Contents
Can bounding boxes overlap?
In object detection, it is usual to have bounding box targets to identify objects in images. These bounding boxes may sometimes overlap. In some models like Mask RCNN the bounding boxes are predicted directly and the overlap of the bounding boxes in not a problem.
What is IoU between these two boxes?
Intersect over Union (IoU) is a metric that allows us to evaluate how similar our predicted bounding box is to the ground truth bounding box. The idea is that we want to compare the ratio of the area where the two boxes overlap to the total combined area of the two boxes.
How do you calculate the intersection of two boxes?
In English: On each axis, check to see if the centers of the boxes are close enough that they’ll intersect. If they intersect on both axes, then the boxes intersect. If they don’t, then they don’t. You can change the <‘s to <= if you want to count edge-touching as intersecting.
What is the value 0 for bounding box intersection?
Value 0 means the boxes intersected. Or if you have more than 2 boxes this is not needed, leave the values in vector registers and use bitwise operations to combine results from multiple boxes. You have not specified language nor platform, but the support for SIMD like this, or very similar, is available in all platform and languages.
How to determine the intersection of two polygons?
You could create the boundingbox of the polygon, and compare test that against the volume. If the boundingbox of the polygon is inside your test volume, you have no intersection. If the two bounding volumes intersect, you will naturally have an intersection.
Which is the fastest way to create object aligned bounding boxes?
If you want object-aligned bounding boxes, try this tutorial on the seperation axis theorem by metanet: http://www.metanetsoftware.com/technique/tutorialA.html SAT isn’t the fastest solution, but it’s relatively simple.