Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6867137 | Robotics and Autonomous Systems | 2018 | 15 Pages |
Abstract
Performance evaluation on RGB-D sequences collected in this work and two public RGB-D datasets: TUM and ICL-NUIM show the benefit of using the proposed depth fusion framework and combining the three feature-types, particularly in scenes with low-textured surfaces, dynamic objects and missing depth measurements.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Pedro F. Proença, Yang Gao,