EL: Local Image Descriptor Based on Extreme Responses to Partial Derivatives of 2D Gaussian Function
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 i...
Main Authors: | Jasna Maver, Danijel Skočaj |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/1247925 |
Similar Items
-
Butterfly image retrieval using differential Gaussian mixture model and vector of locally aggregated descriptors
by: CHANG, WEI-CHENG, et al.
Published: (2019) -
Gaussian Markov random field based improved texture descriptor for image segmentation
by: Dharmagunawardhana, Chathurika, et al.
Published: (2014) -
Locally Scale-Invariant Descriptor for 2D Whole-Shape and Partial-Shape Matching
Published: (2015) -
Efficient learning of local image descriptors
by: Balntas, Vassileios
Published: (2016) -
Characterisation of random Gaussian and non-Gaussian stress processes in terms of extreme responses
by: Colin Bruno
Published: (2015-01-01)