Abstract

A method for reconstructing functionally defined surfaces by stereo images of real objects is proposed. A known approach to the computation of 3D models by silhouette images in the object space is used for preprocessing. The depth map is calculated using a well-known algorithm based on area with correlation of image intensity levels. In order to reconstruct a smooth surface with a compact description, a new method of transformation into a functionally defined model is proposed.

中文翻译：

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通过实物立体图像重建功能定义曲面的方法

摘要

提出了一种通过真实物体的立体图像重建功能定义的曲面的方法。通过对象空间中的轮廓图像计算3D模型的已知方法用于预处理。使用众所周知的算法，基于与图像强度水平相关的面积来计算深度图。为了用紧凑的描述重建光滑表面，提出了一种转换为功能定义的模型的新方法。