A device includes a first polarized image sensor configured to capture first image data relating to an object from a first perspective. The device also includes a second polarized image sensor configured to capture second image data relating to the object from a second perspective different from the first perspective. The device further includes a processor configured to obtain at least one of polarization information or depth information of the object based on at least one of the first image data or the second image data, and to extract a feature of the object based on the at least one of the polarization information or the depth information.

Systems and methods are provided for upsampling low temporal resolution depth maps. This upsampling is performed by obtaining a stereo pair of images of a scene captured at a first timepoint, generating a first depth map of the scene for the first timepoint by performing stereo matching on the stereo pair of images, obtaining a subsequent stereo pair of images captured at a subsequent timepoint to the first timepoint, and generating a subsequent depth map that corresponds to the subsequent timepoint by applying an edge-preserving filter using the first depth map without performing stereo matching on the subsequent stereo pair of images.

A dimensioning system that analyzes a distance map for null-data pixels to provide feedback is disclosed. Null-data pixels correspond to missing range data and having too many in a distance map may lead to dimensioning errors. Providing feedback based on the number of null-data pixels helps a user understand and adapt to different dimensioning conditions, promotes accuracy, and facilitates handheld applications.

An apparatus is described. The apparatus includes a first camera system having a processor and a memory. The first camera system includes an interface to receive images from a second camera system. The first camera system includes a processor and memory. The processor and memory are to execute image processing program code for first images that are captured by the first camera system and second images that are captured by the second camera system and that are received at the interface.

An apparatus for determining a distance to a target area includes an imaging system configured to provide at least two images of a target area. The images are associated with different imaging axes. A Lidar system including at least one laser is configured to direct an optical beam to the target and an optical detection system configured to receive a portion of the optical beam from the target area and establish a distance to the target area based on the received portion.

Disclosed is a projection image generating method for a 3D space. An exemplary embodiment of the present disclosure provides a projection image generating method, including: estimating a plurality of image obtaining poses and a plurality of depth obtaining poses including obtaining positions and obtaining angles of a plurality of obtained images and a plurality of obtained depth values obtained in an actual 3D space, respectively, with respect to a reference coordinate system; obtaining a user pose including a location and an angle of the user in a virtual 3D space corresponding to the actual 3D space with respect to the reference coordinate system; and generating a projection image obtained by projecting the plurality of obtained depth values into at least one of the plurality of obtained images, based on the corresponding image obtaining pose corresponding to the user pose and at least one corresponding depth obtaining pose.

A multi-aperture imaging system determines depth map information. A series of image frames of a scene are captured. The frames include a normal image frame and at least one structured image frame. The multi-aperture imaging system determines edge information of an object in the scene using a deblur technique and the normal image frame. The multi-aperture imaging system determines fill depth information for the object based in part on the at least one structured image frame. The multi-aperture imaging system generates a depth map of the scene using the edge depth information and the fill depth information.

A method for automatic registration of 3D image data, captured by a 3D image capture system having an RGB camera and a depth camera, includes capturing 2D image data with the RGB camera at a first pose; capturing depth data with the depth camera at the first pose; performing an initial registration of the RGB camera to the depth camera; capturing 2D image data with the RGB camera at a second pose; capturing depth data at the second pose; and calculating an updated registration of the RGB camera to the depth camera.

A method for automatic registration of 3D image data, captured by a 3D image capture system having an RGB camera and a depth camera, includes capturing 2D image data with the RGB camera at a first pose; capturing depth data with the depth camera at the first pose; performing an initial registration of the RGB camera to the depth camera; capturing 2D image data with the RGB camera at a second pose; capturing depth data at the second pose; and calculating an updated registration of the RGB camera to the depth camera.

A depth-sensing method for a time-of-flight depth camera includes irradiating a subject with pulsed light of spatially alternating bright and dark features, and receiving the pulsed light reflected back from the subject onto an array of pixels. At each pixel of the array, a signal is presented that depends on distance from the depth camera to the subject locus imaged onto that pixel. In this method, the subject is mapped based on the signal from pixels that image subject loci directly irradiated by the bright features, while omitting or weighting negatively the signal from pixels that image subject loci under the dark features.