Active Implicit Object Reconstruction Using Uncertainty Guided Next

Active Implicit Object Reconstruction Using Uncertainty Guided Next Abstract: actively planning sensor views during object reconstruction is crucial for autonomous mobile robots. an effective method should be able to strike a balance between accuracy and efficiency. In this paper, we propose a seamless integration of the emerging implicit representation with the active reconstruction task. we build an implicit occupancy field as our geometry proxy.

Active Implicit Object Reconstruction Using Uncertainty Guided Next Active implicit object reconstruction using uncertainty guided next best view optimization. in this work, we propose a seamless integration of the emerging implicit representation with the active reconstruction task. we build an implicit occupancy field as our geometry proxy. This letter proposes a seamless integration of the emerging implicit representation with the active reconstruction task, and aims to find the next best view (nbv) on a continuous manifold by leveraging the differentiability of the implicit representation. We propose a next best view (nbv) algorithm that determines each view to reconstruct an arbitrary object. furthermore, we propose a method to deal with the uncertainty in sensor positioning. Simulation and real world experiments demonstrate that our approach effectively improves reconstruction accuracy and efficiency of view planning in active reconstruction tasks.

Active Implicit Object Reconstruction Using Uncertainty Guided Next We propose a next best view (nbv) algorithm that determines each view to reconstruct an arbitrary object. furthermore, we propose a method to deal with the uncertainty in sensor positioning. Simulation and real world experiments demonstrate that our approach effectively improves reconstruction accuracy and efficiency of view planning in active reconstruction tasks. Existing algorithms compare options among a set of preset candidate views and select the next best view from them. in contrast to these, we take the emerging implicit representation as the object model and seamlessly combine it with the active reconstruction task. 【图 文 闫栋宇、刘健恒】在该工作中，我们创新性地将神经隐式三维表达与主动重建进行了有机结合，提出了一种基于最佳视图（nbv, next best view）的主动隐式重建算法。. Experiments in simulations and real world scenes show that our method effectively improves the reconstruction accuracy and the view planning efficiency of active reconstruction tasks.

Ra L2023 Active Implicit Object Reconstruction Using Uncertainty Existing algorithms compare options among a set of preset candidate views and select the next best view from them. in contrast to these, we take the emerging implicit representation as the object model and seamlessly combine it with the active reconstruction task. 【图 文 闫栋宇、刘健恒】在该工作中，我们创新性地将神经隐式三维表达与主动重建进行了有机结合，提出了一种基于最佳视图（nbv, next best view）的主动隐式重建算法。. Experiments in simulations and real world scenes show that our method effectively improves the reconstruction accuracy and the view planning efficiency of active reconstruction tasks.

Ra L2023 Active Implicit Object Reconstruction Using Uncertainty Experiments in simulations and real world scenes show that our method effectively improves the reconstruction accuracy and the view planning efficiency of active reconstruction tasks.

Ra L2023 Active Implicit Object Reconstruction Using Uncertainty