最好的两个世界:将2D图像注释重新投射到3D模型上
Marin Marcillat1, Loic Van Audenhaege1,2, Catherine Borremans1
1BEEP/LEP, Institut Français de Recherche pour l'Exploitation de la Mer, Plouzane, Bretagne, France.
PeerJ
|July 2, 2024
概括
通过新的开放访问管道,现在可以准确地将2D图像注释到3D深海模型上. 这种方法达到厘米准确度,使生态研究能够进行详细的3D景观重建.
科学领域:
- 海洋生物学 海洋生物学
- 地质地质地质地质地质地
- 计算机科学 计算机科学
- 这是一种摄影计量技术 (photogrammetry).
背景情况:
- 图像对于研究深海空间模式至关重要,机器学习的进步有助于功能注释.
- 来自3D模型的地理形态学有助于空间分布分析,但对这些模型上的2D注释的精确地理引用是具有挑战性的.
- 现有的方法在水下车辆和3D模型重建之间存在导航不匹配的问题,直接的3D模型注释受到低分辨率和大文件大小的阻碍.
研究的目的:
- 开发和验证一个精简的,开放式访问的处理管道,用于将2D图像注释地理引用到3D模型上.
- 为了解决在深海环境中精确注释反射的挑战.
- 为了实现对生态研究进行准确的3D景观重建.
主要方法:
- 一个新的处理管道,利用光线跟踪来重新投射2D图像注释到3D模型上.
- 利用四个不同的水下图像数据集进行测试和验证.
- 评估注释反射和地理引用的准确性.
主要成果:
- 将二维注释成功地转移到3D模型中,准确度达到厘米.
- 拟议的管道在多个水下图像数据集中表现出有效性.
- 该方法克服了深海环境中以前方法的局限性.
结论:
- 开发的管道为3D深海模型上的2D注释提供了一个强大的解决方案,用于准确地缘引用3D深海模型上的2D注释.
- 这种进步有助于构建详细的3D景观表示.
- 这些发现为深海物种微分布和生物相互作用提供了新的见解.
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