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
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