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English(EN) ORBIT++: Benchmarking SfM in the Wild with 360{\deg} Video

新的 ORBIT++ 基准测试挑战运动恢复结构方法

研究人员推出了 ORBIT++,这是一个旨在评估运动恢复结构 (SfM) 方法在充满挑战的真实世界条件下的新基准测试。该基准测试利用 360 度全景视频创建视角剪辑,为相机姿态估计提供更丰富的视觉上下文。初步实验表明,包括 COLMAP 以及最近的基于优化和前馈方法在内的当前 SfM 方法在 ORBIT++ 所呈现的复杂性方面面临困难。 AI

影响 该基准测试将帮助研究人员为复杂的真实世界场景开发更鲁棒的运动恢复结构方法。

排序理由 该集群描述了一个用于评估计算机视觉技术的新基准测试,该技术在一篇学术论文中提出。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新的 ORBIT++ 基准测试挑战运动恢复结构方法

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该集群描述了一个用于评估计算机视觉技术的新基准测试,该技术在一篇学术论文中提出。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Sara Sabour, Linyi Jin, Richard Tucker, Amir Hertz, Marcus Brubaker, Saurabh Saxena, Junhwa Hur, Andrea Tagliasacchi, Deqing Sun, David J. Fleet, Richard Szeliski, Noah Snavely ·

    ORBIT++:在真实场景下使用360度视频对SfM进行基准测试

    arXiv:2608.22039v1 Announce Type: new Abstract: Structure-from-Motion (SfM) is a cornerstone of 3D perception, yet current methods often fail when applied to complex videos involving challenging camera motions or dynamic scenes. Compounding the problem, the field lacks reliable g…