Title
Integration Of Shape From X Modules: Combining Stereo And Shading
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, the 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 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 image. In order to compute a better depth map, we present a method for integrating the high frequency information from the shape from shading and the low frequency information from stereo.
Publication Date
12-1-1993
Publication Title
IEEE Computer Vision and Pattern Recognition
Number of Pages
720-721
Document Type
Article; Proceedings Paper
Identifier
scopus
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0027848073 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0027848073
STARS Citation
Cryer, James Edwin; Tsai, Ping Sing; and Shah, Mubarak, "Integration Of Shape From X Modules: Combining Stereo And Shading" (1993). Scopus Export 1990s. 483.
https://stars.library.ucf.edu/scopus1990/483