Integration of shape from x modules: Combining stereo and shading
JE Cryer, PS Tsai, M Shah - Proceedings of IEEE Conference …, 1993 - ieeexplore.ieee.org
JE Cryer, PS Tsai, M Shah
Proceedings of IEEE Conference on Computer Vision and Pattern …, 1993•ieeexplore.ieee.orgStereo algorithms suffer from the lack of local surface texture due to smoothness of depth
constraint or local mismatches in disparity estimates. The stereo methods only provide a
coarse depth map which can be associated with a low pass image of the depth map. Shape
from shading algorithms produce better estimates of local surface areas, but some 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 …
constraint or local mismatches in disparity estimates. The stereo methods only provide a
coarse depth map which can be associated with a low pass image of the depth map. Shape
from shading algorithms produce better estimates of local surface areas, but some 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 …
Stereo algorithms suffer from the lack of local surface texture due to smoothness of depth constraint or local mismatches in disparity estimates. The stereo methods only provide a coarse depth map which can be associated with a low pass image of the depth map. Shape from shading algorithms produce better estimates of local surface areas, but some 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, a method is presented for integrating the high-frequency information from the shape from shading and the low frequency information from stereo.< >
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