A method with algorithm updating includes: receiving a first input batch including one or more first images; generating a first output batch with respect to the first input batch using an algorithm configured to generate a disparity image, the first output batch including one or more first output images; receiving a second input batch corresponding to the first input batch, the second input batch including one or more second images having viewpoints that are different from viewpoints of the one or more first images; generating a test batch based on the first output batch and the second input batch, the test batch including one or more test images; and updating the algorithm based on a difference between the first input batch and the test batch.

Some embodiments of an apparatus may include: a tracking module configured to track viewer movement adjustments; and a light field image display structure configured to display a light field image using the viewer movement adjustments. Some embodiments of a method may include: projecting a beam spot on a viewer of a light field display; determining an estimated location of the beam spot reflected off the viewer; detecting an actual location of the beam spot reflected off the viewer; and determining image correction parameters based on a comparison of the estimated location and the actual location of the beam spot reflected off the viewer.

A vehicle head-up display device may include a plurality of first image generation parts embedded in a vehicle body, and configured to provide flat and stereoscopic images in multiple directions, a first optical induction part configured to guide an image signal, provided by the first image generation parts, in one direction, and a first display part configured to implement the image signal, provided by the first optical induction part, as an image recognizable by a driver, thereby implementing augmented reality of a head-up display.

A vehicle head-up display device may include a plurality of first image generation parts embedded in a vehicle body, and configured to provide flat and stereoscopic images in multiple directions, a first optical induction part configured to guide an image signal, provided by the first image generation parts, in one direction, and a first display part configured to implement the image signal, provided by the first optical induction part, as an image recognizable by a driver, thereby implementing augmented reality of a head-up display.

Calibration in the field is described for stereo and other depth camera configurations using a projector One example includes imaging the first and the second feature in a first camera of the camera system wherein the distance from the first camera to the projector is known, imaging the first and the second feature in a second camera of the camera system, wherein the distance from the second camera to the projector is known, determining a first disparity between the first camera and the second camera to the first feature, determining a second disparity between the first camera and the second camera to the second feature, and determining an epipolar alignment error of the first camera using the first and the second disparities.

Disclosed are an augmented reality method and device for simulating a wireless signal. The method includes: capturing an environment, and forming a three-dimensional virtual representation of the environment; determining a parameter related to a virtual wireless device, the virtual wireless device being a virtual wireless signal source or a reflector; positioning the virtual wireless device in the environment, and simulating virtual wireless signal coverage in the three-dimensional virtual representation of the environment according to the positioning, the parameter, and the three-dimensional virtual representation of the environment; and adding, to the environment, a marker representing the virtual wireless signal coverage to serve as an augmented reality image for display. A wireless signal emission is simulated in combination with an augmented reality technology, so that a user having no professional knowledge of a wireless technology can accurately and quickly estimate behaviors of a wireless system at each position of a desired space.

A method for encoding images includes decoding a first encoded image to obtain a first decoded image, where the first decoded image includes a first decoded portion corresponding to a first encoded portion of the first encoded image and a second decoded portion corresponding to a second encoded portion of the first encoded image; decoding a second encoded image to obtain a second decoded image; combining the first decoded image and the second decoded image to obtain a single decoded image; and encoding the single decoded image to obtain a single encoded image that includes a third and a fourth encoded portions. Encoding the single decoded image includes obtaining the third encoded portion of the single encoded image by copying the first encoded portion of the first encoded image; and obtaining the fourth encoded portion of the single encoded image by encoding the second decoded portion using an encoder.

A method for encoding images includes decoding a first encoded image to obtain a first decoded image, where the first decoded image includes a first decoded portion corresponding to a first encoded portion of the first encoded image and a second decoded portion corresponding to a second encoded portion of the first encoded image; decoding a second encoded image to obtain a second decoded image; combining the first decoded image and the second decoded image to obtain a single decoded image; and encoding the single decoded image to obtain a single encoded image that includes a third and a fourth encoded portions. Encoding the single decoded image includes obtaining the third encoded portion of the single encoded image by copying the first encoded portion of the first encoded image; and obtaining the fourth encoded portion of the single encoded image by encoding the second decoded portion using an encoder.

System, methods, and other embodiments described herein relate to improving depth estimates for monocular images using a neural camera model that is independent of a camera type. In one embodiment, a method includes receiving a monocular image from a pair of training images derived from a monocular video. The method includes generating, using a ray surface network, a ray surface that approximates an image character of the monocular image as produced by a camera having the camera type. The method includes creating a synthesized image according to at least the ray surface and a depth map associated with the monocular image.

Embodiments disclose a real-time surgery method and apparatus for displaying a stereoscopic augmented view of a patient from a static or dynamic viewpoint of the surgeon, which employs real-time three-dimensional surface reconstruction for preoperative and intraoperative image registration. Stereoscopic cameras provide real-time images of the scene including the patient. A stereoscopic video display is used by the surgeon, who sees a graphical representation of the preoperative or intraoperative images blended with the video images in a stereoscopic manner through a see-through display.