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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.

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Combining Local Descriptors for 3D Object Recognition and Categorization

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  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.

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