A 3D sensing module for a computing device includes a frame and a depth sensor. The module is able to detect different depths and colors of a target object. The frame includes a first side portion, a second side portion, and a cross portion. The first side portion has a first opening and the second side portion has a second opening. The depth sensor is mounted on the frame, and the depth sensor includes first and second depth cameras. The first depth camera is received in the first opening and the second depth camera is received in the second opening. The first and second depth cameras can be optically aligned before being mounted together inside the housing of the computing device to ensure a precise and durable mounting.

The present disclosure provides a control method of a camera module, a control device, a terminal, a nonvolatile computer readable storage medium and a computer device. The control method includes: obtaining a projection distance between a target user and the camera module; determining a control parameter of the camera module according to the projection distance and controlling the camera module based on the control parameter.

A control apparatus includes a processor that executes a first point cloud generation process including a first imaging process of acquiring a first image according to a first depth measuring method and a first analysis process of generating a first point cloud and a second point cloud generation process including a second imaging process of acquiring a second image according to a second depth measuring method and a second analysis process of generating a second point cloud, and detects the object using the first point cloud or the second point cloud. The first point cloud generation process completes in a shorter time than the second point cloud generation process, and the processor starts the second point cloud generation process after the first imaging process and discontinues the second point cloud generation process if the first point cloud satisfies a predetermined condition of success.

A miniaturized structured light projection module is provided. The miniaturized structured light projection module includes a light source assembly and a projecting lens. The light source assembly has a plurality of light source units, each of which is provided with a default projected pattern on its surface. The projecting lens is disposed above the light source units. The default projected patterns of the light source units are disposed on a front focal plane of the projecting lens.

A camera system includes non-volatile memory, a lens, an image sensor to capture images of a scene within view of the lens, an IR illuminator, and a processing system. The processing system transitions the camera system from day mode to night mode when the scene is dark, and in the night mode, two operations are performed. The first operation uses the IR illuminator, the image sensor, and the memory to capture a first IR image or video of the scene and store the first IR image or video in the non-volatile memory. The second operation uses the IR illuminator, the image sensor, and the memory to identify a specular surface in the scene. This includes capturing a second IR image or video, identifying a first region of low intensity pixels, and storing, in the non-volatile memory, position parameters of the first region and designating the first region as specular.

A gesture operation method based on depth values and the system thereof are revealed. A stereoscopic-image camera module acquires a first stereoscopic image. Then an algorithm is performed to judge if the first stereoscopic image includes a triggering gesture. Then the stereoscopic-image camera module acquires a second stereoscopic image. Another algorithm is performed to judge if the second stereoscopic image includes a command gesture for performing the corresponding operation of the command gesture.

A method for generating a 3D combined model that represents a scene includes acquiring the coordinates in an external geodetic frame, acquiring at least one 3D primary model representing the scene, which model includes primary model elements, oriented in the geodetic frame. The primary model elements are assigned measured primary physical property values in the form of coordinates in a local three-dimensional coordinate system of the corresponding point. The method further includes generating a 3D secondary model representing the scene, wherein at least some secondary model elements are assigned coordinates in the local coordinate system and at least one secondary physical property value. At least some secondary model elements are assigned coordinates in the external geodetic frame. The primary and at least one secondary model are then combined. Also disclosed are a related system and reference members for use in the system.

Disclosed herein is a display device including an illumination source for projecting an illumination pattern including a plurality of illumination features on a scene; an optical sensor for determining a first image including a plurality of reflection features; a translucent display, where the illumination source and the optical sensor are placed in a direction of propagation of the illumination pattern in front of the display; and an evaluation device configured for evaluating the first image by identifying and sorting the reflection features with respect to brightness, each reflection feature including a beam profile, determining a longitudinal coordinate for each reflection feature by analyzing their beam profiles, unambiguously matching reflection features with corresponding illumination features using the longitudinal coordinate classifying a reflection feature as a real feature or a false feature, rejecting the false features, and generating a depth map for the real features using the longitudinal coordinate.

The application provides a liveness detection method capable of implementing liveness detection, and a liveness detection system that employs the liveness detection method. The liveness detection method comprises: irradiating an object to be detected with structured light; obtaining first facial image data of the object to be detected under irradiation of the structured light; determining, based on the first facial image data, a detection parameter that indicates a sub-surface scattering intensity of the structured light on a face of the object to be detected; and determining, based on the detection parameter and a predetermined parameter threshold, whether the object to be detected is a living body.

A three-dimensional (3D) image recognition system includes a first imaging sensor capable of collecting a first wavelength range of light and a second imaging sensor capable of collecting a second wavelength range of light. The first imaging sensor and the second imaging sensor are placed apart. The 3D image recognition system also includes a processor configured to identify at least one landmark area of a first image of an object collected by the first imaging sensor, and identify at least one matching landmark area in a second image of the object collected by the second imaging sensor. The processor is further configured to extract the 3D information of the object from the at least one landmark area of the images collected.