Patent ID: 9111348
Filing Date: 2015-08-18
Classification: G06T

Abstract:
1. A computer-based method for estimating object pose and positioning information of a target object based on a visual data set corresponding to at least the target object, the method comprising the steps of: providing, using a database, a plurality of category object models, each category object model having at least one parameter relating to a geometrical characteristic of the each category object model; analyzing, using a processor, the visual data set in comparison to the plurality of category object models; fitting, using the processor and based on analyzing the visual data set in comparison to the plurality of category object models, an object-fitting model onto, around, or within a portion of the analyzed visual data set corresponding to the target object, the object-fitting model having at least one parameter relating to a geometrical characteristic of the object-fitting model; estimating, using the processor, the at least one parameter of the object-fitting model; and storing, using the processor, a learned object model having at least one parameter in the database, based on the object-fitting model and the estimated at least one parameter of the object-fitting model for enhancing subsequent object recognition based on the learned object model.