Abstract: A display device includes a display panel and a circuit. For a first sub-pixel, the circuit obtains a corresponding second sub-pixel. The circuit calculates a first compensation value according to the grays levels of the first sub-pixel and the second sub-pixel, and calculates a second compensation value according to the polarity states of the first sub-pixel and the second sub-pixel and the difference between the gray levels of the two sub-pixels. The circuit also calculates a gain according to the position of the first sub-pixel, compensates the gray level to the first sub-pixel according to the first compensation value, the second compensation value and the gain to obtain an output gray level, and drives the first sub-pixel according to the output gray level.

Abstract: A 3D sensing system including a liquid crystal lens, a projector, an image sensor and a circuit. The projector provides a light beam to the liquid crystal lens which applies a pattern to the light beam to generate a structured light. The image sensor captures an image corresponding to the structured light. The circuit calculates first depth information according to the pattern and the image, and determines if the image satisfies a quality requirement. If the image does not satisfy the quality requirement, the pattern is modified and another image is captured for calculating second depth information. The first and second depth information are combined to generate a depth map.

Abstract: A system for calibrating a three-dimensional scanning device includes a structured-light scanner capable of performing a structured-light operation, and a processor that performs calibration on a device under calibration (DUC). The structured-light scanner captures a base image by performing the structured-light operation prior to calibration. The structured-light scanner captures a calibration image with respect to corresponding DUC during calibration, and the calibration image is inputted to the processor, which determines transformation mapping from the calibration image to the base image. The determined transformation is then transferred to the DUC during calibration.

Abstract: A depth processor including a region of interest determination circuit and a depth decoder is provided. The region of interest determination circuit is configured to determine a size of a region of interest of an input image. The depth decoder is coupled to the region of interest determination circuit and configured to generate a depth map of the input image according to a filter size. The filter size is set according to the size of the region of interest of the input image.

Abstract: A 3D sensing system is provided. The 3D sensing system includes a first sensing device, a second sensing device and a controller. The first sensing device provides at least one first emitting light and receives a first sensing signal based on a first sensing timing. The second sensing device provides at least one second emitting light and receives a second sensing signal based on a second sensing timing. The controller adjusts at least one of the first sensing timing and the second sensing timing according to an interference result of the second sensing signal by the first sensing device.

Abstract: An example method to control a light source in structured light imaging associated with a target includes obtaining two-dimensional image information and depth information of an image including the target and a scene, associating the depth information with pixels of the image, selecting a first set of pixels of the pixels based on a first set of the depth information and a second set of pixels of the pixels based on a second set of the depth information, calculating a first average pixel luminance (APL) of the first set of pixels and a total APL of the first and the second sets of pixels, obtaining a weighted APL based on the first APL and the total APL and controlling the light source based on the weighted APL.

Abstract: A three-dimensional (3D) sensing system for determining a 3D profile of an object and a method are provided. The 3D sensing system includes a first light source, a liquid crystal lens, a light detector and a control circuit. The first light source is configured to emit polarized light with a polarization setting for projecting a structured light pattern on the object. The liquid crystal lens in a polarization state allows incident light with the polarization setting to pass through and block incident light without the polarization setting from passing through. The light detector is configured to detect light reflected from the object and passing through the liquid crystal lens. When the 3D sensing system is in a 3D mode, the control circuit is configured to turn on the first light source and control the liquid crystal lens to enter the polarization state.

Abstract: An example method to render an image includes obtaining two-dimensional image information of the image including a target and a scene and depth information associated with a first set of pixels and a second set of pixels of the image. The first set of pixels correspond to the target and the second set of pixels correspond to the scene. In response to depth information associated with a pixel of the image being in the predetermined range, the example method includes associating a first depth index with the pixel. Otherwise, the example method associates a second depth index with the pixel. The example method further includes calculating a weighted average picture level of the image based on grayscale values of pixels of the image, the first depth index and/or the second depth index and rendering the image based on the weighted average picture level.

Abstract: A system for calibrating a three-dimensional scanning device includes a structured-light scanner capable of performing a structured-light operation, and a processor that performs calibration on a device under calibration (DUC). The structured-light scanner captures a base image by performing the structured-light operation prior to calibration. The structured-light scanner captures a calibration image with respect to corresponding DUC during calibration, and the calibration image is inputted to the processor, which determines transformation mapping from the calibration image to the base image. The determined transformation is then transferred to the DUC during calibration.

Abstract: A three-dimensional sensing system includes a plurality of scanners each emitting a light signal to a scene to be sensed and receiving a reflected light signal, according to which depth information is obtained. Only one scanner executes transmitting corresponding light signal and receiving corresponding reflected light signal at a time.

Abstract: An object detection system includes a projector that projects an original transmitted light on a scene containing an object; an adjustable device configured to shape the original transmitted light, thereby generating a shaped transmitted light; and an image capture device configured to capture an image from a reflected light from the scene. The original transmitted light is alternated with the shaped transmitted light, thereby resulting in an integrated image captured by the image capture device.

Abstract: A method for performing region-of-interest (ROI)-based depth detection with aid of a pattern-adjustable projector and associated apparatus are provided.

Abstract: A method for performing region-of-interest (ROI)-based depth detection with aid of a pattern-adjustable projector and associated apparatus are provided.

Abstract: A three-dimensional (3D) sensing system for determining a 3D profile of an object and a method are provided. The 3D sensing system includes a first light source, a liquid crystal lens, a light detector and a control circuit. The first light source is configured to emit polarized light with a polarization setting for projecting a structured light pattern on the object. The liquid crystal lens in a polarization state allows incident light with the polarization setting to pass through and block incident light without the polarization setting from passing through. The light detector is configured to detect light reflected from the object and passing through the liquid crystal lens. When the 3D sensing system is in a 3D mode, the control circuit is configured to turn on the first light source and control the liquid crystal lens to enter the polarization state.

Abstract: A method for performing hybrid depth detection with aid of an adaptive projector and associated apparatus are provided. The method includes: utilizing an image processing circuit to obtain distance information; utilizing the image processing circuit to determine a distance range according to the distance information; utilizing the image processing circuit to perform projection type selection to determine at least one selected projection type corresponding to the distance range among multiple predetermined projection types; utilizing the adaptive projector to perform projection of the at least one selected projection type to capture at least one corresponding image with a camera, and utilizing the image processing circuit to perform depth detection according to corresponding image to generate depth map; and utilizing the image processing circuit to selectively output the depth map as resultant depth map or perform depth data combination to generate combined depth map as resultant depth map.

Abstract: A method and a display device are provided. The method includes: generating a plurality of timing control signals for controlling a plurality of LED driving circuits, wherein the plurality of timing control signals include a first timing control signal and a second timing control signal; allowing the first LED driving circuit to drive an Nth scan line of a first display region at a first driving timing through the first timing control signal; and allowing the second LED driving circuit to drive an Nth scan line of the second display region at a second driving timing that is different from the first driving timing through the second timing control signal.

Abstract: A three-dimensional (3D) sensing system for determining a 3D profile of an object and a method are provided. The 3D sensing system includes a liquid crystal lens, a structure light source and a control circuit. The structure light source is configured to emit a structure light pattern with a plurality of dots on the object through the liquid crystal lens. The control circuit is configured to control the liquid crystal lens to separate the plurality of dots under a separating mode, and the control circuit is configured to control the liquid crystal lens to overlap the plurality of dots under an overlapping mode.

Abstract: A depth processor including a region of interest determination circuit and a depth decoder is provided. The region of interest determination circuit is configured to determine a size of a region of interest of an input image. The depth decoder is coupled to the region of interest determination circuit and configured to generate a depth map of the input image according to a filter size. The filter size is set according to the size of the region of interest of the input image.

Abstract: A depth processor including a region of interest determination circuit and a depth decoder is provided. The region of interest determination circuit is configured to determine a region of interest of an input image. The depth decoder is coupled to the region of interest determination circuit and configured to generate a depth map of the region of interest of the input image.

Abstract: A depth processor including a region of interest determination circuit and a depth decoder is provided. The region of interest determination circuit is configured to determine a region of interest of an input image. The depth decoder is coupled to the region of interest determination circuit and configured to generate a depth map of the region of interest of the input image.