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131 results about "Object point" patented technology
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Object points are an approach used in software development effort estimation under some models such as COCOMO II.. Object points are a way of estimating effort size, similar to Source Lines Of Code (SLOC) or Function Points.They are not necessarily related to objects in Object-oriented programming, the objects referred to include screens, reports, and modules of the language.
Object grabbing method and system based on point cloud deep learning
The invention provides an object grabbing method and system based on point cloud deep learning, and the method comprises the steps: obtaining a target object point cloud of a target object, carrying out the point cloud matching of the target object point cloud through a point cloud registration model based on a deep learning network, obtaining an initial matching position, optimizing the matching position through a nearest iteration algorithm, and obtaining an optimal matching position; obtaining an accurate transformation matrix of the target object relative to the template under a camera coordinate system; based on a pre-obtained hand-eye transformation matrix, calculating a transformation relation of the point cloud attitude of the target object relative to a tool coordinate system through teaching; the hand-eye transformation matrix is used for indicating a transformation relation between a sensor coordinate system and a mechanical arm tail end coordinate system; and according to the conversion relation and the accurate transformation matrix, the grabbing position coordinates of the target object under the mechanical arm base coordinate system are solved. According to the invention, point cloud registration is carried out through the deep learning network, and the position of the target object can be determined more accurately.
Owner:SUZHOU RUIWEISHENG TECH CO LTD
Multi-level semantic map construction method based on scene recognition and target detection
PendingCN120707757ACharacter and pattern recognitionNeural learning methodsObject pointMulti modal data
The invention provides a multi-level semantic map construction method based on multi-sensor fusion, and the method carries out the construction of an environment grid layer, and comprises the steps: constructing an environment grid map in real time through fusing perception data; scene semantic layer construction: extracting image scene semantic probability distribution by using a deep convolutional network, fusing time sequence observation through Bayesian filtering, and mapping a scene category to a grid unit by using an occupation probability model; constructing an object semantic layer, namely identifying an object by adopting a target detection network in which an information aggregation-distribution mechanism is introduced, extracting an object point cloud, and dynamically updating object semantic attributes of grid units through multi-source observation fusion; and scene atlas generation: constructing a hierarchical scene atlas which takes the marker object as a reference core and comprises a spatial topological relation. According to the method, the dynamic environment adaptability and the multi-modal data fusion precision of semantic mapping are improved, a more visual environment understanding mode is provided for the robot, and the practicability of the semantic map in robot positioning and navigation is improved.
Owner:WUHAN UNIV OF SCI & TECH
Distributed exterior point cloud object detection method based on fuzzy membership degree supervision and evidence deep learning
ActiveCN119600561AImprove estimation accuracyimprove securityCharacter and pattern recognitionBiological modelsData setFeature extraction
The invention relates to the field of automatic driving, and provides an out-of-distribution point cloud object detection method based on fuzzy membership supervision and evidence deep learning. Comprising the following steps: obtaining a candidate foreground object by using a 3D target detection model; foreground object point cloud feature extraction; calculating a fuzzy membership degree based on fuzzy C-mean clustering; the fuzzy membership degree value is used as mark information, and evidence deep learning model training is carried out; and inferring an uncertain value of a foreground object by using the trained evidence deep learning model, and judging whether the object belongs to an out-of-distribution sample or not. According to the method, the fuzzy membership degree obtained by fuzzy clustering is used as supervision information, evidence deep learning is used for training on the point cloud target detection data set, and the uncertain value predicted by the evidence deep learning is used for point cloud open set target detection, so that robustness and interpretability are high; and the open set detection effect can be ensured in a large-scale sparse point cloud scene.
Owner:SHANGHAI UNIV
Optimization method for object recognition and obstacle avoidance grabbing of double-arm robot
ActiveCN119858157AProgramme-controlled manipulatorInternal combustion piston enginesDiffusion networkObject point
The invention discloses an optimization method for object recognition and obstacle avoidance grabbing of a double-arm robot, and the method comprises the steps: collecting an image of an object to be grabbed, carrying out the restoration based on a diffusion network and an image generation network, generating a point cloud, and constructing a target object point cloud model library; generating a point cloud for a to-be-grabbed object image collected in real time, performing point cloud segmentation and point cloud filtering to obtain point cloud information after filtering optimization, and performing point cloud registration with a target object point cloud model library; adopting a grabbing pose detection algorithm based on point cloud local concavity and convexity constraint and point cloud pose constraint to obtain an optimal grabbing pose; planning a motion path of the two arms of the robot based on a path planning algorithm of two-arm decoupling planning, two-way search and a target point guiding force field; and multi-range movement of the robot in the factory is planned based on a reward and punishment mechanism. The training effect of the blurred image is improved, point cloud filtering is adopted, pose constraints are improved, and the mechanical arm is helped to be effectively matched with the target object.
Owner:SOUTH CHINA UNIV OF TECH
Object point cloud reconstruction method based on guided cross-modal robot
ActiveCN119478220Aaccurate representationimprove perceptionBiological models3D modellingPoint cloudRgb image
The invention relates to an object point cloud reconstruction method based on a guided cross-modal robot, and the method comprises the steps: obtaining a depth image and a corresponding RGB image of an object under a single visual angle of the robot, carrying out the preprocessing, and obtaining the incomplete data of the point cloud of the object; a point cloud classification encoder is adopted to encode the point cloud classification task, a point cloud classification decoder is adopted to decode the point cloud classification task, and a classification result of the object is obtained; based on the object point cloud incomplete data, a point cloud data encoder is adopted to carry out position embedded coding, and point cloud features containing position codes are obtained; acquiring tactile data of an object at a single-view blind area position of the robot, and encoding the tactile data by a tactile space encoder to obtain tactile features; a visual touch cross-modal fusion module is adopted to fuse the point cloud features and the touch features, and a classification result is utilized to guide in the fusion process; and decoding the fused features by adopting a pyramid decoder to obtain a complete point cloud of the object. Compared with the prior art, the method has the advantages of high precision and the like.
Owner:TONGJI UNIV
Point cloud enhancement method and system based on polarization structure perception and trend guided recovery
The invention relates to the technical field of fringe projection three-dimensional reconstruction, in particular to a point cloud enhancement method and system based on polarization structure perception and trend guided recovery. The method comprises the following steps: acquiring a multi-angle polarization image, and generating an object area mask based on a polarization angle consistency mask, a polarization angle gradient mask and a linear polarization degree mask; obtaining an original phase diagram through four-step phase shift and complementary Gray codes, obtaining a missing region in an object according to hole distribution of the original phase diagram, and adding morphological structure indexes and local variance features to recognize a real self-shadow region; aiming at the identified real self-shadow area, establishing a structure guiding recovery model combining a first-order structure gradient guiding item and a second-order structure gradient guiding item to obtain a complete object point cloud; and separating a background and an invalid shadow in the object point cloud through the object area mask to obtain a point cloud which only retains the object area.
Owner:EAST CHINA JIAOTONG UNIVERSITY
Management system and management program
To provide a management system capable of improving convenience on a three-dimensional point group, and a management program.SOLUTION: A management system comprises: acquisition means for acquiring point group information indicative of a three-dimensional point group corresponding to the outer shape of an object provided in a three-dimensional space; identification means for identifying an object point serving as an object associating input information input by a user and corresponding to the object on the basis of the three-dimensional point group indicated by the point group information acquired by the acquisition means; and management means for performing processing for associating the object point identified by the identification means with input information. The point group information indicates at least a three-dimensional position of the three-dimensional group. The identification means identifies a gravity center corresponding to the gravity center position of the object on the basis of the three-dimensional point group indicated by the point group information acquired by the acquisition means.SELECTED DRAWING: Figure 1
Owner:TAKENAKA CORP
Manipulator grasping point training method and device based on diffusion model, and prediction method and device
The application provides a mechanical hand grabbing point training method and device based on a diffusion model, and a prediction method, wherein the process of the training method is as follows: sample object point clouds and marked label point clouds are acquired, and are recorded as label data; the label data, diffusion time and effective point indication are input into a diffusion model, and sample grabbing point groups are generated on the sample object point clouds; the label point clouds are taken as label samples, the sample object point clouds are taken as a current candidate region, and the sample grabbing point groups are taken as generated samples, which are input into a contrast learning model to perform label sample contrast and generated sample contrast, and optimal sample grabbing regions are screened out; and a group of grabbing points that are most similar to the label sample features in the optimal sample grabbing regions are taken as optimal sample grabbing points. The application has the beneficial effect that the grabbing success rate of the mechanical hand for objects with the same structure but different structures, the same shape but different materials and the like in a complex environment is effectively improved.
Owner:TIANJIN POLYTECHNIC UNIV
Three-dimensional point cloud target layered accurate extraction method based on multi-feature fusion
The invention discloses a three-dimensional point cloud target layering accurate extraction method based on multi-feature fusion, and aims to improve the precision and anti-noise capability of target object extraction and effectively restore detail features. The method comprises the following steps of data preprocessing, hierarchical processing, feature extraction, AOI extraction and restoration processing. By adopting voxel-based downsampling and combining hierarchical processing and threshold screening methods, noise points of non-target objects are effectively distinguished and removed, and efficient extraction of target object point clouds in a complex scene is realized; in order to ensure the detail integrity of the target object, a point cloud restoration step is designed, detail restoration is carried out on the target object after crude extraction in an index search and neighborhood query mode, and subtle information possibly lost in downsampling is supplemented; according to the innovation, the target object is accurately extracted while the miscellaneous points are efficiently removed, the point cloud extraction precision of the target object is greatly improved, and the point cloud data processing requirements in a complex environment are met.
Owner:NANJING UNIV OF POSTS & TELECOMM
METHOD, DEVICE, CONTROL UNIT, VEHICLE AND MEDIUM FOR THREE-DIMENSIONAL (3D) OBJECT DETECTION
PendingDE102024211489A1Geometric image transformationScene recognitionPoint cloudComputer graphics (images)
The embodiments of the present disclosure relate to a method, an apparatus, a controller, a vehicle, and a medium for three-dimensional (3D) object detection. The method includes retrieving a detection point cloud for a target 3D scene, the detection point cloud including a plurality of detection points for a plurality of object points in the target 3D scene. The method further includes generating at least one shadow point based on an offset operation of the plurality of detection points. The method further includes detecting objects in the target 3D scene based on the plurality of detection points and at least one shadow point.According to the method of the embodiments of the present disclosure, it is possible to generate shadow points by an offset operation based on the original detection points in order to prevent or reduce information loss in 3D object detection and thus improve the accuracy of 3D object detection.
Owner:ROBERT BOSCH GMBH
Robot grabbing control method and device, computer equipment, readable storage medium and program product
The invention relates to a robot grabbing control method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring an object image and a depth image collected for a capture area; generating three-dimensional point cloud information of the capture area based on the depth image; for each grabbed object, carrying out grabbed point prediction based on the object point cloud information and the object information of the grabbed object to obtain a plurality of grabbed points predicted for the grabbed object and respective grabbed point information of each grabbed point; for each grabbing point, carrying out information comparison on the grabbing point information of the grabbing point and other point cloud information, and taking the grabbing point of which the comparison result meets a comparison condition as a target grabbing point; and executing a grabbing operation according to the target grabbing point information of the target grabbing point. By adopting the method, the grabbing accuracy can be improved.
Owner:SHENZHEN HANS ROBOT CO LTD
A method and device for recovering a history version of a multi-version function, and a storage medium
The present application relates to a kind of multi-version function recovery historical version method, device and storage medium.Recover the version number of the target version object pointed to, according to version number and object name by key value index to find the basic information of corresponding target actual object data, modify the modification time in the basic information of target actual object data as current time, the state of current latest version in the basic information of target actual object data is modified to be;Find the object logic head with object name as key, modify the actual version object pointed to by object logic head as target version object, set the state of current latest version in the basic information of actual version object originally pointed to by object logic head as false, indicating that actual version object originally pointed to is no longer current latest version;In data pool, modify the version number of object recorded in data total head additional attribute to the version number of target version object, realize multi-version function recovery historical version.
Owner:JINAN INSPUR DATA TECH CO LTD
Code processing method and device, electronic equipment, storage medium and computer program product
The invention discloses a code processing method and device, electronic equipment, a storage medium and a computer program product. The method comprises the steps that an original code is obtained, the original code is used for declaring that one or more quantum bits are written into a pointer array, the pointer array comprises one or more pointers, and the one or more pointers are used for pointing to the one or more quantum bits; determining the type of the pointer array and the name of the one or more quantum bits by using the original code; constructing an object array by using the type of the pointer array and the name of the one or more quantum bits, the object array being used for pointing to the one or more quantum bits; and replacing the pointer array with the object array to obtain a compiled intermediate code. According to the technical scheme, in the code compiling process, the pointers of the pointer array are replaced with the specific objects pointed by the pointers, and the processing efficiency when the objects associated with the pointer array are called subsequently can be improved.
Owner:CHINA MOBILE (SUZHOU) SOFTWARE TECH CO LTD +1
Method, device and electronic equipment for measuring business risk
The application discloses a business risk measurement method, and belongs to the computer field. The method comprises the following steps: obtaining a text map picture and a satellite map picture of a target enterprise; obtaining a target text on the text map picture and a target object on the satellite map picture; matching the target text and the target object to determine whether the target text and the target object point to the same thing; if the target text and the target object point to the same thing, obtaining a first type to which the thing belongs; if the target text and the target object point to different things, obtaining a second type to which the target text belongs and a third type to which the target object belongs; and obtaining a business risk assessment result for the target enterprise according to at least one of the first type to which the thing belongs, the second type to which the target text belongs and the third type to which the target object belongs.
Owner:PEOPLE'S INSURANCE COMPANY OF CHINA
Model training method, object recommendation method, device, equipment, medium and product
The embodiment of the invention discloses a model training method and device, an object recommendation method and device, equipment, a medium and a product. A specific embodiment of the method comprises the steps of obtaining a target training sample; inputting the user behavior feature information into an initial user interest information generation model to generate initial user interest information; generating initial interest intensity information by utilizing an initial interest intensity information generation model; generating initial object click information; and according to the initial interest intensity information, the initial object click information and the object click tag, performing model training on the initial user interest information generation model and the initial interest intensity information generation model to generate the user interest information generation model and the initial interest intensity information generation model. The embodiment is related to artificial intelligence, the user interest information generation model and the interest intensity information generation model can be utilized, and object recommendation can be more accurately achieved on the basis of the generated interest intensity information.
Owner:BEIJING WODONG TIANJUN INFORMATION TECH CO LTD
Target path change system for accessory devices
A target path changing system for an accessory device is provided, which can improve work efficiency of an operation to change a target path of a specific portion of the accessory device. An object point selection unit (15) is configured to allow an operator to select one of target points (72) as a change object point (73). A range setting unit (15) is configured to set a movable range (E) in which the change object point (73) is movable. An object point moving unit (15) allows the operator to move the change object point (73) within the movable range (E). A target path resetting unit (15) is configured to reset the target path (71a) between a change start point (74) and a change end point (75) so that the target path (71) passes through a post-change object point (73a).
Owner:KOBELCO CONSTR MASCH CO LTD
Information processing apparatus and program
To adjust the advantage of a combination of a plurality of objects selected by a player in the progress of a play according to a use state.SOLUTION: The information processing device includes a use frequency acquisition unit configured to acquire a use frequency of each object, the use frequency being determined based on the number of times an object usable in a play is selected by a player, a point setting unit configured to set a point of each object based on the use frequency, and a parameter value determination unit configured to determine at least one parameter value related to progress of a play of the player based on a point of one or more objects satisfying a predetermined condition among a plurality of objects selected by the player.SELECTED DRAWING: Figure 3
Owner:MIXI INC
A method for object point cloud reconstruction based on guided cross-modal robot
The present invention relates to a method for reconstructing object point clouds based on a guided cross-modal robot. The method comprises: obtaining a depth image and a corresponding RGB image of an object from a single perspective of the robot, performing preprocessing to obtain incomplete point cloud data for the object; encoding the point cloud classification task using a point cloud classification encoder, and decoding the result using a point cloud classification decoder to obtain the object classification result; performing position embedding encoding based on the incomplete point cloud data using a point cloud data encoder to obtain point cloud features containing position encoding; obtaining tactile data of the object in the blind spot of the robot's single perspective, encoding the data using a tactile space encoder to obtain tactile features; fusing the point cloud features and tactile features using a visual-tactile cross-modal fusion module, and using the classification results for guidance during the fusion process; and decoding the fused features using a pyramid decoder to obtain a complete point cloud for the object. Compared with existing technologies, the present invention has the advantages of higher accuracy.
Owner:TONGJI UNIV
Point cloud data processing apparatus, point cloud data processing method, and program
A point cloud data processing apparatus 11 includes a processor configured to acquire first form information that indicates a feature of a form of a first object, specify an object region of a second object that is identified from an image and that corresponds to the first form information, select second-object point cloud data, in point cloud data, that corresponds to the object region, on the basis of the object region, acquire second form information that indicates a feature of a form of the second object, on the basis of the second-object point cloud data, and compare the first form information with the second form information and perform determination as to whether the second object is the first object.
Owner:FUJIFILM CORP
Object pose recognition method and device, computer device and storage medium
The application relates to an object pose recognition method and device, computer equipment, a storage medium and a computer program product. The method is applied to an automatic guided vehicle and comprises the following steps: dividing point cloud data into multiple point group data; determining a point group difference value between a pose recognition parameter of each point group data and a historical point cloud cumulative value; selecting object point group data, in which a point group difference value meets an object contour condition, from each point group data; determining object pose reference lines in different directions according to the object point group data, and determining the pose of the object point group data relative to the automatic guided vehicle through the object pose reference lines. The object pose can be more accurately recognized by using the method.
Owner:CHINA TELECOM CORP LTD TECHNOLOGY INNOVATION CENTER +1
Multi-size object-oriented dual-hand dexterous grasping data synthesis and grasping generation method and system and robot
The application discloses a kind of dual-hand dexterous grasping data synthesis and grasping generation method, system and robot for multi-size object.Data synthesis method is: local grasping area is constructed on object surface, target area pair is determined and posture is initialized after geometric screening and mechanical stability evaluation;Decoupling optimization objective function including local force closure, contact distance and area consistency term is constructed, and left and right hand postures are decoupled and optimized;Feasible sample is screened and motion trajectory is generated by collision detection and inverse kinematics solution, and large-scale data set is constructed.Grasping generation method is: based on object point cloud cooperative prediction master-slave grasping perspective;Scale self-adaptive grasping anchor point is determined;Local features and global features are fused to construct conditional features;Generation model is used to generate dual-hand coordinated grasping posture in the form of pose increment relative to anchor point.The application significantly improves data generation efficiency and quality, and enhances the generalization ability of model to multi-size object and the executability of grasping.
Owner:SUN YAT SEN UNIV
Dense Reconstruction Method, System and Storage Medium for Static Environment and Dynamic Objects
The present invention discloses a method, system and medium for dense reconstruction of a static environment and dynamic objects. The method includes: performing instance segmentation on the input image; extracting and matching first feature points on the static image to calculate the initial pose of the camera; extracting and tracking second feature points on the instance image to calculate the initial relative pose of the dynamic object; performing tightly coupled non-linear optimization on the constraint relationships of the pose of the camera, the relative pose of the dynamic object, the coordinates of the first feature points and the coordinates of the second feature points; obtaining a depth map through depth estimation of the input image and performing preprocessing; establishing a dense point cloud map for the static environment; screening the object point cloud fragments, and transforming the retained point cloud fragments to the reference fragment for fusion, so as to densely reconstruct the dynamic object. By inputting binocular images, the present invention can output a dense reconstruction point cloud map of a static environment and dynamic objects, and the whole process is automatically processed, having the characteristics of high precision, less ghosting and noise, and good robustness.
Owner:SOUTH CHINA UNIV OF TECH +1
Apparatus for generating shape data of object and method for generating shape data of object
The invention relates to an apparatus for generating shape data of an object and a method for generating shape data of an object. A computer device (1) is provided with: a first arithmetic unit (10) that outputs a numerical value obtained on the basis of coordinate values of object points indicating the positions of each part of the shape of an object; and a second calculation means (20) that, when a numerical value is input, outputs coordinate values of object points indicating the positions of the respective parts of the shape of the object and physical quantities at the respective object points such that coordinate values of learning object points indicating the shape of the learning object match the coordinate values of the object points output by the second calculation means. The second arithmetic unit learns the physical quantity output by the second arithmetic unit so as to satisfy an equation indicating the physical law that the physical quantity should satisfy, and the learned second arithmetic unit outputs the coordinate value of the object point and the physical quantity following the physical law on the basis of the input numerical value.
Owner:TOYOTA JIDOSHA KK
Method for determining a prediction model and related apparatus
Owner:TENCENT TECHNOLOGY (SHENZHEN) CO LTD
A point cloud processing method, apparatus, computing device, and storage medium
This disclosure provides a point cloud processing method, apparatus, computing device, and storage medium. The point cloud processing method includes: acquiring object states in an initial point cloud frame; extracting object point clouds from the initial point cloud frame based on the object states; calculating a shape code of the initial point cloud frame based on a shape model and the object point clouds in the initial point cloud frame, wherein the shape code is used to characterize the surface shape of the object; and calculating the object states and / or shape codes of corresponding objects in other point cloud frames of the point cloud sequence based on the shape code and object states of the initial point cloud frame. Embodiments of this disclosure combine object tracking and shape reconstruction based on a shape model, improving the accuracy of object tracking and the fidelity of shape reconstruction.
Owner:BEIJING TUSEN ZHITU TECH CO LTD
A method for processing visual tracking of a flexible linear object with partial occlusion
The present application belongs to the field of visual tracking technology, and discloses a kind of processing existing partial occlusion flexible linear object visual tracking method, based on RGB-D camera obtains color image and depth image data, from first frame image, by mask segmentation, skeletonization processing operation generates initial state point, in each subsequent frame, object point cloud is generated by mask in conjunction with depth image;Then, the density of its surrounding current point cloud is counted, and the state point is marked as "visible" or "occlusion";By establishing the analytical model based on the spatiotemporal continuity of flexible linear object, the closed form solution of the occlusion position is derived, and the iterative optimization process of the occlusion position is eliminated, thereby reducing the computational complexity and achieving efficient real-time tracking;Meanwhile, using the inherent spatiotemporal geometric evolution law of flexible linear object, a position estimation model that can be directly analytically solved is constructed, avoiding the stability risk brought by iterative optimization, and significantly improving the reliability and tracking stability of the occlusion position estimation.
Owner:HUAZHONG UNIV OF SCI & TECH +1
Automatic Optimization Method and Device for 3D Box Labels in 4D Dynamic Object Interactive Annotation
ActiveCN120580696BScene recognitionThree-dimensional object recognitionComputer graphics (images)Object point
This application discloses an automatic optimization method and apparatus for 3D bounding box labels in 4D dynamic object interactive annotation, comprising: acquiring all key 3D bounding boxes and their corresponding dynamic object point sets, and all interpolated 3D bounding boxes and their corresponding dynamic object point sets in a dynamic object sequence under a global coordinate system; calculating the principal directions of the two dynamic object point sets and calculating their differences, adjusting the direction of the interpolated 3D bounding boxes according to the differences to obtain the interpolated 3D bounding boxes with optimized directions; calculating the density distribution characteristics and geometric distance distribution characteristics of the interpolated 3D bounding boxes and key 3D bounding boxes and their corresponding dynamic object point sets, and constructing a composite loss function; iteratively optimizing the center point position of the interpolated 3D bounding boxes with optimized directions, fusing the composite loss function in each iteration to obtain the optimal center point position of the interpolated 3D bounding boxes, and then updating the center point position. Compared with previous solutions, this invention significantly improves the accuracy of interpolated 3D bounding boxes and further reduces manual workload.
Owner:MOLAR INTELLIGENCE INFORMATION TECHNOLOGY (HANGZHOU) CO LTD
A method for predicting 3D human-object interaction elements based on first-person video
ActiveCN119625588BBiometric pattern recognitionThree-dimensional object recognitionHead movementsFirst person
This invention discloses a method for predicting three-dimensional human-object interaction elements based on first-person perspective videos. The method comprises the following steps: 1. extracting first-person video features, object point cloud features, and head motion features; 2. calculating interaction concept features from the object point cloud; 3. calculating subject interaction intention features; 4. decoding object affordances, human contact features, and interaction semantics; and 5. constructing and training a loss supervision function. This method comprehensively considers the correlation between subject interaction intention and object interaction concepts in first-person interactions, thereby accurately predicting three-dimensional human-object interaction elements from a first-person perspective.
Owner:UNIV OF SCI & TECH OF CHINA
Three-dimensional person-object interaction element prediction method based on first person video
ActiveCN119625588Aimprove accuracyBiometric pattern recognitionThree-dimensional object recognitionHead movementsHuman body
The invention discloses a three-dimensional human-object interaction element prediction method based on a first-person view angle video. The method comprises the following steps: 1, extracting features of a first-person video, point cloud features of an object and head motion features; 2, calculating interaction concept features of the object point cloud; 3, calculating main body interaction intention features; 4, decoding object accessibility, human body contact features and interaction semantics; and 5, constructing and training a loss supervision function. According to the method, the relevance between the subject interaction intention and the object interaction concept in the first person interaction is comprehensively considered, so that the three-dimensional person-object interaction elements under the first person perspective can be accurately predicted.
Owner:UNIV OF SCI & TECH OF CHINA