Recovery of surfaces with discontinuities by fusing shading and range data within a variational framework

This work provides a variational framework for fusing range and intensity data for recovering regularized surfaces. It is shown that this framework provides natural boundary conditions for the shape-from-shading problem, results in a new shape-from-shading formulation in the absence of range data, a...

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Bibliographic Details
Published inIEEE transactions on image processing Vol. 5; no. 8; pp. 1243 - 1251
Main Authors Shah, J., Pien, H.H., Gauch, J.M.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.08.1996
Institute of Electrical and Electronics Engineers
Subjects
Analytical models
Applied sciences
Boundary conditions
Exact sciences and technology
Ferroelectric films
Image processing
Image reconstruction
Information, signal and communications theory
Laboratories
Layout
Mathematics
Nonvolatile memory
Random access memory
Signal processing
Surface reconstruction
Telecommunications and information theory
Discontinuity
Image processing
Variational principle
Pattern recognition
Boundary condition
Image reconstruction
Surface
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Summary:This work provides a variational framework for fusing range and intensity data for recovering regularized surfaces. It is shown that this framework provides natural boundary conditions for the shape-from-shading problem, results in a new shape-from-shading formulation in the absence of range data, and provides a new fusion paradigm when range data is incorporated. The approach is demonstrated on simulated range and intensity images; error analysis with respect to the ground truth surface is presented. It is shown that the formulation performs well even in very noisy images.
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ISSN:1057-7149
1941-0042
DOI:10.1109/83.506759