EL: Local Image Descriptor Based on Extreme Responses to Partial Derivatives of 2D Gaussian Function
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-09-17
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We propose a two-part local image descriptor EL (Edges and Lines), based on the strongest image responses to the first- and second-order partial derivatives of the two-dimensional Gaussian function.
Using the steering theorems, the proposed method finds the filter orientations giving the strongest image responses.
The orientations are quantized, and the magnitudes of the image responses are histogrammed.
Iterative adaptive thresholding of histogram values is then applied to normalize the histogram, thereby making the descriptor robust to nonlinear illumination changes.
The two-part descriptor is empirically evaluated on the HPatches benchmark for three different tasks, namely, patch verification, image matching, and patch retrieval.
The proposed EL descriptor outperforms the traditional descriptors such as SIFT and RootSIFT on all three evaluation tasks and the deep-learning-based descriptors DeepCompare, DeepDesc, and TFeat on the tasks of image matching and patch retrieval.
American Psychological Association (APA)
Maver, Jasna& Skočaj, Danijel. 2019. EL: Local Image Descriptor Based on Extreme Responses to Partial Derivatives of 2D Gaussian Function. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1194250
Modern Language Association (MLA)
Maver, Jasna& Skočaj, Danijel. EL: Local Image Descriptor Based on Extreme Responses to Partial Derivatives of 2D Gaussian Function. Mathematical Problems in Engineering No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1194250
American Medical Association (AMA)
Maver, Jasna& Skočaj, Danijel. EL: Local Image Descriptor Based on Extreme Responses to Partial Derivatives of 2D Gaussian Function. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1194250
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194250