1 | initial version |
you must have misunderstood something,
feature detection != object detection. it was never made for that purpose, and you won't get anywhere like this.
to do a real object detection, you'd have to train a ml model, like a cascade, a hogdescriptor, or a neural network,
all you get from the feature detection is a set of matching features between 2 views of a scene, which is used to get a homography (for alignment, stiching, registration, pose, etc.)
2 | No.2 Revision |
you must have misunderstood something,
feature detection matching != object detection. it was never made for that purpose, and you won't get anywhere like this.
to do a real object detection, you'd have to train a ml model, like a cascade, a hogdescriptor, or a neural network,
all you get from the feature detection matching is a set of matching features between 2 views of a scene, which is used to get a homography (for alignment, stiching, registration, pose, etc.)