Abstract: A wearable heads-up display has stored therein two or more distortion models for use in generating distorted source images that when projected by the wearable heads-up display into a target eye space form virtual images are aligned in the target eye space. A method and system for determining the distortion models are disclosed.

Abstract: A wearable heads-up display has stored therein two or more distortion models for use in generating distorted source images that when projected by the wearable heads-up display into a target eye space form virtual images are aligned in the target eye space. A method and system for determining the distortion models are disclosed.

Abstract: A wearable heads-up display has stored therein two or more distortion models for use in generating distorted source images that when projected by the wearable heads-up display into a target eye space form virtual images are aligned in the target eye space. A method and system for determining the distortion models are disclosed.

Abstract: A wearable heads-up display has stored therein two or more distortion models for use in generating distorted source images that when projected by the wearable heads-up display into a target eye space form virtual images are aligned in the target eye space. A method and system for determining the distortion models are disclosed.

Abstract: A system and method for digital black level blending is provided.

Abstract: A system, method and computer readable medium for projecting images on a marked surface. The system includes a memory storage unit, a projector, a camera, an input device for receiving input data to align correspondence points in a template image with features on a marked surface, a computing device for calculating a correction model, and a rendering device for generating image data. The method involves projecting a template image to generate a camera image, receiving input data, calculating a correction model based on the input data and generating and projecting image data. The computer readable medium is encoded with codes to direct a processor to carry out the method.

Abstract: A method, system, and a computer readable medium for screen correction is provided. The system includes a memory storage unit for storing model content, a screen having screen parameters, an input device for receiving the screen parameters, a correction engine, and a projector. The method involves storing model content on a memory storage unit, receiving screen parameters, generating screen content, and projection at least a portion of the screen content onto the screen. The computer readable medium encoded with codes for directing a processor to carry out the method.

Abstract: A system and method for digital black level blending is provided. The system comprises: projectors located to project respective images, onto a screen, that overlap in one or more overlap regions; at least one camera; and a computing device configured to, for each given projector: determine, using the at least one camera, respective correspondences between projected points of a given image, projected onto the screen by the given projector, and respective points of respective image modulators of other projectors of the projectors, the respective correspondences representing the respective points of the respective image modulators of the other projectors that correspond to overlap regions; determine respective brightness of the overlap regions; and, control pixels of an image modulator of the projector, and each of the respective image modulators, at least adjacent edge pixels corresponding to edges of overlap regions, to increase brightness in corresponding image regions using the respective brightness.

Abstract: A system, method and computer readable medium for projecting images on a marked surface. The system includes a memory storage unit, a projector, a camera, an input device for receiving input data to align correspondence points in a template image with features on a marked surface, a computing device for calculating a correction model, and a rendering device for generating image data. The method involves projecting a template image to generate a camera image, receiving input data, calculating a correction model based on the input data and generating and projecting image data. The computer readable medium is encoded with codes to direct a processor to carry out the method.

Abstract: A method, system, and a computer readable medium for screen correction is provided. The system includes a memory storage unit for storing model content, a screen having screen parameters, an input device for receiving the screen parameters, a correction engine, and a projector. The method involves storing model content on a memory storage unit, receiving screen parameters, generating screen content, and projection at least a portion of the screen content onto the screen. The computer readable medium encoded with codes for directing a processor to carry out the method.

Abstract: A system and method for digital black level blending is provided.

Abstract: A system and method for aligning stacked projectors is provided. A computing device is in communication with at least two projectors, configured to project images stacked onto each other, and at least one sensor configured to acquire respective images the projector images. Respective initial positions in a common space are determined of each of the projector images, from the sensor images, as well as a virtual projector image located at a common target position. Respective transforms for each of the projector images to one or more of shift and transform the projector images to the common target position of the virtual projector image. The respective transforms are applied to further first projector images to produce respective transformed projector images. The projectors are controlled to project the respective transformed projector images according to the common target position.

Abstract: A system and method for advanced lens geometry fitting is provided for projecting images using a projector with a non-planar lens. An initial estimate of intrinsic parameters of the projector can be determined, for example from a list; an initial estimate of extrinsic parameters of the projector can be determined based on the initial estimate of intrinsic parameters. The intrinsic parameters and extrinsic parameters can be optimized together by starting with a simple lens model and iteratively adding nonlinear terms, an error function evaluated at each iteration, for example for each set of intrinsic parameters in the list and the corresponding extrinsic parameters. As the values of the error function converges the optimized intrinsic parameters and the optimized extrinsic parameters can be used to generate images that are projected by the projector.