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Three-dimensional surface reconstruction based on photometric stereo requires accurate positioning of the light source or estimation of the lighting parameters, which increases the complexity of the operation in experiments. Moreover, the actual light environment is composed of many kinds of complex optical components, and the accurate lighting parameters cannot be measured. In this paper, a reference...
Photometric stereo (PMS) can reconstruct shape and albedo of an object by using multiple images captured under varied illumination directions. However, PMS may fail if light intensity is varied across different images captured under different unknown lighting directions. This paper presents a method that can estimate shapes and albedo of inhomogeneous Lambertian objects with much less constrained...
Three-dimensional reconstruction from a single input image is a very difficult issue, especially for the texture images. Moreover, the unknown lighting parameters also make this problem more complex. In this paper, an improved genetic algorithm has been proposed to reconstruct the 3D shape from a single texture image with similar appearances. The proposed scheme contains three main steps: first, the...
An effective method has been proposed in this paper to reconstruct the 3D shape from single texture image with similar appearances and reflectance properties. Two main steps are required: the first is the estimation of lighting parameters, which has been estimated by detecting the largest direction of the brightness change, the second is the 3D reconstruction from single input image, which has been...
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