Abstract: An image segmentation method, an image segmentation apparatus, an image segmentation device are provided, the image segmentation method including: extracting, from a current frame of a video image, a skeleton two-dimensional estimation and a skeleton three-dimensional estimation of a human three-dimensional skeleton; obtaining a target three-dimensional skeleton based on the skeleton two-dimensional estimation and the skeleton three-dimensional estimation; implementing image segmentation based on the target three-dimensional skeleton; wherein the human three-dimensional skeleton has multiple nodes, and the video image is a two-dimensional image, when calculating the target three-dimensional skeleton in the current frame, by comprehensively considering the skeleton two-dimensional estimation and skeleton three-dimensional skeleton estimation of the human three-dimensional skeleton in the current frame, the accuracy and robustness of the obtained target three-dimensional skeleton can be improved, thereby improv

Abstract: Aspects of the present disclosure relate to a control system, a system, a method, a vehicle and a non-transitory computer readable medium for receiving user movement data indicative of movement of a user's head; receiving object movement data indicative of movement of an object, the object being associated with a non-driving task; determining one or more relative movement parameters indicative of the relative movement of the user's head with respect to the object based at least in part on the received user movement data and the object movement data; and determining an attention level of the user to the non-driving task in based at least in part on the determined relative movement parameter.

Abstract: The disclosure provides a method for defect classification, including: extracting a low-level feature of a defect region from a defect image; encoding the low-level feature by using a defect dictionary to obtain a middle-level semantic feature corresponding to the low-level feature; classifying a defect in the defect region of the defect image into one of a plurality of defect categories based on the middle-level semantic feature, wherein the defect dictionary includes a defect intra-category dictionary and a defect inter-category dictionary.

Abstract: A three-dimensional display apparatus includes: a display layer and a transmissive phase modulator, wherein the transmissive phase modulator is disposed on a light exit side of the display layer, and includes a plurality of modulation units; and each of the modulation units is configured to perform phase modulation on light received by the modulation unit, and is configured such that a picture displayed by the display layer is presented as a contiguous curved virtual image after being processed by the transmissive phase modulator.

Abstract: A display device, a method for realizing panoramic sound, a non-transitory storage medium are provided. The method includes: performing space model parameter modification on preset space model based on application environment; determining middle audio source information based on video source information as read, determining side audio source information based on video source information and modified space model parameter; determining top audio source information based on sound image position information and side audio source information; controlling middle sound production circuit to produce sound based on middle audio source information, two side sound production circuits to produce sound based on side audio source information, top sound production circuit to produce sound based on top audio source information.

Abstract: The present disclosure provides a method for driving a display device, an apparatus for driving a display device, a display device and a computer readable medium. The display device includes a backlight module, and the backlight module includes a plurality of backlight partitions. The driving method may include: determining backlight signal values of the plurality of backlight partitions according to input grayscale values of pixels in an image to be displayed; determining a backlight jump value of each of the plurality of backlight partitions according to the backlight signal values of the plurality of backlight partition; adjusting the backlight signal values of the plurality of backlight partitions according to the backlight jump values to obtain adjusted backlight signal values; and driving the backlight module to emit light using the adjusted backlight signal values of the plurality of backlight partitions.

Abstract: Disclosed herein includes a method, an apparatus, a display device and storage medium storing computer executable instructions for positioning a gaze point. The method for obtaining a gaze point in a display device may comprise capturing a real time eye image, obtaining a real time pupil center point from the real time eye image, determining a gaze target zone based on the real time pupil center point and obtaining a gaze point on a target screen generated by the display device based on the real time pupil center point and a mapping ratio for the gaze target zone.

Abstract: An image classification method, a computer device, and a medium are disclosed. The method includes: acquiring a middle-level semantic feature of an image to be classified through a visual dictionary; and classifying the image to be classified according to the middle-level semantic feature of the image to be classified using a classification model based on middle-level semantic features.

Abstract: The present disclosure provides a method for driving a display device, an apparatus for driving a display device, a display device and a computer readable medium. The display device includes a backlight module, and the backlight module includes a plurality of backlight partitions. The driving method may include: determining backlight signal values of the plurality of backlight partitions according to input grayscale values of pixels in an image to be displayed; determining a backlight jump value of each of the plurality of backlight partitions according to the backlight signal values of the plurality of backlight partition; adjusting the backlight signal values of the plurality of backlight partitions according to the backlight jump values to obtain adjusted backlight signal values; and driving the backlight module to emit light using the adjusted backlight signal values of the plurality of backlight partitions.

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: Disclosed herein includes a method, an apparatus, a display device and storage medium storing computer executable instructions for positioning a gaze point. The method for obtaining a gaze point in a display device may comprise capturing a real time eye image, obtaining a real time pupil center point from the real time eye image, determining a gaze target zone based on the real time pupil center point and obtaining a gaze point on a target screen generated by the display device based on the real time pupil center point and a mapping ratio for the gaze target zone.

Abstract: The disclosure provides a method for defect classification, including: extracting a low-level feature of a defect region from a defect image; encoding the low-level feature by using a defect dictionary to obtain a middle-level semantic feature corresponding to the low-level feature; classifying a defect in the defect region of the defect image into one of a plurality of defect categories based on the middle-level semantic feature, wherein the defect dictionary includes a defect intra-category dictionary and a defect inter-category dictionary.

Abstract: An image segmentation method, an image segmentation apparatus, an image segmentation device are provided, the image segmentation method including: extracting, from a current frame of a video image, a skeleton two-dimensional estimation and a skeleton three-dimensional estimation of a human three-dimensional skeleton; obtaining a target three-dimensional skeleton based on the skeleton two-dimensional estimation and the skeleton three-dimensional estimation; implementing image segmentation based on the target three-dimensional skeleton; wherein the human three-dimensional skeleton has multiple nodes, and the video image is a two-dimensional image, when calculating the target three-dimensional skeleton in the current frame, by comprehensively considering the skeleton two-dimensional estimation and skeleton three-dimensional skeleton estimation of the human three-dimensional skeleton in the current frame, the accuracy and robustness of the obtained target three-dimensional skeleton can be improved, thereby improv

Abstract: An image classification method, a computer device, and a medium are disclosed. The method includes: acquiring a middle-level semantic feature of an image to be classified through a visual dictionary; and classifying the image to be classified according to the middle-level semantic feature of the image to be classified using a classification model based on middle-level semantic features.