Shape-from-shading (SFS) is to reconstruct three-dimensional (3D) shape from a single gray image, which is an important problem in computer vision. We propose a novel SFS method based on hybrid reflection model which contains both diffuse reflectance and specular reflectance. The intensity gradient of image is in the direction that the shape of surface changes most, so we use directional derivative of the reflectance map as parts of objective function. When discrete characteristic of digital images is considered, finite difference approximates differential operator. So the reflectance map equation described by a partial differential equation (PDE) turns into an algebra equation about the unknown surface height correspondingly. Using iterative numeric computation, a new SFS method is gained. Experiments on synthesis and real images show that the proposed SFS method is accurate and fast.

© 2007 Chinese Optics Letters

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

Related Journal Articles

• Sampled-speckle photography for measurement of deformation (OL)
• Three-dimensional object recognition by use of digital holography (OL)
• Three-dimensional speckle dynamics in paraxial optical systems (JOSAA)
• Texture classification based on comparison of second-order statistics. I. Two-point probability density function estimation and distance measure (JOSAA)
• Robust laser speckle recognition system for
authenticity identification (OE)

Related Conference Papers

• Automatic classification of images with a photorefractive crystal
• Integrated System Design for Application-Specific Imaging
• Integrated Sensing and Processing for Target Detection in Multi-Spectral data
• Template construction for object and biometric recognition
• Automatic classification of biological specimens: Diatoms