Name
Title | ||
|---|---|---|
Semantic Object Selection and Detection for Diminished Reality Based on SLAM with Viewpoint Class |
Abstract | ||
|---|---|---|
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 and aggregating recognition results from each distributed viewpoint as the same weight. These advantages are demonstrated on the UW RGB-D Dataset and Scenes. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ISMAR-Adjunct.2017.98 | 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct) |
Keywords | Field | DocType |
Diminished Reality,Object Recognition,Convolutional Neural Network,SLAM,Segmentation | Computer vision,Viewpoints,Computer science,Convolutional neural network,Segmentation,Image segmentation,Solid modeling,RGB color model,Artificial intelligence,Simultaneous localization and mapping,Cognitive neuroscience of visual object recognition | Conference |
ISBN | Citations | PageRank |
978-1-5386-1454-9 | 0 | 0.34 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshikatsu Nakajima | 1 | 12 | 2.65 |
| Shohei Mori | 2 | 23 | 11.00 |
| Hideo Saito | 3 | 1147 | 169.63 |