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| 2012-07-13 14:04:04 -0600 | commented question | How to find a "contour" of 3d object? Thanks for reply, Rui. Images i'm working with are shots of plankton spices in water. Here is video example of going trough set of shot: http://db.tt/jG2pQDSv It's not a fair slices, but i'm fine with blurry traces. This is not perfectly representing example, objects can be bigger and more complex, not just a small blurry dots. What i need is to determine positions and sizes of spices. Not just dimensions, but shape of objects, that's why i think i need to do scans through all 3 dimensions. Ideal solution would be some sort of "3d contours", as 2d contours are visually 2d image with set of indexed enclosed curves, so "3d contour" would be a binarized 3d matrix with set of indexed enclosed clouds of pixels. I'm completely new to computer vision so my terminology may be messy an confusing. |
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| 2012-07-13 04:00:42 -0600 | asked a question | How to find a "contour" of 3d object? I have a set of images that a taken from single point of view but with different focal length, kinda like computer tomography slices. So by stacking them up I can form 3d image of object. I need to find a "contour" of 3d objects. For now i see only brute force way: stack images in 3d cvMatND, do X, Y and Z slices and use cvFindContours(). Is there more intelligent way to do this? |