Abstract: Method or system for reinforcement learning that simultaneously learns a DR distribution ? while optimizing an agent policy ? to maximize performance over the learned DR distribution; method or system for training a learning agent using data synthesized by a simulator based on both a performance of the learning agent and a range of parameters present in the synthesized data.

Abstract: A system and method are provided for registering input images to reference objects to generate output parameters. The method includes obtaining an input image and a reference object, wherein the reference object comprises a reference image or a template corresponding to a model of content in the reference image. The method also includes performing a registration of the input image by estimating a geometric transform and/or a set of non-linear transform parameters, without using predefined image features. The method also includes measuring a misalignment error between the input images and the reference object and generating a set of output parameters. The output parameters can include a set of one or more camera parameters or a set of geometric and non-linear transformation parameters.

Abstract: A system and method for calibrating and re-calibrating an imaging device. The image device includes at least one varying intrinsic or extrinsic parameter value based on a view of 3D shapes and a 2D template therefor. The method and system are operable to receive a sequence of images from the imaging device, wherein a planar surface with known geometry is observable from the sequence of images; perform an initial estimation of a set of camera parameters for a given image frame; perform a parameter adjustment operation to minimize a dissimilarity between the template and the sequence of images; perform a parameter adjustment operation to maximize similarities in either the camera's coordinate system or the template's coordinate system; and update an adaptive world template to incorporate an additional stable point from the observed images to the template.

Abstract: Method or system for reinforcement learning that simultaneously learns a DR distribution ? while optimizing an agent policy ? to maximize performance over the learned DR distribution; method or system for training a learning agent using data synthesized by a simulator based on both a performance of the learning agent and a range of parameters present in the synthesized data.

Abstract: A system and method are provided for registering input images to reference objects to generate output parameters. The method includes obtaining an input image and a reference object, wherein the reference object comprises a reference image or a template corresponding to a model of content in the reference image. The method also includes performing a registration of the input image by estimating a geometric transform and/or a set of non-linear transform parameters, without using predefined image features. The method also includes measuring a misalignment error between the input images and the reference object and generating a set of output parameters. The output parameters can include a set of one or more camera parameters or a set of geometric and non-linear transformation parameters.

Abstract: A system and method are provided for calibrating and re-calibrating an imaging device. The image device comprises at least one varying intrinsic or extrinsic parameter value based on a view of 3D shapes and a 2D template therefor. The method and system are operable to receive a sequence of images from the imaging device, wherein a planar surface with known geometry is observable from the sequence of images; perform an initial estimation of a set of camera parameters for a given image frame; perform a parameter adjustment operation to minimize a dissimilarity between the template and the sequence of images; perform a parameter adjustment operation to maximize similarities in either the camera's coordinate system or the template's coordinate system; and update an adaptive world template to incorporate an additional stable point from the observed images to the template.