An imaging device includes an optical system including a movable lens, an image capture unit configured to capture a subject image through the optical system, a sound-collecting microphone, and a control unit configured to control the optical system and the image capture unit and to receive an sound signal from the microphone. The imaging device has a first mode and a second mode as moving-image shooting modes. The control unit makes the movable lens move faster in the first mode than in the second mode when a moving image is captured. The control unit filters the sound signal with a narrower-band filter in the first mode than in the second mode.

Provided are an image composition apparatus for composing color images with black-and-white images including infrared components, and an image composition method thereof The image composition method includes generating a first image signal with color information and a second image signal including infrared components without color information, dividing the first image signal into a brightness signal and a color signal, composing the brightness signal of the first image signal with a brightness signal of the second image signal to generate a composed brightness signal, and composing the composed brightness signal with the color signal of the first image signal to generate a color image.

A mark irradiation unit (130) irradiates an object with a mark. An image capture unit (140) captures an image of the object, and generates image data. Then, an image capture area data generation unit recognizes a position of the mark in the object, and cuts out image capture area data which is a part of the image data on the basis of the mark. For this reason, the mark irradiation unit (130) irradiates the object with the mark, and thus even when a positioning symbol is not printed on the object to be stored as the image data, only a necessary portion in the image data is cut out.

Systems and methods for high dynamic range imaging using array cameras in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a method of generating a high dynamic range image using an array camera includes defining at least two subsets of active cameras, determining image capture settings for each subset of active cameras, where the image capture settings include at least two exposure settings, configuring the active cameras using the determined image capture settings for each subset, capturing image data using the active cameras, synthesizing an image for each of the at least two subset of active cameras using the captured image data, and generating a high dynamic range image using the synthesized images.

A multifunctional sky camera system and techniques for the use thereof for total sky imaging and spectral irradiance/radiance measurement are provided. In one aspect, a sky camera system is provided. The sky camera system includes an objective lens having a field of view of greater than about 170 degrees; a spatial light modulator at an image plane of the objective lens, wherein the spatial light modulator is configured to attenuate light from objects in images captured by the objective lens; a semiconductor image sensor; and one or more relay lens configured to project the images from the spatial light modulator to the semiconductor image sensor. Techniques for use of the one or more of the sky camera systems for optical flow based cloud tracking and three-dimensional cloud analysis are also provided.

An image head including a housing, side rails, a port, and internal componentry. The housing includes a first side and a second side located opposite the second side. The side rails are located on or within the first side, the second side, or both and the side rails are configured to provide sliding directional control of the image head when connecting to a base. The port is configured to electrically connect the image head to the base. The internal componentry includes a printed circuit board; an integrated lens and sensor assembly (ISLA) configured to generate an image; and memory located on the printed circuit board configured to store the image.

A projector for illuminating a target area is presented. The projector includes an array of emitters positioned on a substrate according to a distribution. Each emitter in the array of emitters has a non-circular emission area. Operation of at least a portion of the array of emitters is controlled based in part on emission instructions to emit light. The light from the projector is configured to illuminate the target area. The projector can be part of a depth camera assembly for depth sensing of a local area, or part of an eye tracker for determining a gaze direction for an eye.

Disclosed is a distortion rectification method, comprising: taking a wide-angle photograph using a camera of a terminal; determining distortion regions and non-distortion regions in the wide-angle photograph; obtaining a target distortion region selected by a user; dividing the target distortion region into M grid regions of a first pre-set size, wherein M is an integer greater than or equal to one; and respectively performing distortion rectification on the M grid regions of the first pre-set size. Also disclosed is a terminal.

The invention relates to technologies for visualizing a three-dimensional (3D) image. According to the claimed method, a 3D model is generated, images of an object are produced, a 3D model is visualized, the 3D model together with a reference pattern and also coordinates of texturing portions corresponding to polygons of the 3D model are stored in a depiction device, at least one frame of the image of the object is produced, the object in the frame is identified on the basis of the reference pattern, a matrix of conversion of photo image coordinates into dedicated coordinates is generated, elements of the 3D model are coloured in the colours of the corresponding elements of the image by generating a texture of the image sensing area using the coordinate conversion matrix and data interpolation, with subsequent designation of the texture of the 3D model.

Embodiments allow live action images from an image capture device to be composited with computer generated images in real-time or near real-time. The two types of images (live action and computer generated) are composited accurately by using a depth map. In an embodiment, the depth map includes a “depth value” for each pixel in the live action image. In an embodiment, steps of one or more of feature extraction, matching, filtering or refinement can be implemented, at least in part, with an artificial intelligence (AI) computing approach using a deep neural network with training. A combination of computer-generated (“synthetic”) and live-action (“recorded”) training data is created and used to train the network so that it can improve the accuracy or usefulness of a depth map so that compositing can be improved.