3D depth camera is a new technology emerging in recent years. Compared with the traditional camera, 3D depth camera adds a depth measurement to the function, which makes it more convenient and accurate to perceive the surrounding environment and changes.
The application of depth camera is in the fields of intelligent human-computer interaction, face technology, 3D reconstruction, robotics, AR and other fields. At present, the most mature application of commercial depth camera is a variety of interesting applications based on face technology on mobile terminals.
3D ToF camera can measure the distance directly. The figure below is a schematic diagram of the Phab2 pro mobile phone's rear 3D ToF camera measuring in three-dimensional space.
Common RGB-D cameras with rough intrinsic and extrinsic calibration data are often unable to meet the accuracy requirements required for many robotics applications. Our calibration method is based on a novel two-component measurement error model that unifies the error sources of RGB-D cameras based on different technologies, such as structured light 3D cameras and time-of-flight cameras
The accuracy of ToF sensor depends on its pulse duration. Compared with binocular vision and structured light schemes, ToF sensor accuracy does not decrease significantly with distance. d-ToF is a key technology for long-distance applications.
Face recognition is a biometric identification technology based on human facial feature information. A series of related technologies that use tof camera to collect images or video streams containing faces, and automatically detect and track faces in the images, and then perform face recognition on the detected faces, also known as portrait recognition and face recognition.
ToF camera can help robots build strong environmental perception and understanding capabilities, and can complete object recognition, detection and intelligent analysis based on RGB images or depth maps while generating depth maps. The tof camera can be customized to achieve high-performance depth map post-processing, point cloud processing, and acceleration of key functions of the VSLAM algorithm.
ToF camera can be used for environmental perception, 3D scanning, SLAM, gesture recognition, etc., to enhance the integration and interaction of virtual reality in the AR/VR field; the device in the picture can be understood as an additional structured light module for a touch screen integrated machine, which is convenient for designers to quickly Obtain 3D images and information of objects.
The 3D structured light mode includes point, line, and surface modes, which refer to the type of light projected. For example, here the phase difference between point A and point C is needed to calculate the height. How are these two points reflected in the fringe image captured by the camera?
ToF camera can directly obtain high-precision three-dimensional information of the environment, and its application is very extensive. What are the specific applications?
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