THE FOURIER TRANSFORM BASED DESCRIPTOR FOR VISUAL OBJECT CLASSIFICATION
Most of the state-of-arts visual object classification methods use image representations such as bag of words (BoW) or Fisher vector (FV) models, which are built depend on encoding local features. In that context, local patches sampled from images are represented by different shape and texture descr...
Main Authors: | Hakan CEVIKALP, Zuhal KURT |
---|---|
Format: | Article |
Language: | English |
Published: |
Anadolu University
2017-03-01
|
Series: | Anadolu University Journal of Science and Technology. A : Applied Sciences and Engineering |
Online Access: | http://dergipark.gov.tr/aubtda/issue/28283/300419?publisher=anadolu |
Similar Items
-
Lip Classification Using Fourier Descriptors
by: Chung-Yen Lai, et al.
Published: (2011) -
2D Object Recognition System Based on Wavelet Descriptors and Fourier Descriptors
by: 趙仁宏
Published: (2000) -
Fourier Descriptors Based Expert Decision Classification of Plug Seedlings
by: Yanhu He, et al.
Published: (2019-01-01) -
Classification of digitized curves represented by signatures and Fourier descriptors
by: El Buaeshi, Hussein S.
Published: (1988) -
Classification of Gait Patterns Based on Fourier Descriptor and Support Vector Machine
by: Chuang, Chuanwei, et al.
Published: (2011)