Belief propagation with directional statistics for solving the shape-from-shading problem

Tom Fincham Haines, Richard C Wilson

Research output: Contribution to conferencePaper

6 Citations (Scopus)
127 Downloads (Pure)

Abstract

The Shape-from-Shading [SfS] problem infers shape from reflected light, collected using a camera at a single point in space only. Reflected light alone does not provide sufficient constraint and extra information is required; typically a smoothness assumption is made. A surface with Lambertian reflectance lit by a single infinitely distant light source is also typical.
We solve this typical SfS problem using belief propagation to marginalise a probabilistic model. The key novel step is in using a directional probability distribution, the Fisher-Bingham distribution. This produces a fast and relatively simple algorithm that does an effective job of both extracting details and being robust to noise. Quantitative comparisons with past algorithms are provided using both synthetic and real data.
Original languageEnglish
Pages780-791
Number of pages12
Publication statusPublished - 2008
EventEuropean Conference on Computer Vision - Marseille, France
Duration: 12 Oct 200818 Oct 2008
Conference number: 10

Conference

ConferenceEuropean Conference on Computer Vision
Abbreviated titleECCV
CountryFrance
CityMarseille
Period12/10/0818/10/08

Fingerprint Dive into the research topics of 'Belief propagation with directional statistics for solving the shape-from-shading problem'. Together they form a unique fingerprint.

  • Cite this

    Fincham Haines, T., & Wilson, R. C. (2008). Belief propagation with directional statistics for solving the shape-from-shading problem. 780-791. Paper presented at European Conference on Computer Vision, Marseille, France.