摘要 |
An object-image alignment data generating method for use in an object recognition system is presented. The method obtains a 3D model and a set of 2D images of the object. Each 2D image from the set is captured based on a particular camera point of view. The method then uses the 3D model of the object to generate multiple silhouettes of the object according to different camera point of views. Each silhouette is then matched and aligned with a 2D image based on the corresponding camera point of view. The method also derives at least one descriptor from the 2D images and compiles feature points that correspond to the descriptors. Each feature point includes a 2D location and a 3D location. The method then generates an object-image alignment packet by packaging the 2D images, the descriptors, and the feature points. |