A hand-held or otherwise portable or spatial or temporal performance-based image capture device includes one or more lenses, an aperture and a main sensor for capturing an original main image. A secondary sensor and optical system are for capturing a reference image that has temporal and spatial overlap with the original image. The device performs an image processing method including capturing the main image with the main sensor and the reference image with the secondary sensor, and utilizing information from the reference image to enhance the main image. The main and secondary sensors are contained together within a housing.

Embodiments of the present application relate to a method, apparatus, and system for detecting a specified image identifier. The method includes retrieving a target image to be detected from a predetermined area, binarizing the target image to be detected to obtain a target binary image to be detected, calibrating connected domains of the target binary image to be detected, successively retrieving image features of candidate connected domains, and comparing the image features corresponding to the candidate connected domains to image features of a standard specified identifier image, wherein the candidate connected domains are determined based at least in part on the calibration of the connected domains, and determining a candidate connected domain as the location of the specified identifier image based at least in part on the comparison of the image features corresponding to the candidate connected domains to image features of the standard specified identifier image.

An imaging system for creating an image of a target object comprising a mirror mounted on a gimbal and arranged to rotate about at least one axis, a gimbal drive unit configured to control the orientation of the gimbal, and a camera having its optical axis directed onto the mirror in order that an image reflected in the mirror is within a field of view of the camera, wherein the control unit is arranged to position the gimbal such that a reflection of a target object is within a field of view of the camera.

The present invention relates to a head device of a three-dimensional modelling equipment, and a modelling plane scanning method using the same, the head device of a three-dimensional modelling equipment comprising: a modelling light source array having a plurality of modelling light sources; a light guide part, installed at a given position above a modelling plane, having a function of reflecting modelling rays from the modelling light source array so as to be incident on the modelling plane; and a controller for controlling the operations of the modelling light source array and the light guide part in a conjoined manner, wherein a plurality of modelling rays generated from the plurality of modelling light sources are irradiated while forming one line scan having a first axial direction on the modelling plane, and the light guide part continuously or intermittently moves the one line scan on the modelling plane to irradiate the modelling light rays across the modelling plane. The present invention has the effects of enabling high-speed scanning to be performed, and modelling precision to be enhanced through precise scanning control.

A method and a device for operating a robot are provided. According to an example of the method, information of a first gesture is acquired from a group of gestures of an operator, each gesture from the group of gestures corresponding to an operation instruction from a group of operation instructions. A first operation instruction from the group of operation instructions is obtained based on the acquired information of the first gesture, the first operation corresponding to the first gesture. The first operation instruction is executed.

The present invention relates to a moving object detection method in a dynamic scene using a monocular camera, which is capable of detecting a moving object using a monocular camera installed on the moving object such as a vehicle, and warning a driver of a dangerous situation. The moving object detection method in a dynamic scene using a monocular camera can detect a moving object in a dynamic scene using the monocular camera without a stereo camera.

An object is recognized from image data as a target object and linked to a user based on an interaction by the user, information about the target object is obtained and a purchase of the target object is initiated.

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.

The various implementations described herein include methods, devices, and systems for detecting motion and persons. In one aspect, a method is performed at a smart home system that includes a video camera, a server system, and a client device. The video camera captures video and audio, and wirelessly communicates, via the server system, the captured data to the client device. The server system: (1) receives and stores the captured data from the video camera; (2) determines whether an event has occurred, including detected motion; (3) in accordance with a determination that the event has occurred, identifies video and audio corresponding to the event; and (4) classifies the event. The client device receives information indicative of the identified events, displays a user interface for reviewing the video and audio stored by the remote server system, and displays the at least one classification for the event.

A system and method that allows the capture of a series of images to create a single linear panoramic image is disclosed. The method includes capturing an image, dynamically comparing a previously captured image with a preview image on a display of a capture device until a predetermined overlap threshold is satisfied, generating a user interface to provide feedback on the display of the capture device to guide a movement of the capture device, and capturing the preview image with enough overlap with the previously captured image with little to no tilt for creating a linear panorama.