So I've got a partially created 3D model. Its of a bronze sculpture. the images were extracted from a 4k video file and then curated for overlap and sharpness. the problem is that when i run the image import step, it rejects the overlap of a large number of the cameras. So then by inspecting the virtual cameras created, I find one of the edge images, sort through the curated frame set and find the image closest to it and try to add that one to the image set.
Yet even though to my eye I see a lot of distinct areas of overlap (feature coincidence) the algorithm rejects it as not having enough matching features.
in the addition step I dont get any control over how deep or fast etc to do the matching. What can I do to improve the controls on this?
Yet even though to my eye I see a lot of distinct areas of overlap (feature coincidence) the algorithm rejects it as not having enough matching features.
in the addition step I dont get any control over how deep or fast etc to do the matching. What can I do to improve the controls on this?
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