Abstract: A depth information detector includes a light receiving module and a processor. The light receiving module includes a first receiver and a second receiver set at intervals. The first receiver and the second receiver receive a reflected light reflected by an object to be detected at different positions respectively. The processor electrically connects to the light receiving module. The processor is configured for synthesizing the reflected light received by the first receiver and the second receiver into a depth image. The light receiving module also includes a first polarizer and a second polarizer, the first polarizer is on one side of the first receiver, the second polarizer is on one side of the second receiver, a polarization direction of the first polarizer and a polarization direction of the second polarizer are orthogonal to each other. A time-of-flight camera and a depth image acquisition method are further disclosed.

Abstract: An imaging system for providing high resolution ratio of images under a low cost includes a visible light image module, an infrared image module, and a processor. The visible light image module generates a visible light image. The infrared image module generates an infrared image. The processor executes following processes: acquiring a visible light image and an infrared image; transforming the visible light image and the infrared image into visible light image spectrum information and infrared image spectrum information respectively; acquiring high frequency information from the visible light image spectrum information; merging the high frequency information and the infrared image spectrum information to obtain merged image spectrum information; and transforming the merged image spectrum information into a merged image. An imaging method and a computer readable storage medium are also disclosed.

Abstract: A thermal imaging device includes a metalens and a thermal image sensor. The metalens is configured to adjust incident light into beams of polarized light having different polarization directions, and to converge and emit the beams of polarized light. The thermal image sensor is on an output side of the metalens. The thermal image sensor is configured to receive the beams of polarized light having different polarization directions and construct a polarization image.

Abstract: A method for reconstructing images, an electronic device and a storage medium is provided. In the method, the electronic device obtains an image to be reconstructed of an object captured by a target camera device, and obtains a sample image of the object. A radial basis function network is trained based on the image to be reconstructed and the sample image. An image reconstruction model is obtained by converting the radial basis function network based on a deconvolution algorithm, the image reconstruction model is configured for reconstructing images captured by the target camera device. By performing the method, a clarity of the image to be reconstructed can be improved.

Abstract: A 3D (three dimensional) model reconstruction method that includes the steps outlined below. Depth data of a target object corresponding to a current time spot is received. Camera pose data of the depth camera corresponding to the current time spot is received. Posed 3D point clouds corresponding to the current time spot are generated according to the depth data and the camera pose data. Posed estimated point clouds corresponding to the current time spot are generated according to the camera pose data corresponding to the current time spot and a previous 3D model corresponding to a previous time spot. A current 3D model of the target object is generated according to the posed 3D point clouds based on a difference between the posed 3D point clouds and the posed estimated point clouds.

Abstract: An image processing method includes the following steps: generating a current depth map and a current confidence map, wherein the current confidence map comprises the confidence value of each pixel; receiving a previous camera pose corresponding to a previous position, wherein the previous position corresponds to a first depth map and a first confidence map; mapping at least one pixel position of the first depth map to at least one pixel position of the current depth map according to the previous camera pose and the current camera pose of the current position; selecting the one with the highest confidence value after the confidence value of at least one pixel of the first confidence map is compared with the corresponding confidence value of the pixel of the current confidence map; and generating an optimized depth map of the current position according to the pixels corresponding to the highest confidence value.

Abstract: A 3D model reconstruction method includes: providing, by one or more laser emitters, laser beams; capturing, by a depth camera on an electronic device, a depth data of a target object when that the electronic device moves around the target object; detecting, by one or more light sensors on the electronic device, the laser beams emitted by the one or more laser emitters to obtain a camera pose initial value of the depth camera accordingly; and performing, by a processing circuit, a 3D reconstruction of the target object using the depth data based on the camera pose initial value to output a 3D model of the target object.

Abstract: A 3D (three dimensional) model reconstruction method that includes the steps outlined below. Depth data of a target object corresponding to a current time spot is received. Camera pose data of the depth camera corresponding to the current time spot is received. posed 3D point clouds corresponding to the current time spot are generated according to the depth data and the camera pose data. Posed estimated point clouds corresponding to the current time spot are generated according to the camera pose data corresponding to the current time spot and a previous 3D model corresponding to a previous time spot. A current 3D model of the target object is generated according to the posed 3D point clouds based on a difference between the posed 3D point clouds and the posed estimated point clouds.

Abstract: A 3D model reconstruction method includes: providing, by one or more laser emitters, laser beams; capturing, by a depth camera on an electronic device, a depth data of a target object when that the electronic device moves around the target object; detecting, by one or more light sensors on the electronic device, the laser beams emitted by the one or more laser emitters to obtain a camera pose initial value of the depth camera accordingly; and performing, by a processing circuit, a 3D reconstruction of the target object using the depth data based on the camera pose initial value to output a 3D model of the target object.

Abstract: The present invention discloses a method by utilizing chemical reaction or specific attractive forces (complexation or hydrogen bonding) for forming self-synthesizing conductive or conjugated polymer film and its application. First of all, at least one photoresist layer with a first functional group and a specific pattern is formed, so that the first functional group can bond a second functional group of a conductive or conjugated polymer unit, whereby a conductive or conjugated polymer film with specific pattern is formed. Furthermore, this invention can be applied for forming emitting films, especially for forming emitting layers of OLED/PLED elements.

Abstract: The present invention discloses a method by utilizing chemical reaction or specific attractive forces (complexation or hydrogen bonding) for forming self-synthesizing conductive or conjugated polymer film and its application. First of all, at least one photoresist layer with a first functional group and a specific pattern is formed, so that the first functional group can bond a second functional group of a conductive or conjugated polymer unit, whereby a conductive or conjugated polymer film with specific pattern is formed. Furthermore, this invention can be applied for forming emitting films, especially for forming emitting layers of OLED/PLED elements.