Closed-form solution; Differential equations; Image motion analysis; Image reconstruction; Information analysis; Lighting; Motion analysis; Nonlinear equations; Partial differential equations; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2009 IEEE 12th International Conference on
Conference_Location :
Kyoto
ISSN :
1550-5499
Print_ISBN :
978-1-4244-4420-5
Electronic_ISBN :
1550-5499
Type :
conf
DOI :
10.1109/ICCV.2009.5459164
Filename :
5459164
Link To Document :
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