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arXiv · 1805.03081

Active Object Reconstruction Using a Guided View Planner

Xin Yang·Yuanbo Wang·Yaru Wang·Baocai Yin·Qiang Zhang·Xiaopeng Wei·Hongbo Fu
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Abstract

Inspired by the recent advance of image-based object reconstruction using deep learning, we present an active reconstruction model using a guided view planner. We aim to reconstruct a 3D model using images observed from a planned sequence of informative and discriminative views. But where are such informative and discriminative views around an object? To address this we propose a unified model for view planning and object reconstruction, which is utilized to learn a guided information acquisition model and to aggregate information from a sequence of images for reconstruction. Experiments show that our model (1) increases our reconstruction accuracy with an increasing number of views (2) and generally predicts a more informative sequence of views for object reconstruction compared to other alternative methods.

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Xin Yang, Yuanbo Wang, Yaru Wang, Baocai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu. 2018-05-08. Active Object Reconstruction Using a Guided View Planner. https://arxiv.org/abs/1805.03081

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