Laser & Optoelectronics Progress, Volume. 56, Issue 14, 141008(2019)
Convolutional Neural Network-Based Dimensionality Reduction Method for Image Feature Descriptors Extracted Using Scale-Invariant Feature Transform
Fig. 1. Reshapeschematic of SIFT feature descriptor
Fig. 2. SIFT feature descriptors after changing shape. (a) Feature descriptor; (b) feature descriptor matched with Fig. 2(a); (c) feature descriptor unmatched with Fig. 2(a)
Fig. 3. Diagram of convolutional neural network for SIFT feature descriptor dimensionality reduction
Fig. 4. Partial atlases used to test matching performance of feature descriptor
Fig. 5. Comparison of partial matching results between CNN-SIFT feature descriptor and SIFT feature descriptor in affine transformation
Fig. 6. Matching performance of feature descriptors in rotation and scale transformations
Fig. 7. Matching performance of feature descriptors in viewpoint transformation
Fig. 8. Matching performance of feature descriptors in light transformation
Fig. 9. Average matching time of feature descriptors in Webcam dataset
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Honghao Zhou, Weining Yi, Lili Du, Yanli Qiao. Convolutional Neural Network-Based Dimensionality Reduction Method for Image Feature Descriptors Extracted Using Scale-Invariant Feature Transform[J]. Laser & Optoelectronics Progress, 2019, 56(14): 141008
Category: Image Processing
Received: Jan. 14, 2019
Accepted: Feb. 21, 2019
Published Online: Jul. 12, 2019
The Author Email: Du Lili (ylqiao@aiofm.ac.cn), Qiao Yanli (lilydu@aiofm.ac.cn)