Abstract: A panum's area measurement method includes: projecting a first parallax image of a spatial object to the left eye of a user under test, and projecting a second parallax image of the spatial object to the right eye of the user under test, the first parallax image comprising a first homologous point and the second parallax image comprising a second homologous point; adjusting a horizontal parallax amount between the first homologous point and the second homologous point until the user under test observes the spatial object producing a ghost; acquiring a parallax amount parameter ?ne; calculating a horizontal physical spacing ?x between the first homologous point and the second homologous point based on the parallax amount parameter ?ne; and calculating a panum's area range (?in, ?out) of the user under test based on the horizontal physical spacing ?x.

Abstract: A method, a device and a terminal for generating training data is provided. The method for generating training data includes: obtaining an original image; determining a transferred image based on the image style transfer model and the original image, wherein the image style transfer model is obtained by minimizing a loss function, the loss function is determined by the original loss function the background loss function and the foreground loss function; determining the training data based on the transferred image. The difference between the generated training data and the target image is small, thereby improving the accuracy of the training model obtained by using the training data.

Abstract: A target identification method includes: using information of a to-be-detected target acquired within a predetermined time period as judgment information; acquiring an identification result of the to-be-detected target at a current time and outputting the identification result; judging whether the attribute type corresponding to the identification result is an attribute type having the highest priority; and if the attribute type corresponding to the identification result is not the attribute type having the highest priority, using information of the to-be-detected target acquired within a next predetermined time period as the judgment information, and returning to the step of acquiring an identification result of the to-be-detected target at a current time and outputting the identification result.

Abstract: A method for improving robustness of a visual-inertial navigation system includes: determining a reference frame; correcting the reference frame; and performing non-linear optimization for frames other than the reference frame and an oldest frame according to the oldest frame and the corrected reference frame.

Abstract: A binocular brightness sensitivity measurement method based on a wearable display device includes: loading a first test image and a second test image which has a brightness different from that of the first test image respectively for two eyes of a user under test; adjusting the brightness of the first test image and/or the second test image until a predefined brightness sensitivity perception test condition is fulfilled; acquiring a brightness difference between the first test image and the second test image; and determining a binocular brightness sensitivity of the user under test based on the brightness difference.

Abstract: The embodiment of the present invention discloses a method and an apparatus for processing display data. The method includes: obtaining user data of a user render request according to the received user render request, wherein the user data include: a scene picture and an augmented reality picture; setting layer information of a virtual camera that performs image render on the scene picture and the augmented reality picture in a render process, and layer information of the scene picture and the augmented reality picture in the render process, wherein the virtual camera and the scene picture and the augmented reality picture rendered by the virtual camera correspond to the same layer information in the render process; and rendering the scene picture and the augmented reality picture by the virtual camera corresponding to layer information in the render process according to different layer information.

Abstract: A method for generating training data includes: defining a corresponding category tag for an object model in a three-dimensional scenario; acquiring a plurality of corresponding scenario images by modifying scenario parameters of the three-dimensional scenario; rendering the object model to a monochromic material corresponding to the category tag of the object model; acquiring a semantic segmentation image corresponding to each scenario image based on the rendered object model; and storing each scenario image and the semantic segmentation image corresponding to the scenario image as a set of training data.

Abstract: A positioning method, a terminal and a server, and relates to the field of positioning and navigation, for performing accurate global positioning. The positioning method includes: a terminal sends a first global coordinate to a server, the server receives the first global coordinate from the terminal, the server searches for corresponding local map data and mapping parameters corresponding to the local map data according to the first global coordinate, the server sends the local map data and the mapping parameters to the terminal, and the terminal obtains a local coordinate of the current location according to the local map data and surrounding environment information of the current location, and obtains a second global coordinate of the current location according to the local coordinate of the current location and the mapping parameters. The embodiment of the present disclosure is applied to accurate positioning.

Abstract: An interaction method and apparatus of a virtual robot, a storage medium and an electronic device, includes obtaining interaction information input by a user for interacting with the virtual robot; inputting the interaction information into a control model of the virtual robot, wherein the control model is obtained by training by using interaction information input by a user of a live video platform and behavior response information of an anchor for the interaction information as model training samples; and performing behavior control on the virtual robot according to behavior control information output by the control model based on the interaction information. The method achieves the interaction between the virtual robot and the user, improving the instantaneity, the flexibility and the applicability of the virtual robot, and meeting the emotional and action communication demands of the user and the virtual robot.

Abstract: A human-computer hybrid decision method and apparatus, which relate to the field of artificial intelligence, are presented to solve the problem that it is difficult to ensure the system reliability by artificial intelligence alone. The method includes: determining a confidence coefficient of an artificial intelligence AI module for target information, wherein the confidence coefficient is used for indicating a probability that the AI module make a correct decision according to the target information; in response to the confidence coefficient being greater than a preset threshold, obtaining decision information made by the AI module according to the target information to serve as actual decision information; and in response to the confidence coefficient being less than the preset threshold, displaying the target information and providing an interaction interface; obtaining artificial decision information received by the interaction interface to serve as the actual decision information.

Abstract: An information processing method, device, cloud-based processing device, and computer program product are related to the field of data processing technologies and can cause an increased efficiency in detecting whether a road area contains a depression region. The information processing method includes: acquiring a depth image; processing the depth image to obtain a means-by-row graph, based on which a road area in the depth image is determined; determining a suspected depression region in the road area; and judging over the suspected depression region based on a depression threshold to determine whether the depth image contains a depression region.

Abstract: A cloud-based trajectory map generation method, device, apparatus and application. The method includes: acquiring first trajectory map data and second trajectory map data; performing a map-initializing treatment to align the two trajectory map data to obtain an initial value of a transformation relationship therebetween; interpolating the two trajectory map data to obtain corresponding data at preset interpolation points thereto; determining a residual equation based on the corresponding data at the preset interpolation points and the initial value of the transformation relationship to obtain an optimal solution of the transformation relationship based thereon; and generating a trajectory map based on the optimal solution of the transformation relationship.

Abstract: An obstacle avoidance reminding method includes: performing ground detection based on acquired image data to acquire ground information of a road; performing passability detection based on the acquired ground information, and determining a traffic state of the road; if it is determined that the road is impassable, performing road condition detection for the road to acquire a first detection result, and performing obstacle detection for the road to acquire a second detection result; and determining obstacle avoidance reminding information based on the first detection result and the second detection result.

Abstract: An image annotating method includes: acquiring an image collected at a terminal; acquiring voice information associated with the image; annotating the image according to the voice information; and storing an annotated result of the image.

Abstract: A positioning method and device are provided, which relate to the field of positioning and navigation and are used to solve the problem that a vSLAM fails to perform positioning and navigation due to the influence of an angle of view and illumination. The positioning method includes: creating a plurality of visual simultaneous localization and mapping (vSLAM) processes, and loading corresponding map databases for each of the vSLAM processes respectively; calling each of the vSLAM processes to perform positioning based on real-time images; and performing positioning according to positioning results obtained by each vSLAM process succeeding in positioning. The embodiments of the present invention are applied to the positioning or navigation of devices such as robots, automatic driving cars and the like.

Abstract: The embodiment of the present application discloses a display data processing method and apparatus, and relates to the technical field of image processing. Display data including global environmental information may be generated to represent a whole situation of an environment where a user is located to background service personnel, so that the background service personnel may globally understand the environment where the user is located. The method includes: collecting scene information of a local scene in an environment where a user is located; detecting a predetermined target in the local scene in the scene information, and generating visual data, wherein the visual data include the predetermined target; and superposing the visual data with an environmental model of the environment, and generating display data of a specified perspective, the display data include the environmental model and the predetermined target. The embodiment of the present application is applied to display data processing.

Abstract: The embodiment of the present disclosure provides an image identification system and an image identification method, and relates to the field of identification technology for improving the classification accuracy of the existing image classification model.

Abstract: The embodiment of the present invention discloses a method and an apparatus for processing display data. The method includes: obtaining user data of a user render request according to the received user render request, wherein the user data include: a scene picture and an augmented reality picture; setting layer information of a virtual camera that performs image render on the scene picture and the augmented reality picture in a render process, and layer information of the scene picture and the augmented reality picture in the render process, wherein the virtual camera and the scene picture and the augmented reality picture rendered by the virtual camera correspond to the same layer information in the render process; and rendering the scene picture and the augmented reality picture by the virtual camera corresponding to layer information in the render process according to different layer information.

Abstract: The embodiment of the present application provides a method and apparatus for detection of false alarm obstacle, and relates to the field of identification and detection technology, in order to improve accuracy for the obstacle detection. The method includes: obtaining a first view at a moment t and a second view at a moment t-1, collected by a camera; determining location information of the same obstacle to be detected in the first view and the second view; determining motion information of the camera from moment t-1 to the moment t; judging whether the location information of the same obstacle to be detected in two views being matched with the motion information of the camera; and if not, judging the obstacle to be detected as a false alarm obstacle. The embodiment of the present application is applied to obstacle detection.

Abstract: An obstacle detection method and apparatus are provided. The obstacle detection method provided includes: obtaining a to-be-detected image; determining a road surface area and a non-road surface area in the to-be-detected image according to pixel information contained in the to-be-detected image; respectively determining an outermost layer contour line of the road surface area and a contour line of the non-road surface area; and when the contour line of at least one non-road surface area is located in the area contained in the outermost layer contour line of the road surface area, determining a physical object contained in the at least one non-road surface area as an obstacle. The present application is applied to a process of detecting an obstacle.