Junxiao, Gu. and Kadirkamanathan, V. (1994) Shape From Shading: A B-Splines Based Algorithm. Research Report. ACSE Research Report 545 . Department of Automatic Control and Systems Engineering
Abstract
In this paper, we propose a B-spline based approach to the "Shape from Shading " problem. Its basis lies in approximating a smooth surface by uniform bicubic B-spline basis functions. Since the surface normal in a patch is uniquely determined by heights of its sixteen neighbour vertices, the image brightness is directly related to the control vertices. The control vertices are then determined by minimising a cost functional corresponding to the squared brightness error, optimised by conjugate gradient method. The proposed algorithm does not require any integrability constraint or knowledge of boundary condition. Using several experiments with synthetic images, we demonstrate the performance of the algorithm.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 24 Jul 2014 10:42 |
Last Modified: | 27 Oct 2016 01:01 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 545 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:79876 |