Abstract: Provided are a method and apparatus for detecting a human body around a game table, an electronic device and a storage medium. The method includes that: three-dimensional scene data of the game table collected by at least one three-dimensional sensor arranged around the game table is acquired; human body detection information around the game table is acquired, wherein the human body detection information includes detection information of at least one human body; and the human body detection information is filtered based on the three-dimensional scene data to obtain a human body detection result around the game table.

Abstract: An object association method, apparatus and system, and a storage medium are provided. The method includes: obtaining a first image and a second image; and determining an association relationship between objects in the first image and objects in the second image based on surrounding information of the objects in the first image and surrounding information of the objects in the second image, where the surrounding information of one object is determined according to pixels within a set range around a bounding box of the object in the image where the object is located.

Abstract: A method and apparatus for processing point cloud data, a device, and a storage medium are provided. The method includes: determining, from first point cloud data acquired, multiple groups of neighbouring points for a to-be-processed point, wherein each group of neighbouring points among the multiple groups of neighbouring points has a respective different scale; for each group of neighbouring points, determining a respective association relationship between the group of neighbouring points and the to-be-processed point; for each group of neighbouring points, determining a respective association feature of the to-be-processed point based on the respective association relationship; determining a target feature of the to-be-processed point based on association features corresponding to the multiple groups of neighbouring points; and performing, based on target features of multiple to-be-processed points, point cloud completion on the first point cloud data to generate second point cloud data.

Abstract: Disclosed is a method and apparatus for point cloud data processing, an electronic device and a computer storage medium. For each of multiple data points of first point cloud data, initial feature information of a respective one of the multiple data points and initial feature information of each of multiple neighboring points of the respective data point taken as a center point are acquired; correlation degree information between the respective data point and the multiple neighboring points is determined based on the initial feature information of the respective data point and the initial feature information of each of the multiple neighboring points; first target feature information of the respective data point is determined based on the correlation degree information; and point cloud data reconstruction is performed based on the first target feature information of each of the multiple data points to obtain second point cloud data.

Abstract: Embodiments of the present disclosure provide a method and apparatus for point cloud completion, a network training method and apparatus, a device, and a storage medium. The method includes: determining a probability distribution of an acquired first point cloud; completing the first point cloud based on the probability distribution to obtain a primary completed point cloud; concatenating the primary completed point cloud and the first point cloud to obtain a concatenated point cloud; determining association relationships between the concatenated point cloud and multiple groups of neighbouring points of the concatenated point cloud; completing the concatenated point cloud based on the association relationships to obtain a second point cloud from completion the first point cloud.

Abstract: The embodiments of the present disclosure provide a method, an apparatus and a system for completing point cloud data and a method, an apparatus and a system for processing point cloud data. The method includes: acquiring first point cloud data; acquiring second point cloud data by completing the first point cloud data with a point cloud completion network, wherein, the point cloud completion network is trained based on complete point cloud data and configured to generate third point cloud data according to target latent space vector, and a difference between fourth point cloud data acquired from the third point cloud data by performing preset degradation and real point cloud data collected from a physical space is within a preset difference range.

Abstract: The embodiments of the present disclosure provide methods and apparatuses for generating point cloud completion network and methods, apparatuses and systems for processing point cloud data. First point cloud data is acquired from a first point cloud completion network based on one or more latent space vectors that are acquired through sampling in latent space, and a second point cloud completion network is generated by adjusting the first point cloud completion network based on a points-distribution feature of the first point cloud data. Since the points-distribution feature of the point cloud data is taken into consideration during generating the second point cloud completion network, the trained second point cloud completion network is capable of correcting the points-distribution feature of the point cloud data, and thus outputting the point cloud data with a relatively even points-distribution feature.

Abstract: The embodiments of the present disclosure provide a method, an apparatus and a system for generating a point cloud completion network. The method includes: acquiring first point cloud data by inputting a latent space vector into a pre-trained first point cloud completion network; acquiring real point cloud data collected for a real object in a physical space; for a real point in the real point cloud data, selecting a preset number of points adjacent to the real point from the first point cloud data as neighbor points of the real point; generating second point cloud data based on the neighbor points in the first point cloud data of a plurality of real points; acquiring a second point cloud completion network by adjusting the first point cloud completion network based on a difference between the second point cloud data and the real point cloud data.

Abstract: The present disclosure relates to an image processing method and apparatus, an electronic device, and a storage medium. The method includes: acquiring at least two target images; determining an attention map of at least one target in each of the at least two target images according to a result of detecting target of each target image, where the attention map indicates the position of one target in a target image; and determining, based on each target image and the attention map of the at least one target in the each target image, a result of association that indicates whether a correspondence exists between at least some of targets in different target images.

Abstract: The present disclosure provides a method and apparatus for detecting a dealing sequence, a storage medium, and an electronic device. The method includes: obtaining a video stream of a game desktop, and detecting a game card from multiple image frames included in the video stream; in response to detecting a newly added game card from at least one of the multiple image frames, determining whether the newly added game card is in a target state in which dealing ends; after it is determined that the newly added game card is in the target state in which dealing ends, determining game information corresponding to the newly added game card; and determining, based on the game information, whether a sequence of dealing the newly added game card conforms to a predetermined dealing sequence.

Abstract: An image recognition method includes: performing image detection on an image to be recognized to obtain at least one face detection result, at least one operational part detection result, and at least one trunk detection result, each face detection result including one face bounding box, each operational part detection result including one operational part bounding box, and each trunk detection result including one trunk bounding box; respectively combining each of the at least one trunk detection result with each face detection result, to obtain at least one first result combination; respectively combining each trunk detection result with each operational part detection result, to obtain at least one second result combination; and associating the at least one first result combination with the at least one second result combination, to obtain an association result.

Abstract: Disclosed are a gesture recognition method and apparatus, an electronic device, and a storage medium. The method includes: obtaining a hand detection result by detecting a to-be-processed image; in response to the hand detection result including a bounding box of hand, determining that a hand pose in the bounding box of hand conforms to a hand pose in a target gesture; determining that the hand is located in a pre-defined area of the to-be-processed image; and determining that the hand makes the target gesture.

Abstract: Embodiments of the present specification provide a target recognition method, apparatus, and system. The method comprises: obtaining an image recognition result and a radio frequency recognition result of target objects in a target region, and then determining the distribution of the target objects in the target region according to the radio frequency recognition result and the image recognition result. Since the radio frequency recognition result and the image recognition result are fused, the target objects in the target region can be accurately recognized, so as to improve the recognition accuracy.

Abstract: Image recognition method and apparatus, and computer-readable storage medium are provided. The method includes: determining changed object according to change of states of at least one group of target objects in detection area; obtaining a set of image frames in side view consisting of image frames in side view and at least one image frame to be matched that are collected within a first preset time period before states of at least one group of target objects in detection area are changed; determining associated image frame from at least one image frame to be matched; obtaining image frame in side view corresponding to associated image frame from the set of image frame in side view; and determining, according to associated image frame and the image frame in the side view, target intervention object having the highest degree of association with changed object from at least one intervention object.

Abstract: Disclosed are a target tracking method and apparatus, an electronic device, and a storage medium. The method includes: detecting a to-be-processed image to obtain a hand detection result; in response to the hand detection result including a bounding box of hand, determining a hand in the bounding box with a hand pose conforming to a hand pose in a target gesture as a target hand; and tracking the target hand in a video stream according to the target hand in the to-be-processed image, where images in the video stream and the to-be-processed image are obtained by capturing a same target area, and the images in the video stream are captured after the to-be-processed image is captured.

Abstract: An object association method, apparatus and system, and a storage medium are provided. The method includes: obtaining a first image and a second image; and determining an association relationship between objects in the first image and objects in the second image based on surrounding information of the objects in the first image and surrounding information of the objects in the second image, where the surrounding information of one object is determined according to pixels within a set range around a bounding box of the object in the image where the object is located.

Abstract: The present disclosure provides a method and apparatus for detecting a dealing sequence, a storage medium, and an electronic device. The method includes: obtaining a video stream of a game desktop, and detecting a game card from multiple image frames included in the video stream; in response to detecting a newly added game card from at least one of the multiple image frames, determining whether the newly added game card is in a target state in which dealing ends; after it is determined that the newly added game card is in the target state in which dealing ends, determining game information corresponding to the newly added game card; and determining, based on the game information, whether a sequence of dealing the newly added game card conforms to a predetermined dealing sequence.

Abstract: The present disclosure provides a game stage switching method and apparatus, and a storage medium. The method includes: obtaining a video stream of a game desktop; detecting a target object for each of image frames included in the video stream; and in response to detecting a specific target object in at least one image frame in the video stream, switching a game progress stage at a time point corresponding to a first image frame in a plurality of continuous image frames where the specific target object is detected.

Abstract: An image recognition method includes: performing image detection on an image to be recognized to obtain at least one face detection result, at least one operational part detection result, and at least one trunk detection result, each face detection result including one face bounding box, each operational part detection result including one operational part bounding box, and each trunk detection result including one trunk bounding box; respectively combining each of the at least one trunk detection result with each face detection result, to obtain at least one first result combination; respectively combining each trunk detection result with each operational part detection result, to obtain at least one second result combination; and associating the at least one first result combination with the at least one second result combination, to obtain an association result.

Abstract: The present disclosure relates to an image processing method and apparatus, an electronic device, and a storage medium. The method includes: acquiring a first image and a first attention map of a first target object in the first image, where the first attention map indicates the position of the first target object in the first image; acquiring a second image and a second mask image of the second image, where pixel values of pixels in the second mask image are equal; and obtaining, according to first input information and second input information, a first prediction result that indicates the position of the first target object in the second image, where the first input information is determined according to the first image and the first attention map, and the second input information is determined according to the second image and the second mask image.