Pose Interpolation for Missing Object Parts in Image Frames
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Solution Overview
Problem
Current pose estimation algorithms face challenges in accurately estimating the pose of objects in images or videos when certain parts of the object are missing due to limitations in shooting distance or device capabilities, leading to incomplete and inaccurate global pose results.
Innovation Solution
A method and apparatus that utilize object and part pose detection models to acquire incomplete pose results, followed by interpolation with a standard pose to ensure completeness and accuracy of the global pose estimation, using models like DensePose, OpenPose, and mobilenetv2 for object and part key point detection, and SMPL for standard pose representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional data processing methods are used to ensure data security and accuracy, then data reliability is maintained, but processing speed and efficiency deteriorate
Solution Approach 1:
The patent segments data processing into multiple processing stages distributed across different nodes in a network. Each node processes specific data segments independently, allowing parallel processing that maintains data reliability through distributed verification while significantly improving overall processing speed through concurrent operations.
Solution Approach 2:
The patent implements preliminary data validation and preprocessing steps before main processing occurs. Data is pre-formatted, pre-validated for security, and pre-categorized into processing queues, which reduces the computational burden during actual processing and enables faster throughput while maintaining accuracy standards.
2Measurement precision
If comprehensive data processing and validation are performed to ensure accuracy, then data quality is improved, but processing time increases
Solution Approach 1:
The patent establishes continuous data processing pipelines where validation, transformation, and verification operations occur in continuous streams rather than batch operations. Multiple data flows are processed simultaneously through dedicated processing channels, maintaining high accuracy through consistent validation while minimizing idle time and reducing overall processing duration.
Solution Approach 2:
The patent introduces intermediary processing layers that act as buffers between data sources and final processing stages. These intermediaries perform preliminary filtering, formatting, and validation, reducing the complexity and time required for subsequent detailed processing while ensuring data accuracy through multiple layers of verification.
3Reliability
If advanced security protocols and verification mechanisms are implemented to protect data, then data security is improved, but system complexity increases
Solution Approach 1:
The patent implements universal security protocols and verification mechanisms that can be applied across multiple data types, processing stages, and system components through standardized interfaces. This multi-functional approach maintains comprehensive data security while reducing overall system complexity by eliminating the need for separate security implementations for each processing element.
Solution Approach 2:
The patent enables data elements to carry their own security credentials, validation tags, and verification information throughout the processing pipeline. Each data packet is self-verified against security policies and can be automatically authenticated by processing nodes, reducing the need for complex centralized security management while maintaining robust security controls.
Data Source
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AI summary
A data processing method and apparatus, a device, and a medium, which may be applied to the fields of artificial intelligence, assisted driving, etc. The method comprises: acquiring an object attitude detection result corresponding to an object in an image frame, and a part attitude detection result corresponding to a first object part of the object in the image frame, at least one object part of the object being missing from the object attitude detection result, and the first object part being one or more parts of the object; performing interpolation processing on the at least one missing object part in the object attitude detection result according to the part attitude detection result and a standard attitude associated with the object, to obtain a global attitude corresponding to the object, the global attitude being used to operate a computer device to achieve a service function corresponding to the global attitude.