AI 中文总结
针对帧预算紧张时现有主动3D高斯重建方法易漏重建物体的问题，提出OccamView框架，通过物体条件视角选择与Geo-Floor机制优化规划，在多数据集上提升了重建表现。
AI 中文摘要
主动式3D高斯重建（Active 3D Gaussian reconstruction）的核心在于在有限感知预算下选择信息量充足的下一个最优视角。现有的主动式3DGS方法主要依据几何信息增益规划视角，将物体导致的隐藏区域与一般未探索空间同等对待。在帧预算紧张的情况下，这类几何驱动策略可能优先覆盖全局场景，导致部分观测物体的重建不完整。为解决这一局限，我们提出了OccamView，一种面向帧预算约束下主动式3D高斯重建的物体条件视角选择框架。OccamView不预测未观测物体几何或执行形状补全，而是基于实测RGB-D观测的开放词汇检测结果维护在线物体记忆，并将检测物体周围未解决的局部占据表示为保守隐藏区域代理。随后，采用感知遮挡的代理覆盖分数评估候选视角。此外，我们引入Geo-Floor机制，将物体条件重排序限制在几何上具有竞争力的候选中，使物体条件线索能引导互补观测，同时保留底层规划器的几何驱动探索行为。在Replica和Matterport3D数据集上采用统一的帧预算协议开展实验，结果显示OccamView在5种帧预算下均能持续降低完成度（Completion）并提升完成率（Completion Ratio），在帧预算有限时增益尤为显著。这些结果表明，轻量级物体条件线索可有效补充几何驱动的主动视角规划。
英文摘要
Active 3D Gaussian reconstruction fundamentally relies on selecting informative next-best views under limited sensing budgets. Existing active 3DGS methods primarily plan viewpoints according to geometric information gain, treating object-induced hidden regions in the same manner as general unexplored space. Under tight frame budgets, such geometry-driven strategies may prioritize global scene coverage while leaving partially observed objects incompletely reconstructed. To address this limitation, we propose OccamView, an object-conditioned view-selection framework for frame-budgeted active 3D Gaussian reconstruction. Rather than predicting unseen object geometry or performing shape completion, OccamView maintains an online object memory from open-vocabulary detections grounded in measured RGB-D observations and represents unresolved local occupancy around detected objects as conservative hidden-region proxies. Candidate viewpoints are then evaluated using an occlusion-aware proxy-coverage score. Furthermore, we introduce a Geo-Floor mechanism that restricts object-conditioned re-ranking to geometrically competitive candidates, allowing object-conditioned cues to guide complementary observations while preserving the geometry-driven exploration behavior of the underlying planner. Experiments on Replica and Matterport3D under a unified frame-budgeted protocol show that OccamView consistently reduces Completion and improves Completion Ratio across five frame budgets, with particularly pronounced gains under limited frame budgets. These results demonstrate that lightweight object-conditioned cues effectively complement geometry-driven active view planning.
Comments10 pages, 5 figures
