Lambertian reflectance and linear subspaces

Details Lambertian reflectance and linear subspaces Lambertian reflectance and linear subspaces

G - Physics

06

T

G06T 7/60 (2006.01) G06K 9/62 (2006.01) G06K 9/64 (2006.01) G06T 15/50 (2006.01)

Patent

CA 2347645

A method for choosing an image from a plurality of three-dimensional models which is most similar to an input image is provided. The method includes the steps of (a) providing a database of the plurality of three-dimensional models; (b) providing an input image; (c) positioning each three-dimensional model relative to the input image; (d) for each three-dimensional model, determining a rendered image that is most similar to the input image by: (d)(i) computing a linear subspace that describes an approximation to the set of all possible rendered images that each three- dimensional model can produce under all possible lighting conditions where each point in the linear subspace represents a possible image; and one of(d)(ii) finding the point on the linear subspace that is closest to the input image or finding a rendered image in a subset of the linear subspace obtained by projecting the set of images that are generated by positive lights onto the linear subspace; (e) computing a measure of similarly between the input image and each rendered image; and (f) selecting the three-dimensional model corresponding to the rendered image whose measure of similarity is most similar to the input image. Step (d) is preferably repeated for each of a red, green, and blue color component for each three-dimensional model. The linear subspace is preferably either four-dimensional or nine-dimensional.

Affiliated with

Also associated with

Rating

Lambertian reflectance and linear subspaces does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Lambertian reflectance and linear subspaces, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Lambertian reflectance and linear subspaces will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFCA-PAI-O-1389767