BriefGPT.xyz
Sep, 2019
学习的语义多传感器深度图融合
Learned Semantic Multi-Sensor Depth Map Fusion
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Denys Rozumnyi, Ian Cherabier, Marc Pollefeys, Martin R. Oswald
TL;DR
通过神经网络重建,将基于截断有符号距离函数的三维重建方法从多个方面进行了推广,包括语义信息的丰富、多传感器数据融合、场景去噪与完整以及专家系统整合。
Abstract
volumetric depth map fusion
based on truncated signed distance functions has become a standard method and is used in many 3D reconstruction pipelines. In this paper, we are generalizing this classic method in multiple ways: 1) Semantics:
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