Object-image correspondence for curves under finite and affine cameras

Computer Science – Computer Vision and Pattern Recognition

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

19 pages, 2 figures. This version considers the case of rational algebraic curves

Scientific paper

We provide criteria for deciding whether a given planar curve is an image of a given spatial curve, obtained by a central or a parallel projection with unknown parameters. These criteria reduce the projection problem to a certain modification of the equivalence problem of planar curves under affine and projective transformations. The latter problem can be addressed using Cartan's moving frame method. This leads to a novel algorithmic solution of the projection problem for curves. The computational advantage of the algorithms presented here, in comparison to algorithms based on a straightforward solution, lies in a significant reduction of a number of real parameters that has to be eliminated in order to establish existence or non-existence of a projection that maps a given spatial curve to a given planar curve. The same approach can be used to decide whether a given finite set of ordered points on a plane is an image of a given finite set of ordered points in R^3. The motivation comes from the problem of establishing a correspondence between an object and an image, taken by a camera with unknown position and parameters.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Object-image correspondence for curves under finite and affine cameras does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Object-image correspondence for curves under finite and affine cameras, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Object-image correspondence for curves under finite and affine cameras will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-198391

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.