Loading...
Please wait, while we are loading the content...
Similar Documents
A PCA–CCA network for RGB-D object recognition
| Content Provider | SAGE Publishing |
|---|---|
| Author | Sun, Shiying An, Ning Zhao, Xiaoguang Tan, Min |
| Copyright Year | 2018 |
| Abstract | Object recognition is one of the essential issues in computer vision and robotics. Recently, deep learning methods have achieved excellent performance in red-green-blue (RGB) object recognition. However, the introduction of depth information presents a new challenge: How can we exploit this RGB-D data to characterize an object more adequately? In this article, we propose a principal component analysis–canonical correlation analysis network for RGB-D object recognition. In this new method, two stages of cascaded filter layers are constructed and followed by binary hashing and block histograms. In the first layer, the network separately learns principal component analysis filters for RGB and depth. Then, in the second layer, canonical correlation analysis filters are learned jointly using the two modalities. In this way, the different characteristics of the RGB and depth modalities are considered by our network as well as the characteristics of the correlation between the two modalities. Experimental results on the most widely used RGB-D object data set show that the proposed method achieves an accuracy which is comparable to state-of-the-art methods. Moreover, our method has a simpler structure and is efficient even without graphics processing unit acceleration. |
| Related Links | https://journals.sagepub.com/doi/pdf/10.1177/1729881417752820?download=true |
| ISSN | 17298806 |
| Issue Number | 1 |
| Volume Number | 15 |
| Journal | International Journal of Advanced Robotic Systems (ARX) |
| e-ISSN | 17298814 |
| DOI | 10.1177/1729881417752820 |
| Language | English |
| Publisher | Sage Publications UK |
| Publisher Date | 2018-01-17 |
| Publisher Place | London |
| Access Restriction | Open |
| Rights Holder | © The Author(s) 2018 |
| Subject Keyword | 3D perception canonical correlation analysis Object recognition PCANet deep learning |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Computer Science Applications Software |
