Panoramic image generation method, system, device and medium

By generating a spherical surface model using a CPU and rendering it using a single GPU, the high load and low efficiency problems of panoramic image generation in existing technologies are solved, achieving efficient and real-time panoramic image generation and improving the integrity and consistency of images.

CN122415944APending Publication Date: 2026-07-17INTELLIGENT BODY TECHNOLOGY (BEIJING) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
INTELLIGENT BODY TECHNOLOGY (BEIJING) CO LTD
Filing Date
2026-04-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies use GPUs for hexahedral rendering when generating panoramic images, resulting in high load and low efficiency, making it difficult to meet real-time requirements, and there is also the problem of inconsistent sampling at seams.

Method used

The CPU generates a spherical surface model, which is then discretized into a triangular mesh. Each mesh vertex contains global 2D texture coordinates and projected texture coordinates and target weights relative to each camera. A single GPU is used for single rendering, and combined with a unified camera model and sector partitioning, a panoramic image is generated.

Benefits of technology

It effectively reduces GPU rendering load by 83%, improves panoramic image generation efficiency, enables high frame rate and low latency real-time panoramic image generation, and enhances image integrity and consistency.

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Abstract

本公开提供了一种全景图像生成方法、系统、设备及介质,该方法应用于包含中央处理器CPU和图形处理器GPU的计算机设备,该方法包括:通过CPU基于球面曲面的配置参数和足式机器人上多个相机的位置信息,生成球面曲面模型;通过GPU将各个网格顶点的全局二维纹理坐标映射为归一化设备坐标并确定渲染区域;针对每个三角网格,通过GPU利用网格顶点相对于每个相机的投影纹理坐标和目标权重,得到各个像素相对于每个相机的投影纹理坐标和目标权重;通过GPU在渲染区域内,将各像素相对于每个相机的投影纹理坐标转换为颜色参数并基于目标权重进行加权求和,生成全景图像。这样通过单个GPU进行单次渲染即可实现全景图像的生成,有效降低负载,提高全景图像生成效率。
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