opencv - 什么是一致性图(置信度图)？

Question

谁能帮我解释一下什么是计算机视觉中的一致性图(置信度图)？是否有任何公式或内置函数可以计算它？

提前致谢。

Answer 1

置信度图是您使用先验信息和算法迭代得出的知识。预测和测量更新风格的视觉跟踪算法就是很好的例子。来自 wiki(均值漂移):

The mean shift algorithm can be used for visual tracking. The simplest such algorithm would create a confidence map in the new image based on the color histogram of the object in the previous image, and use mean shift to find the peak of a confidence map near the object's old position. The confidence map is a probability density function on the new image, assigning each pixel of the new image a probability, which is the probability of the pixel color occurring in the object in the previous image. A few algorithms, such as ensemble tracking, CAMshift, expand on this idea.

据我所知，另一方面，术语一致性图通常用于图像配准问题。体素需要“照片一致”才能在 3d 中渲染(建模)。再次来自 wiki(照片一致性):

In computer vision photo-consistency determines whether a given voxel is occupied. A voxel is considered to be photo consistent when its color appears to be similar to all the cameras that can see it. Most voxel coloring or space carving techniques require using photo consistency as a check condition in Image-based modeling and rendering applications.

编辑:OpenCV 具有内置的卡尔曼滤波器、均值偏移和凸轮偏移算法。它还有一个 3D rendering API