Semantic Object Selection and Detection for Diminished Reality Based on SLAM with Viewpoint Class

@article{Nakajima2017SemanticOS,
  title={Semantic Object Selection and Detection for Diminished Reality Based on SLAM with Viewpoint Class},
  author={Yoshikatsu Nakajima and Shohei Mori and Hideo Saito},
  journal={2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct)},
  year={2017},
  pages={338-343}
}
We propose a novel diminished reality method which is able to (i) automatically recognize the region to be diminished, (ii) work with a single RGB-D sensor, and (iii) work without pre-processing to generate a 3D model of the target scene by utilizing SLAM, segmentation, and recognition framework. Especially, regarding the recognition of the area to be diminished, our method is able to maintain high accuracy no matter how the camera moves by distributing the viewpoints for each object uniformly… CONTINUE READING

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