Abstract: The present disclosure relates to a pupil positioning method. The pupil positioning method may include: obtaining an eye image under illumination of a light source; determining a first internal point in a pupil of the eye image; calculating gradient changes of pixel points along a straight line starting from the first internal point toward outside of the pupil; determining a plurality of edge points at an edge of the pupil based on the gradient changes of the pixel points along the straight line; and performing ellipse fitting on the edge points to obtain a pupil center.

Abstract: The present disclosure relates to the field of display technologies, and particularly discloses a color film substrate, a display panel, a backlight module, a display device and a display system. The color film substrate includes a plurality of pixel units arranged in an array, each of the plurality of pixel units including a first-class filtering unit and a second-class filtering unit, wherein the first-class filtering unit allows visible light to pass through and blocks invisible light, and the second-class filtering unit allows the invisible light to pass through and blocks the visible light.

Abstract: Provided is a method for compressing texture data of a three-dimensional model, including: acquiring data of polygonal surfaces constituting a contour of a target three-dimensional model, and data of a texture image and a phase plane of the contour; acquiring the texture data of texture points in a texture point group corresponding to each polygonal surface, the texture points in the texture point group including first and second texture points; assigning a weight to each texture point in each texture point group according to the texture data of the first texture points in the texture point group; calculating a sum of weights of each texture point in each texture point group; and compressing the texture data, according to a target compressed data amount, and the texture data and the sum of weights of the texture point whose sum of weights is not zero.

Abstract: A camera positioning method, device and medium are provided. The method includes: determining positioning configuration information; determining, according to the positioning configuration information, positioning information of the camera by a preset algorithm, the positioning information including distance limitation data which defines a distance between a target and the camera; and determining a position of the camera according to the positioning information, wherein the positioning configuration information includes target data, ratio data of a target image in an image captured by the camera, and camera parameter data.

Abstract: Embodiments of the present disclosure relate to a method for analyzing an imaging quality of an imaging system. The imaging system comprises a spatial light modulator. The spatial light modulator comprises pixel units arranged in an array. The method comprises obtaining a transmittance distribution function of the spatial light modulator based on a structural parameter of the pixel unit, wherein the structural parameter is an aperture ratio. The imaging quality analysis parameter of the imaging system is obtained based on the transmittance distribution function of the spatial light modulator. Then, the imaging quality of the imaging system is analyzed based on the imaging quality analysis parameter.

Abstract: This disclosure provides a pupil localization method, a device, an apparatus and a storage medium. The method comprises: preprocessing a pupil image; generating a first projection curve and a second projection curve on horizontal and vertical axes of two-dimensional coordinate axes respectively according to the preprocessed image; determining a first pair of dividing points and a second pair of dividing points on the first projection curve and the second projection curve respectively according to a pre-configured threshold; and determining center coordinates of the pupil according to the first pair of dividing points and the second pair of dividing points. This disclosure obtains projection curves through a simple operation of the preprocessed image on the two-dimensional coordinate axes, and then intercepts the dividing point on the projection curves according to the preconfigured threshold to determine the center coordinates of the pupil.

Abstract: A gaze point compensation method and apparatus in a display device, and a display device are provided. The method includes: obtaining a real-time eye image of a user; obtaining an eye-corner position coordinate in the real-time eye image; when the eye-corner position coordinate is within an initial calibration range, making first compensation for the eye-corner position coordinate according to a correspondence relationship between a pupil and an eye-corner position; otherwise, making second compensation for the eye-corner position coordinate, wherein the second compensation is configured to make the eye-corner position coordinate after the second compensation at least be within the initial calibration range; and compensating for a gaze point according to the first compensation or the second compensation.

Abstract: A data transmission method, a method of displaying three-dimensional image, a data transmission device and a three-dimensional image display device are provided. The shift register unit includes a device. The data transmission method, comprises: performing a phase decomposition on a preset three-dimensional model to generate a plurality of phase images; acquiring position information and color information of pixels in the plurality of phase images; and sending the position information and the color information of the pixels in the plurality of phase images to a volumetric three-dimensional display device.

Abstract: A visual fatigue recognition method, a visual fatigue recognition device, a virtual reality apparatus and a storage medium. The visual fatigue recognition method includes acquiring an eye image of a user; acquiring a visual feature from the eye image, and calculating a visual fatigue value according to the visual features according to the visual feature a visual fatigue value; comparing the visual fatigue value with a fatigue grade threshold values and determining a the visual fatigue grade based on the comparison result; and allowing the visual fatigue grade to be used to generate a corresponding alert signal. The visual fatigue recognition method helps to protect the user's eyesight.

Abstract: Embodiments of the present disclosure provide a maximum connected domain marking method, a target tracking method and an AR (Augmented Reality)/VR (Virtual Reality) apparatus, and relate to the field of image processing technology, and can obtain the maximum connected domain. A maximum connected domain marking method comprises: marking connected domains of pixels of a binary image and recording equivalent relationships; merging the equivalent connected domains according to the equivalent relationships, for pixels with the equivalent relationships in the marked results; counting the number of pixels in each merged connected domain; determining a connected domain label for the maximum connected domain according to the counted number of pixels in each connected domain; and determining coordinates of boundary pixels in the maximum connected domain based on the connected domain label.

Abstract: The present disclosure provides a method, apparatus, and measurement device for measuring distortion parameters of a display device, and a computer-readable medium. The display device includes a display screen and a lens located on a light exiting side of the display screen, and the method includes: acquiring a distortion image which is generated an initial through the lens, wherein the initial image is an image displayed on the display screen, the initial image comprises a plurality of first corner points, and the distortion image comprises a plurality of second corner points which match the plurality of first corner points respectively; and determining the distortion parameters of the display device according to a locational relationship between the second corner points and a first corner points which match the second corner points.

Abstract: The present disclosure provides a posture estimation method, a posture estimation apparatus, and a computer readable storage medium. Here, the posture estimation method includes: calculating an angular velocity control amount at a current moment based on a measured acceleration value and an estimated acceleration value at the current moment; correcting the measured angular velocity value at the current moment according to the calculated angular velocity control amount to obtain the corrected angular velocity value at the current moment; and obtaining an estimated posture quaternion value at a next moment according to the corrected angular velocity value obtained by calculation and an estimated posture quaternion value at the current moment.

Abstract: A camera calibration plate, a camera calibration method and device, and an image acquisition system are described. The camera calibration plate includes a planar plate body, and a plurality of groups of concentric circles on the planar plate body. The plurality of groups of concentric circles are same and include solid circle center points. The plurality of groups of concentric circles are distributed in an array.

Abstract: An image processing method and an image processing includes, when a current frame contains a target picture, taking the current frame as a reference frame for tracking and taking a set of matching points in the current frame, which match the target picture as an initial set of tracking points, to perform tracking of the target picture; obtaining a next frame and determining a set of tracking points of the next frame based on the initial set of tracking points; determining whether the number of tracking points in the set of tracking points is less than a first preset threshold; and, when the number of tracking points in the set of tracking points is less than the first preset threshold, determining supplementary tracking points and adding the supplementary tracking points to the set of tracking points.

Abstract: A gaze point compensation method and apparatus in a display device, and a display device are provided. The method includes: obtaining a real-time eye image of a user; obtaining an eye-corner position coordinate in the real-time eye image; when the eye-corner position coordinate is within an initial calibration range, making first compensation for the eye-corner position coordinate according to a correspondence relationship between a pupil and an eye-corner position; otherwise, making second compensation for the eye-corner position coordinate, wherein the second compensation is configured to make the eye-corner position coordinate after the second compensation at least be within the initial calibration range; and compensating for a gaze point according to the first compensation or the second compensation.

Abstract: A method and an apparatus for positioning a pupil, a storage medium, and an electronic device are provided. The method includes acquiring a plurality of fitting points on a target pupil boundary obtained in an image to be processed, and moving the plurality of fitting points in a preset direction by a preset distance to obtain a plurality of target fitting points; performing ellipse fitting on the plurality of target fitting points according to Cramer's law to obtain an ellipse, and acquiring a center point of the ellipse; moving the center point in a direction opposite to the preset direction by the preset distance, and determining the center point after the movements as the pupil.

Abstract: This disclosure provides a pupil localization method, a device, an apparatus and a storage medium. The method comprises: preprocessing a pupil image; generating a first projection curve and a second projection curve on horizontal and vertical axes of two-dimensional coordinate axes respectively according to the preprocessed image; determining a first pair of dividing points and a second pair of dividing points on the first projection curve and the second projection curve respectively according to a pre-configured threshold; and determining center coordinates of the pupil according to the first pair of dividing points and the second pair of dividing points. This disclosure obtains projection curves through a simple operation of the preprocessed image on the two-dimensional coordinate axes, and then intercepts the dividing point on the projection curves according to the preconfigured threshold to determine the center coordinates of the pupil.

Abstract: Embodiments of the present disclosure provide a maximum connected domain marking method, a target tracking method and an AR (Augmented Reality)/VR (Virtual Reality) apparatus, and relate to the field of image processing technology, and can obtain the maximum connected domain. A maximum connected domain marking method comprises: marking connected domains of pixels of a binary image and recording equivalent relationships; merging the equivalent connected domains according to the equivalent relationships, for pixels with the equivalent relationships in the marked results; counting the number of pixels in each merged connected domain; determining a connected domain label for the maximum connected domain according to the counted number of pixels in each connected domain; and determining coordinates of boundary pixels in the maximum connected domain based on the connected domain label.