A depth map generation device for merging multiple depth maps includes at least three image capturers, a depth map generator, and a mixer. The at least three image capturers form at least two image capture pairs. The depth map generator is coupled to the at least three image capturers for generating a depth map corresponding to each image capturer pair of the at least two image capture pairs according to an image pair captured by the each image capturer. The mixer is coupled to the depth map generator for merging at least two depth maps corresponding to the at least two image capturer pairs to generate a final depth map, wherein the at least two depth maps have different characteristics.

An image device includes a first image capture module, a second image capture module, and an image processor. The first image capture module has a first field of view, and the second image capture module has a second field of view different from the first field of view. The image processor is coupled to the first image capture module and the second image capture module. The image processor sets a virtual optical center according to the first image capture module, the second image capture module, and a target visual scope, and generates a display image corresponding to the virtual optical center.

A method for estimating depth of a scene includes selecting an image of the scene from a sequence of images of the scene captured via an in-vehicle sensor of a first agent. The method also includes identifying previously captured images of the scene. The method further includes selecting a set of images from the previously captured images based on each image of the set of images satisfying depth criteria. The method still further includes estimating the depth of the scene based on the selected image and the selected set of images.

An image processing device includes: a first generating unit configured to generate, based on a distance image generated from a plurality of taken images imaged by a plurality of imaging units in a travelling direction, and made from distance values corresponding to the travelling direction, a first image indicating a frequency distribution associating actual distances in a direction orthogonal to the travelling direction with the distance values; a second generating unit configured to generate, based on the distance image, a second image indicating a frequency distribution associating a horizontal direction of the distance image with the distance values; a first processing unit configured to detect a face of an object represented by the first image, using at least the first image; and a second processing unit configured to identify a type of the face of the object using at least the second image.

The present disclosure relates to an electronic device for capturing a plurality of images using a plurality of cameras, generating a left-eye-view spherical image and a right-eye-view spherical image by classifying each of the plurality of images as a left-eye-view image or a right-eye-view image, obtaining depth information using the generated left-eye-view spherical image and right-eye-view spherical image, and generating a 360 degree three-dimensional image, wherein the three-dimensional effect thereof is controlled using the obtained depth information, and an image processing method therefor.

A method and apparatus for sorting is described, and which includes providing a product stream formed of individual objects of interest having feature aspects which can be detected; generating multiple images of each of the respective objects of interest; classifying the feature aspects of the objects of interest; identifying complementary images by analyzing some of the multiplicity of images; fusing the complementary images to form an aggregated region representation of the complementary images; and sorting the respective objects of interest based at least in part upon the aggregated region representation which is formed.

Systems and methods in accordance with embodiments of the invention are configured to decode images containing an image of a scene and a corresponding depth map. A depth-based effect is applied to the image to generate a synthetic image of the scene. The synthetic image can be encoded into a new image file that contains metadata associated with the depth-based effect. In many embodiments, the original decoded image has a different depth-based effect applied to it with respect to the synthetic image.

A method of determining a depth of a hole milled into a first region of a sample, comprising: positioning the sample in a processing chamber having a charged particle beam column; milling a hole in the first region of the sample using a charged particle beam generated by the charged particle beam column; identifying a first registration mark at an upper level of the milled hole; identifying a second registration mark at a lower level of the milled hole; taking a first set of images at a first tilt angle, the first set of images including a first image taken with a field of view that captures the first registration mark but not the second registration mark, and a second image taken with a field of view that captures the second registration mark but not the first registration mark; taking a second set of images at a second tilt angle, different than the first tilt angle, the second set of images including a third image taken with a field of view that captures the first registration mark but not the second registration mark, and a fourth image taken with a field of view that captures the second registration mark but not the first registration mark; using stereoscopic measurement techniques to determine the depth of the hole based on the first and second sets of images.

A tracking system for tracking water-surface objects includes a stereo camera on a hull, at least one memory, and at least one processor coupled to the at least one memory. The at least one processor is configured or programmed to detect at least one object based on a first image and a second image captured by a first imaging unit and a second imaging unit of the stereo camera, and set one detected object as a tracking target in a third image captured by the first imaging unit, the second imaging unit or another imaging unit. The at least one processor is further configured or programmed to track the tracking target using a temporal change in a feature of the tracking target, and use at least one object detected based on the first image and the second image during tracking to correct the tracking result.

Disclosed herein are methods, systems, and computer-readable storage media for generating three-dimensional (3D) images of a scene. According to an aspect, a method includes capturing a real-time image and a first still image of a scene. Further, the method includes displaying the real-time image of the scene on a display. The method also includes determining one or more properties of the captured images. The method also includes calculating an offset in a real-time display of the scene to indicate a target camera positional offset with respect to the first still image. Further, the method includes determining that a capture device is in a position of the target camera positional offset. The method also includes capturing a second still image. Further, the method includes correcting the captured first and second still images. The method also includes generating the three-dimensional image based on the corrected first and second still images.