1 / 12

Combining Local Descriptors for 3D Object Recognition and Categorization

Combining Local Descriptors for 3D Object Recognition and Categorization. Author :Andrea Selinger Salgian Department of Computer Science The College of New Jersey date:2009/02/23 repoter ：鄒嘉恆. Introduction.

judah
Télécharger la présentation

Combining Local Descriptors for 3D Object Recognition and Categorization

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Combining Local Descriptors for 3D Object Recognition and Categorization Author :Andrea SelingerSalgian Department of Computer Science The College of New Jersey date:2009/02/23 repoter：鄒嘉恆

  2. Introduction • Combine keyed context patches and SIFT to significantly reduce the error rate on recognition and categorization.

  3. Outline • The descriptors • Keyed context patches • SIFT • Experimental results • Object recognition • Object categorization • Conclusion

  4. Keyed context patches

  5. SIFT(1/5) • Scale-space extrema detection

  6. SIFT(2/5) • Keypoint localization • Elimination low contrast • Elimination edge response

  7. SIFT(3/5) • Orientation assignment

  8. SIFT(4/5) • Keypoint descriptor extraction

  9. SIFT(5/5)

  10. Experimental results(1/2) • Object recognition

  11. Experimental results(2/2) • Object categorization

  12. Conclusion • Confirm that the performance of the descriptor combination is higher than that of either of the descriptors alone.

More Related