Hangzhou Hikvision Digital Technology Co., Ltd.

Hui Mao

Shiliang Pu

Hai Yu

Linjie Shen

Jingxiong Wang

Kui Zhang

Jie Li

Chao Wang

Li Jiang

Hong Cai

Xunlong Xia

Yangqin Li

Cheng Qin

Jiajun Shen

Xing Su

Chao Yu

Provided is an augmented reality device. The augmented reality device includes a first projection assembly and a first display assembly. The first display assembly is disposed on a light exit side of the first projection assembly. The first projection assembly includes a first scanner, a first laser, and a first lens group. The first display assembly includes a first holographic diffraction grating and a first lens. An exposure device is also provided.

Augmented reality device and exposure device

An anti-counterfeiting face detection method, device and multi-lens camera are disclosed. The anti-counterfeiting face detection method comprises: acquiring a depth image, an infrared image and an RGB image by using a TOF camera and an RGB camera; analyzing the RGB image through a preset face detection algorithm to determine an RGB face region of a face in the RGB image and position information of the RGB face region; determining a depth face region of the face in the depth image and an infrared face region of the face in the infrared image based on the position information of the RGB face region; determining that the face passes the detection when the depth face region, the infrared face region and the RGB face region meet corresponding preset rules respectively.

Anti-counterfeiting face detection method, device and multi-lens camera

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Storage rack

A depth measuring method and system applicable to a first binocular camera having a zoom lens is provided. The method includes: obtaining a current depth of a target object (S); determining a focus with which the current depth is measured as a current focus (S); determining, according to the preset correspondence between depth ranges and focuses, a current reference focus corresponding to a current reference depth range; wherein, the current reference depth range is a depth range in which the current depth falls (S); determining whether the current focus is the same as the current reference focus; (S); if the current focus is the same as the current reference focus, determining the current depth as the target depth of the target object (S); or if the current focus is not the same as the current reference focus, adjusting the current focus to the current reference focus, measuring a current depth of the target object with the adjusted current focus (S), and proceeding to the operation (S) of determining, according to preset correspondence between depth ranges and focuses, a current reference focus corresponding to a current reference depth range. An object in various depth ranges is measured with a varying focus. The accuracy of the depth measurement of the target object is thus improved.

Depth measuring method and system

Embodiments of the present application provide a method, apparatus, device and system for calibrating parameters of a camera. In this solution, a camera performs image capturing on multiple checkerboard targets to obtain a calibration image, in other words, the calibration image contains multiple checkerboards, and the camera parameters are solved based on the calibration image containing the multiple checkerboards. In a first aspect, the calibration image contains multiple checkerboards, so that it is not necessary to adjust the position or posture of a checkerboard target for multiple times and to capture a calibration image with respect to the checkerboard target for multiple times, thereby improving the calibration efficiency. In a second aspect, the fact of capturing a calibration image with respect to the checkerboard target for multiple times results in a relatively large error for capturing, while this error for capturing is reduced by applying this solution.

Camera parameter calibration method, device, apparatus, and system

A method and apparatus for constructing a 3D scene model are provided. The method includes: acquiring a first point cloud corresponding to a current target scene (S); determining a first partial point cloud corresponding to a dynamic object from the first point cloud (S); constructing a foreground 3D model based on the first partial point cloud (S); and superimposing the foreground 3D model with a background 3D model to obtain a current 3D scene model (S). As can be seen, it is not necessary to fuse each pixel acquired by each depth camera. Instead, the dynamic object is determined in the point cloud acquired by the depth camera. Only the foreground 3D model corresponding to the dynamic object is superimposed with the background 3D model corresponding to the static objects obtained in advance. This reduces the amount of computation to build a 3D scene model.

Method and device for constructing 3D scene model

The present application discloses a method and a device for image stitching. The method includes: obtaining a first image acquired by a first camera and a second image acquired by a second camera, wherein the first image is an image with visible light information, the second image is an image including depth information and visible light information, the first camera and the second camera are disposed adjacent to each other, and there is an overlapping area between the acquired first image and second image; mapping pixels in the second image to the overlapping area and/or an extended area, wherein the extended area is an image area formed by pixels in the second image which are mapped to the outside of the first image; stitching the mapped pixels in the second image to the overlapping area and/or the extended area based on depth information and visible light information of the pixels in the second image to obtain a stitched image. The present application solves the technical problem of a low stitching efficiency in the image stitching process in the prior art.

Method and device for image stitching

A method for obtaining a combined depth map, and a depth camera. The method is applicable to a processor in the depth camera. The depth camera includes the processor, at least one light emitting element, and at least two time-of-flight (ToF) sensors, and the composite irradiation range of the at least one light emitting element convers the composite field of view of the at least two ToF sensors. The light emitting elements in the depth camera modulate light signals with the same modulation signal and then transmit the modulated light signals; the ToF sensors demodulate, by using same demodulation signal corresponding to the modulation signal, the received modulated light signal reflected back by an object, so as to generate depth data; and the processor performs data fusion processing on all the received depth data, so as to obtain a combined depth map. By applying the technical solutions provided in the embodiments of the present application, the application requirements of the depth map of the large field of view can be satisfied, and the problem of mutual interference due to asynchronization of modulation and demodulation can be avoided.

Method for obtaining combined depth image, and depth camera

Embodiments of the present application disclose a method and a device for synthesizing depth images, which relate to the technical field of image processing. The method includes: obtaining depth images to be synthesized, which are shot by real depth cameras respectively, wherein y-axes of respective camera coordinate systems of the real depth cameras are parallel to each other; calculating a mapping pixel point in a camera coordinate system corresponding to a virtual depth camera for each of pixel points in the depth images to be synthesized, according to pre-obtained pixel point mapping relationship, wherein camera parameters of the virtual depth camera are determined according to camera parameters of the real depth cameras, a lens optical center of the virtual depth camera is located in a connecting line of lens optical centers of the real depth cameras, an x-axis of the camera coordinate system corresponding to the virtual depth camera is parallel to the connecting line of lens optical centers of the real depth cameras; and generating a target synthesized depth image corresponding to the depth images to be synthesized, according to calculated mapping pixel points. By applying the solutions provided by the embodiments of the present application, a depth image with a large field of view can be obtained by image synthesis.

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Zhejiang, China

Hui Mao