SLAM Key-Frame Optimization for Real-Time Mobile Rendering

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Solution Overview

Problem

Filter-based SLAM systems provide inaccurate camera pose information, while feature-point-based SLAM systems incur high computational overhead, making real-time image processing on mobile terminals challenging.

Innovation Solution

An image rendering method that determines key frames within a key frame group, updates the group based on a preset frame number and current frame, and optimizes key frames to enhance spatial positioning accuracy and reduce computational overhead.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If feature-point-based SLAM system is used to extract and match feature points, then spatial positioning accuracy is improved, but computational overhead increases and real-time processing becomes difficult

Engineering Contradiction:

Improvespatial positioning accuracyVSAvoidimage processing speed

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent extracts only the essential key frames from the complete image sequence rather than processing all frames. By selecting key frames based on preset criteria (frame number, motion threshold), the system reduces the amount of data to process while maintaining sufficient spatial positioning accuracy through the optimized key frame group.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the continuous image stream into discrete key frames and non-key frames. This segmentation allows the system to process only the critical frames (key frames) for spatial positioning while skipping redundant frames, thereby reducing computational overhead and enabling real-time processing on mobile terminals.

Inventive Principle:

Principle #1Segmentation

2Duration of action of stationary object

If filter-based SLAM system is used for long period capture, then continuous processing is enabled, but camera pose information accuracy deteriorates

Engineering Contradiction:

Improvecontinuous capture durationVSAvoidcamera pose information accuracy

Core Design Contradiction:

Duration of action of stationary objectVSMeasurement precision

Solution Approach 1:

The patent implements a feedback mechanism where the system continuously monitors frame characteristics (motion threshold, frame number) and adjusts key frame selection dynamically. This feedback loop ensures that only accurate and representative frames are selected for spatial positioning, maintaining high accuracy over extended capture periods while enabling continuous processing.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250308062A1Image rendering method and apparatus, electronic device, and storage medium

Publication Date: 2025.10.02 BEIJING ZITIAO NETWORK TECH CO LTD

AI summary

Embodiments of the present disclosure provide an image rendering method and apparatus, an electronic device, and a storage medium. The method includes: determining whether a received current frame is a key frame based on a key frame group to be updated located by a simultaneous localization and mapping system, the key frame group to be updated including at least one key frame to be applied; in response to determining that the received current frame is a key frame, updating the key frame group to be updated according to a preset frame number and the current frame to obtain an updated key frame group to be updated; and optimizing a key frame to be applied in the updated key frame group to be updated, and updating a relative pose of the key frame to be applied, so as to perform image rendering based on an updated relative pose.