TWO DIMENSIONAL

Brand Owner (click to sort) Address Description
FACE TO FACE FACE TO FACE INC. 109 Wilkinson Road Brampton, Ontario L6T 4X1 Canada two dimensional, distorted images including computer generated graphics and other distorted images for application to, or for use in manufacturing or producing three dimensional objects; three dimensional objects manufactured or produced from two dimensional distorted images using material forming processes and materials including vacuum forming, injection moulding, metal stamping and paper embossing; computer software used in creating two dimensional, distorted images and/or three dimensional objects;creation of two dimensional distorted images including computer distorted graphics and other distorted images for application to, or for use in manufacturing or producing industrial and commercial three dimensional objects using material forming processes and materials including vacuum forming, injection moulding, metal stamping and paper embossing;
SLIM WESTERN GEOPHYSICAL COMPANY OF AMERICA 523 W. 6TH ST. LOS ANGELES 14, CALIF. Two Dimensional, Vertical Charts of Lithologic Models of a Portion of the Earth's Subsurface Derived at Least in Part from Seismic Data Taken from Said Portion of the Earth's Surface;
STORK STUDIOS Virginia Elgin 406 Cynthia Lane Vienna VA 22180 Two-dimensional, three-dimensional and four-dimensional fetal photography and videotaping services using imaging units to acquire images for non-medical purposes;Photographic computer imaging; photographic film developing of fetal images taken using an imaging unit such as an ultrasound unit;Key chains, computer mouse pads, video tapes, recording discs featuring fetal images taken using an imaging unit such as an ultrasound unit;Photographs featuring fetal images taken using an imaging unit such as an ultrasound unit;T-shirts, hats;Picture frames;
 

Where the owner name is not linked, that owner no longer owns the brand

   
Technical Examples
  1. (N+Q) dimensions of data can be analyzed in an N-dimensional native OLAP cube by submitting an (N+Q)-dimensional custom query and converting the (N+Q)-dimensional custom query into an N-dimensional query for submission to the N-dimensional native OLAP cube. An N-dimensional result of the N-dimensional query is provided and converted into an (N+Q)-dimensional result of the (N+Q)-dimensional custom query. The (N+Q) dimensional result is then provided as an answer to the (N+Q) dimensional custom query.