A multiview camera array and multiview system employ camera sub-arrays having at least one camera in common to capture a multiview image of a scene for display on a multiview display. The multiview camera array includes a first sub-array of cameras and a second sub-array of cameras. Cameras of the first and second camera sub-arrays are spaced apart from one another by a first baseline distance and a second baseline distance, respectively. The multiview system further includes a multiview display configured to display the multiview image. A method of capturing a multiview image includes capturing a first plurality of different views of the scene with the first sub-array of cameras and capturing a second plurality of different views of the scene using the second sub-array of cameras.

A camera system includes a plurality of cameras configured to capture images in different directions. The camera system rotates the plurality of cameras in a predetermined direction. The plurality of cameras are configured such that, even during rotation, one of the cameras captures an image of a preset specific region. The camera system acquires parallax information regarding an object present in the specific region on the basis of a plurality of captured images of the specific region.

Camera compensation methods and systems that compensate for misalignment of sensors/camera in stereoscopic camera systems. The compensation includes identifying a pitch angle offset between a first camera and a second camera, determining misalignment of the first and second cameras from the identified pitch angle offset, determining a relative compensation delay responsive to the determined misalignment, introducing the relative compensation delay to image streams produced by the cameras, and producing a stereoscopic image on a display from the first and second image streams with the introduced delay.

A structured-light pattern for a structured-light system includes a base light pattern having a row of a plurality of sub-patterns extending in a first direction. Each sub-pattern is adjacent to at least one other sub-pattern. Each sub-pattern is different from each other sub-pattern. Each sub-pattern includes n dots in a sub-row and n dots in a sub-column in which n is an integer. Each dot is substantially a same size. Each sub-row extends in the first direction, and each sub-column extends in a second direction that is substantially orthogonal to the first direction. The dots that are aligned in a sub-column are offset in the second direction from the dots of the base light pattern that are aligned in an adjacent sub-column. In one embodiment, a size of each sub-pattern in the second direction is larger than a size of each sub-pattern in the first direction by a stretching factor.

A structured-light pattern for a structured-light system includes a base light pattern having a row of a plurality of sub-patterns extending in a first direction. Each sub-pattern is adjacent to at least one other sub-pattern. Each sub-pattern is different from each other sub-pattern. Each sub-pattern includes n dots in a sub-row and n dots in a sub-column in which n is an integer. Each dot is substantially a same size. Each sub-row extends in the first direction, and each sub-column extends in a second direction that is substantially orthogonal to the first direction. The dots that are aligned in a sub-column are offset in the second direction from the dots of the base light pattern that are aligned in an adjacent sub-column. In one embodiment, a size of each sub-pattern in the second direction is larger than a size of each sub-pattern in the first direction by a stretching factor.

This disclosure contains methods and systems that allow filmmakers to port filmmaking and editing skills to produce content to be used in other environments, such as video game environments, and augmented reality, virtual reality, mixed reality, and non-linear storytelling environments.

Methods, systems, and techniques for monitoring an object-of-interest within a region involve receiving at least data from two sources monitoring a region and correlating that data to determine that an object-of-interest depicted or represented in data from one of the sources is the same object-of-interest depicted or represented in data from the other source. Metadata identifying that the object-of-interest from the two sources is the same object-of-interest is then stored for later use in, for example, object tracking.

Methods, systems, and techniques for tagless tracking of an object-of-interest are disclosed. Image and non-image data are generated across a plurality of camera-specific regions, and the object-of-interest is tracked over a global map formed as a composite of these regions.

A system for obtaining a multispectral image of a scene includes a first light source, a second light source, at least one imaging sensor, and a controller. The first light source emits light in a first wavelength range. The second light source emits light in a second wavelength range. The at least one imaging sensor senses light in the first wavelength range reflected off of the scene during a first illumination sensing period and senses light in the second wavelength range reflected off of the scene during a second illumination sensing period. The controller is electrically coupled to the at least one imaging sensor. The controller interprets signals received from the at least one imaging sensor as imaging data, stores the imaging data, and analyzes the imaging data with regard to multiple dimensions. The first illumination sensing period and the second illumination sensing period are discrete time periods.

This application provides an image processing method, including: after binocular image data of a photographing scene that is generated by dual cameras is obtained, determining binocular depth data by using the binocular image data, to determine an error region in an image, correcting depths of the error region based on time of flight (TOF) data corresponding to the scene, and finally performing blurring processing on monocular image data in the binocular image data by using corrected binocular depth data. Because TOF is considered when the depths of the error region are corrected, the method can effectively avoid a depth estimation error caused by relatively poor precision and stability of a binocular depth estimation manner, so that depth estimation precision and stability are improved.