Systems and methods for determining disparity between two images are disclosed. Such systems and methods include obtaining a first pixel image of a scene from a first viewpoint, obtaining a second pixel image of the scene from a second viewpoint (e.g., separate from the first viewpoint in a camera baseline direction such as horizontal or vertical), modifying the first and second pixel images using component-separated correction to create respective first and second corrected pixel images maintaining pixel scene correspondence in the camera baseline direction from between the first and second pixel images to between the first and second corrected pixel images, determining pixel pairs from corresponding pixels between the first and second corrected pixel images in the camera baseline direction, and determining disparity correspondence for each of the determined pixel pairs from pixel locations in the first and second pixel images corresponding to respective pixel locations of the pixel pairs in the first and second corrected pixel images.

Techniques for aligning images generated by an integrated camera physically mounted to an HMD with images generated by a detached camera physically unmounted from the HMD are disclosed. A 3D feature map is generated and shared with the detached camera. Both the integrated camera and the detached camera use the 3D feature map to relocalize themselves and to determine their respective 6 DOF poses. The HMD receives the detached camera's image of the environment and the 6 DOF pose of the detached camera. A depth map of the environment is accessed. An overlaid image is generated by reprojecting a perspective of the detached camera's image to align with a perspective of the integrated camera and by overlaying the reprojected detached camera's image onto the integrated camera's image.

An eye positioning apparatus is provided, comprising: an eye positioner, comprising a first black-and-white camera configured to shoot first black-and-white images and a second black-and-white camera configured to shoot second black-and-white images; and an eye positioning image processor, configured to identify presence of eyes based on at least one of the first black-and-white images and the second black-and-white images and determine eye space positions based on the eyes identified in the first black-and-white images and the second black-and-white images. The apparatus can determine the eye space positions of a user at high accuracy, thereby improving 3D display quality. An eye positioning method, a 3D display device and method, a computer-readable storage medium, and a computer program product are also provided.

A long-baseline and long depth-range stereo vision system is provided that is suitable for use in non-rigid assemblies where relative motion between two or more cameras of the system does not degrade estimates of a depth map. The stereo vision system may include a processor that tracks camera parameters as a function of time to rectify images from the cameras even during fast and slow perturbations to camera positions. Factory calibration of the system is not needed, and manual calibration during regular operation is not needed, thus simplifying manufacturing of the system.

The present disclosure relates to navigation and to systems and methods for using a dual sensor readout channel to allow for frequency detection. In one implementation, at least one processing device may receive a plurality of images acquired by a camera onboard a host vehicle, wherein the plurality of images are received via a first channel and via a second channel, and wherein the first channel is associated with a first frame capture rate, and the second channel is associated with a second frame capture rate different from the first frame capture rate. The processing device may use images received via the first channel to detect flickering and non-flickering light sources in an environment of the host vehicle; and provide, based on images received via the second channel, images for showing on one or more human-viewable displays.

A method of capturing free viewpoint content at a location includes recording video on each of a plurality of portable video recording devices at the location; each portable video recording device detecting a wireless synchronisation signal transmitted at the location; and each portable video recording device periodically adding a timestamp to its respective recorded video; where the timestamp is responsive to the detected wireless synchronisation signal, thereby enabling synchronisation of a plurality of recorded videos responsive to the timestamps.

A camera module according to one embodiment of the present invention comprises: an illumination unit for outputting a signal of incident light irradiated to an object; a lens unit for collecting a signal of reflection light reflected from the object, an image sensor unit for generating an electric signal from a reflection light signal collected by the lens unit, a tilting unit for shifting an optical path of the reflection light signal, and an image control unit for extracting a depth map of the object by using a phase difference between the incident light signal with respect to a frame having shifted by the tilting unit and the reflection light signal received by the image sensor unit, wherein the lens unit is disposed on the image sensor unit and includes an infrared (IR) filter disposed on the image sensor unit and at least one lens disposed on the infrared filter, and the tilting unit controls tilt of the infrared filter.

In one embodiment, a method includes accessing first image data generated by a first image sensor having a first filter array that has a first filter pattern. The first filter pattern includes a number of first filter types. The method also includes accessing second image data generated by a second image sensor having a second filter array that has a second filter pattern different from the first filter pattern. The second filter pattern includes a number of second filter types, the number of second filter types and the number of first filter types have at least one filter type in common. The method also includes determining a correspondence between one or more first pixels of the first image data and one or more second pixels of the second image data based on a portion of the first image data associated with the filter type in common.

A composition and process for making pet food treats is described herein. Auxiliary ingredients are combined to form a meat mixture. The meat mixture is formed into portions. The portions of meat mixture are positioned on a chew stick that comprises rawhide. The pet treat gives the appearance of a grilled shish kabob, where the meat portions are meant for initial taste, while the chew stick will provide the dog with a longer-lasting chewing portion.

A stereoscopic image generation box, a stereoscopic image display method and a stereoscopic image display system are provided. The stereoscopic image generation box includes an image receiving and detecting unit, a depth information analysis unit, an image processing unit, a synthesis unit and a data transmission unit. The image receiving and detecting unit is used for receiving a two-dimensional image from an image source. The depth information analysis unit is used for obtaining a depth information according to the two-dimensional image. The image processing unit is used for converting the two-dimensional image into a left-eye image and a right-eye image according to the depth information. The synthesizing unit is used for synthesizing the left-eye image and the right-eye image to generate a stereoscopic image. The data transmission unit is used for outputting the stereoscopic image to a display, so that the display can directly display the stereoscopic image.