Abstract: The present inventive concept provides a state of charge value estimation method for a lithium battery, including determining an estimated state of charge value by using an ampere-hour integral method; and when estimating that the lithium battery enters a low-current charging mode, determining a reference cell voltage value corresponding to the estimated state of charge value according to a look-up table, and comparing the reference cell voltage value and a measured real-time cell voltage value to determine a calibrated state of charge value. The state of charge value estimation method for a lithium battery of the present inventive concept is simple in operation and high in accuracy.

Abstract: Disclosed are a self-correction method and device for a structured light depth camera of a smart phone. The self-correction device for the structured light depth camera of the smart phone consists of an infrared laser speckle projector, an image receiving sensor, a self-correction module, a depth calculating module and a mobile phone application processing AP.

Abstract: There are provided a depth information acquisition method and device. The method includes: determining a relative geometric position relationship between a ToF camera and left and right cameras in a binocular camera, and internal parameters; collecting the depth map generated by the ToF camera and the images of two cameras; converting the depth map into a binocular disparity value between corresponding pixels in the images of the two cameras; mapping, by using the converted binocular disparity value, any pixel in the depth map generated by the ToF camera to corresponding pixel coordinates of the images of the two cameras to obtain a sparse disparity map; and performing calculation on all pixels in the depth map generated by the ToF camera to obtain a dense disparity map, thereby obtaining more accurate and denser depth information; or inversely calibrating collected depth map by the ToF camera with the sparse disparity map.

Abstract: The present disclosure provides an automatic correction method and device for a structured-light 3D depth camera. When the optical axis of a laser encoded pattern projector and the optical axis of an image reception sensor change, an offset of an input encoded image relative to an image block in a reference encoded image is acquired, and then the position of the reference encoded image is oppositely adjusted upwards or downwards according to an offset change to form a self-feedback regulation closed-loop system between the center of the input encoded image and the center of the reference encoded image, so that the optimal matching relation can always be figured out when the optical axes of the input encoded image and the reference encoded image change drastically. Furthermore, depth calculation can be carried out according to the corrected offset.

Abstract: There are provided a depth information acquisition method and device. The method includes: determining a relative geometric position relationship between a ToF camera and left and right cameras in a binocular camera, and internal parameters; collecting the depth map generated by the ToF camera and the images of two cameras; converting the depth map into a binocular disparity value between corresponding pixels in the images of the two cameras; mapping, by using the converted binocular disparity value, any pixel in the depth map generated by the ToF camera to corresponding pixel coordinates of the images of the two cameras to obtain a sparse disparity map; and performing calculation on all pixels in the depth map generated by the ToF camera to obtain a dense disparity map, thereby obtaining more accurate and denser depth information; or inversely calibrating collected depth map by the ToF camera with the sparse disparity map.

Abstract: Disclosed are a self-correction method and device for a structured light depth camera of a smart phone. The self-correction device for the structured light depth camera of the smart phone consists of an infrared laser speckle projector, an image receiving sensor, a self-correction module, a depth calculating module and a mobile phone application processing AP.

Abstract: The present disclosure provides an automatic correction method and device for a structured-light 3D depth camera. When the optical axis of a laser encoded pattern projector and the optical axis of an image reception sensor change, an offset of an input encoded image relative to an image block in a reference encoded image is acquired, and then the position of the reference encoded image is oppositely adjusted upwards or downwards according to an offset change to form a self-feedback regulation closed-loop system between the center of the input encoded image and the center of the reference encoded image, so that the optimal matching relation can always be figured out when the optical axes of the input encoded image and the reference encoded image change drastically. Furthermore, depth calculation can be carried out according to the corrected offset.