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SYSTEM AND METHOD FOR RECONSTRUCTION OF RANGE IMAGES FROM MULTIPLE TWO-DIMENSIONAL IMAGES USING A RANGE BASED VARIATIONAL METHOD

机译:使用基于范围的变分方法从多个二维图像重建范围图像的系统和方法

摘要

Reconstruction of range images from multiple two-dimensional images uses 2D images of a scene, defining a reference 2D image and then defining an initial generated range image associated with the reference 2D image. The initial generated range image includes depth information for at least a portion of the pixels of the reference 2D image. A cost-functional is provided to calculate a cost reflecting how well the generated range image matches a set of criteria. Each criterion is evaluated as a cost sub-functional of the cost-functional, together with a factor that reflects the criterion's importance to the overall cost. A variational method is used to find an optimal generated range image in regards to this cost. The variational method includes repeatedly updating the generated range image and re-calculating the cost using the cost-functional until a given stopping criterion is reached.
机译:从多个二维图像重建距离图像使用场景的2D图像,定义参考2D图像,然后定义与参考2D图像关联的初始生成的距离图像。初始生成的范围图像包括参考2D图像的像素的至少一部分的深度信息。提供了成本函数来计算成本,该成本反映了所生成的距离图像与一组标准的匹配程度。每个标准都被评估为成本功能的成本子功能,以及反映该标准对总成本重要性的因素。关于此成本,使用变分方法来找到最佳的生成范围图像。可变方法包括重复更新所生成的距离图像,并使用成本函数重新计算成本,直到达到给定的停止标准为止。

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