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CONCEPT FOR DETERMINING A CONFIDENCE/UNCERTAINTY MEASURE FOR DISPARITY MEASUREMENT

机译:确定视差测量的信心/不确定性的概念

摘要

A more effective confidence/uncertainty measure determination for disparity measurements is achieved by performing the determination on an evaluation of a set of disparity candidates for a predetermined position of a first picture at which the measurement of the disparity relative to the second picture is to be performed, and if this evaluation involves an accumulation of a contribution value for each of this set of disparity candidates, which contribution values depends on the respective disparity candidate and a dissimilarity to the second picture which is associated with the respective disparity candidate according to a function which has a first monotonicity with a dissimilarity associated with the respective disparity candidate, and a second monotonicity, opposite to the first monotonicity, with an absolute difference between the respective disparity candidate and a predetermined disparity having a minimum dissimilarity associated therewith among dissimilarities associated with the set of disparity candidates. By this means, the confidence/uncertainty measure tends to decrease the confidence, and increase the uncertainty, with increasing number of local minima in the spatial distribution of disparity candidates. Further, the larger the disparity distance of any local minimum to the global minimum in terms of disparity is, the lower the confidence and the higher the uncertainty, respectively, tends to be. Further, the larger the distance of any local minimum to the global minimum in terms of dissimilarity is, the lower is its influence of the confidence/uncertainty measure determination.
机译:通过对第一图像的预定位置的一组视差候选的评估进行确定来实现对视差测量的更有效的置信度/不确定性测量确定,在该预定位置上将执行相对于第二图像的视差的测量并且,如果该评估涉及针对该组视差候选者中的每一个的贡献值的累积,则该贡献值取决于相应的视差候选者以及与根据功能的与相应的视差候选者相关联的第二图片的相异性。具有具有与相应的视差候选者相关联的相异性的第一单调性,以及具有与第一单调性相反的第二单调性,其与相应的视差候选者之间的绝对差与具有与之相关联的相异性之间的最小相异性的预定视差之间的绝对差一组视差候选者。通过这种方式,随着视差候选者的空间分布中局部极小值的增加,置信度/不确定性度量倾向于降低置信度,并增加不确定性。此外,就视差而言,任何局部最小值到全局最小值的视差距离越大,则置信度越低,不确定性越高。此外,就不相似而言,任何局部最小值到全局最小值的距离越大,其对置信度/不确定性度量确定的影响就越小。

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