Name
Abstract | ||
|---|---|---|
The goal of shape from shading (SFS) is to recover a relative depth map from the variations of image intensity associated to changes in surface shape. There have been very few attempts at developing biologically plausible solutions to this problem, and a sound neurophysiological basis is still missing. Here we present a biologically inspired approach to SFS, formulated in terms of the well-known linear-nonlinear model of neuronal responses. Without resorting to the image irradiance equation, which is at the heart of the traditional SFS algorithms, we submit the input image to a linear filter followed by nonlinear transformations modelled on the tuning curves of the disparity-selective binocular neurons. This yields plausible shape estimates, without requiring information regarding surface reflectance or illumination. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.patrec.2011.03.017 | Pattern Recognition Letters |
Keywords | Field | DocType |
traditional sfs algorithm,image intensity,linear-nonlinear model,computer vision,biological vision,linear-nonlinear neuronal model,input image,linear filter,surface reflectance,biologically plausible solution,disparity-selective binocular neuron,yields plausible shape estimate,shape from shading,surface shape,image irradiance equation,linear filtering,depth map | Computer vision,Active shape model,Nonlinear system,Linear filter,Neurophysiology,Binocular neurons,Artificial intelligence,Depth map,Reflectivity,Photometric stereo,Mathematics | Journal |
Volume | Issue | ISSN |
32 | 9 | Pattern Recognition Letters |
Citations | PageRank | References |
2 | 0.38 | 14 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José R. A. Torreão | 1 | 59 | 10.18 |
| João L. Fernandes | 2 | 16 | 3.80 |