The invention relates to a camera modeling and calibration system and method using a new set of variables to compensate for imperfections in line of sight axis squareness with camera plane and which increases accuracy in measuring distortion introduced by image curvature caused by geometric and chromatic lens distortion and wherein the camera image plane is represented from a full 3D perspective projection.

A system for generating holographic images or videos comprising a camera array, a plurality of processors, and a central computing system. A method for generating holographic images can include receiving a set of images and processing the images.

Embodiments are directed towards providing a smart sign that dynamically translates content that is displayed on the sign based on a preferred language of mobile devices that are in close proximity to the sign. The smart sign determines when one or more mobile devices are in proximity to the smart sign. The smart sign communicates with each of these mobile devices to determine a preferred language of a respective user of each mobile device. The smart sign translates and displays the content in each of the preferred languages on the sign. In various embodiments, the smart sign can relocate or resize the translated content so that it can fit on a display screen of the smart sign relative to a location of the mobile devices relative to the smart sign.

Fill techniques as implemented by a computing device are described to perform hole filling of a digital image. In one example, deeply learned features of a digital image using machine learning are used by a computing device as a basis to search a digital image repository to locate the guidance digital image. Once located, machine learning techniques are then used to align the guidance digital image with the hole to be filled in the digital image. Once aligned, the guidance digital image is then used to guide generation of fill for the hole in the digital image. Machine learning techniques are used to determine which parts of the guidance digital image are to be blended to fill the hole in the digital image and which parts of the hole are to receive new content that is synthesized by the computing device.

A method of plane tracking comprising: capturing by a camera a reference frame of a given plane from a first angle; capturing by the camera a destination frame of the given plane from a second angle different than the first angle; defining coordinates of matching points in the reference frame and the destination frame; calculating, using the first and second angles, first and second respective rotation transformations to a simulated plane parallel to the given plane; applying an affine transformation between the reference frame coordinate on the simulated plane and the destination frame coordinate on the simulated plane; and applying a projective transformation on the simulated plane destination frame coordinate to calculate the destination frame coordinate.

Surgical instruments and methods for performing an osteotomy are disclosed herein. A surgical instrument includes a body with a distal end, a proximal end, a first surface, and a second surface. The surgical instrument can include cutting burrs positioned on the first surface and/or the second surface. The surgical instrument can also include cutting burrs positioned on the first surface and cutting blades positioned on the second surface.

Techniques presented herein describe rotating text content rendered on a mobile device to a preferred orientation based on the mobile device orientation and language of the text content. A display tool executing on the mobile device detects an orientation of the mobile device changing from a first orientation to a second orientation. The mobile device currently displays the characters in the text content according to the first orientation. The display tool determines that the text content is written in a specified language. The display tool re-renders the display of the characters in the text content and any accompanying images according to the second orientation.

The present disclosure provides an image recognition method and apparatus, a device and a non-volatile computer storage medium. In embodiments of the present disclosure, it is feasible to obtain the to-be-recognized image of a designated size, extract the different-area image from the to-be-recognized image, and obtain the image feature of the different-area image according to the different-area image, so as to obtain the recognition result of the to-be-recognized image, according to the image feature of the different-area image and a preset template feature. In this way, recognition processing can be performed for images in a limited number of classes without employing the deep learning method based on hundreds of thousands of even millions of training samples.

A method of generating and modifying a 2D image of a 3D scene the method including the steps: processing an image of a 3D scene to generate a set of data points representative of the 3D scene and 3D objects within the scene; retrieving one or more data points from the set of data; transforming the one or more data points according to one or more mathematical conversion functions, including; a function defining a projection trajectory for each data point; a function defining a geometry of a projection surface for each data point; a function defining a projection volume for each data point; a function defining an angle of projection of each data point with respect to a convergence point on a projection surface; a function defining the size to distance ratio of each data point from a projection surface; generating a transformed set of data points; projecting the transformed set of data points representative of a modified 2D image of the 3D scene; and, rendering the projected transformed set of data points into a 2D image on a display.

Methods for generating and displaying images associated with one or more virtual objects within an augmented reality environment at a frame rate that is greater than a rendering frame rate are described. The rendering frame rate may correspond with the minimum time to render images associated with a pose of a head-mounted display device (HMD). In some embodiments, the HMD may determine a predicted pose associated with a future position and orientation of the HMD, generate a pre-rendered image based on the predicted pose, determine an updated pose associated with the HMD subsequent to generating the pre-rendered image, generate an updated image based on the updated pose and the pre-rendered image, and display the updated image on the HMD. The updated image may be generated via a homographic transformation and/or a pixel offset adjustment of the pre-rendered image by circuitry within the display.