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澳洲悉尼论文代写:约束条件

该方法是约束条件下的一种SFS方法,需要解决其他约束条件。因此,传统的SFS方法也基于三个假设。该方法的主要优点是它能从单幅图像中恢复出更精确的三维模型,可以应用于几乎所有物体类型的镜像。然而,对单纯依靠数学计算重建的亮度,效果不佳,但由于照明条件的要求比较严格,需要知道精确的位置和光源等信息导向,使方法的亮度难以应用于室外景观照明等复杂的三维重建的情况。虽然立体图像的明暗处理方法支持从单一图像重建三维模型,但在单一图像中可用较少的信息,实际重建了一般效果。所以,SFS方法伍德姆提出改善光度立体。光度立体由多个非共线光源获得多幅物体图像,然后用不同的图像亮度联立方程,求解物体的表面法线方向,最终还原物体的形状。从技术上讲,两光源的使用方法可以得到对象的信息,但多数据冗余资源的使用可以通过等因素造成的阴影和镜面反射的解决,不能解决的问题,具有较好的鲁棒性,重建效果得到改善,所以基本上使用多个电流的方法(四至六)光源的三维重建。

澳洲悉尼论文代写:约束条件

this method is a SFS under-constrained problem and needs to solve other constraints. Therefore, the traditional method of SFS also based on three assumptions. The main advantage of the brightness of the method is that it can recover from a single image in a more precise three-dimensional model can be applied in addition to mirror the object almost all types of objects. However, the brightness of the reconstruction of relying solely on mathematical calculations, results are poor, but because of the lighting conditions more stringent requirements, the need to know the precise position and orientation of the light source and other information, so that the brightness of the method is difficult to apply in the case of an outdoor scene lighting and other complex three-dimensional reconstruction on. Photometric stereo.Although the shading method to support the reconstruction of three-dimensional model from a single image, but less information is available in a single image, the actual reconstruction of the general effect. So Woodham of SFS method is proposed to improve the photometric stereo. Photometric stereo by a plurality of non-collinear light source to obtain multiple images of the object, and then a different image brightness simultaneous equations, solving the surface normal direction of the object, and ultimately restore the shape of the object. Technically, the use of two light sources can be obtained method object to the information, but the use of multiple sources of data redundancy can be resolved by the shadows and specular reflections caused by such factors can not solve the problem, better robustness, reconstruction effect It can be improved, so the current method basically using a plurality of (four to six) three-dimensional reconstruction of the light source.

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