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Luminosity diagram-based geometry and surface material reconstructing method

A material and geometry technology, applied in the field of geometry and surface material reconstruction, can solve problems such as the difficulty of normal vector map estimation, and achieve the effect of fast surface geometry reconstruction algorithm, fast calculation speed, and improved accuracy

Inactive Publication Date: 2014-12-17
BEIHANG UNIV
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Problems solved by technology

This will make the estimation of the normal vector map very difficult, and it is easy to make the optimization process of the entire algorithm converge to a wrong local solution

Method used

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  • Luminosity diagram-based geometry and surface material reconstructing method
  • Luminosity diagram-based geometry and surface material reconstructing method
  • Luminosity diagram-based geometry and surface material reconstructing method

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Embodiment Construction

[0031] like figure 1 As shown, the present invention is a method for reconstructing geometry and surface materials based on photometric maps, a process of recovering geometry and material bases from a group of photo sequences of known lighting conditions, and is characterized in that the steps are as follows:

[0032] (1) First, for the pixels in the picture sequence, the color values ​​of the pixels are clustered by using the conversion from the RGB color space to the HSV color space. When each pixel performs color space conversion, for each pixel ρ on the photo, first calculate the pixel set P under n lighting conditions at the position of the pixel at the same time, and convert its color value from the RGB color space P RGB Convert to HSV color space P HSV , method see D.Goldman et al.Shape and spatially-varying brdfs from photometric stereo.In ICCV,2005. Then the energy on the V channel is removed, and the parameters (H, S) are used for clustering to obtain an HSV space ...

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Abstract

The invention provides a luminosity diagram-based geometry and surface material reconstructing method. The method comprises the following steps of: (1) segmenting a material, constructing an initialized material weight figure, establishing Diffuse Albedo; (2) estimating a surface normal vector diagram; (3) iterating and solving a normal vector by using an Alternating-Constrained-Least-Square method and constructing a bidirectional reflectance distribution function (BRDF) material substrate; and (4) enhancing a depth filed. On the basis of a normal vector diagram, the least square surface depth information is obtained by a Poisson equation. By the method, different material areas and material attributes and the surface depth information of an object in a picture can be recovered automatically from a group of picture sequences with known light conditions reliably; and the object is subjected to three-dimensional reconstruction rapidly.

Description

technical field [0001] The invention belongs to the technical field of computer virtual reality, and in particular relates to a method for reconstructing geometry and surface material based on a photometric map, which reconstructs the normal vector, BRDF (Bidirectional Reflectance Distribution Function) material base and weight map, this method can be used to reconstruct the geometry and surface material of three-dimensional objects. Background technique [0002] Reconstructing scenes composed of real materials from image sequences has attracted the attention of researchers in recent years. The core of the problem of reconstructing real scenes is how to build a model to restore the entire light field, which means that the reflection shape of objects under any given lighting condition can be predicted. Usually, the method to solve this kind of problem consists of two steps: first, use the geometric method in graphics to restore the three-dimensional shape of the object and t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T17/00
Inventor 齐越胡勇张梓峰
Owner BEIHANG UNIV
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