Title

Integration Of Shape From Shading And Stereo

Keywords

Human Visual System; Integration of visual modules; Shape from shading; Shape from stereo

Abstract

Stereo algorithms suffer from the lack of local surface texture due to smoothness of depth constraint, or local miss-matches in disparity estimates. Thus, most stereo methods only provide a coarse depth map which can be associated with a low pass image of the depth map. On the other hand, shape from shading algorithms generally produce better estimates of local surface areas, but some of them have problems with variable albedo and spherical surfaces. Thus, shape from shading methods produce better detailed depth information, and can be associated with the high pass image of the depth map. In order to compute a better depth map, we present a method for integrating the high frequncy information from the shape from shading and the low frequency information from stereo. The proposed algorithm is very simple, takes about 0.7 s for a 128 × 128 image on a Sun SparcStation-1, is non-iterative, and requires very little adjustment of parameters. The results obtained with a variety of synthetic and real images are discussed. The quality of depth obtained by integrating shading and stereo is compared with the ground truth (range image) using height error measure, and improvement ranging from 30 to 50% over stereo, and from 65 to 98% over shading is demonstrated. © 1995.

Publication Date

1-1-1995

Publication Title

Pattern Recognition

Volume

28

Issue

7

Number of Pages

1033-1043

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/0031-3203(94)00183-M

Socpus ID

0029344275 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0029344275

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